Modern Machining Solutions Jobs in Usa

WHO WE ARE

Apex Systems is a leading global technology services business that incorporates industry insights and experience to deliver solutions that fulfill our clients’ digital visions. We provide a continuum of services, including strategy and enablement, innovation and productivity, and technology foundations to drive better results and bring more value to our clients. Apex transforms our customers with modern enterprise solutions tailored to the industries we serve. Apex has a presence in over 70 markets across North America, Europe, and India. Apex is a part of the Commercial Segment of ASGN Incorporated (NYSE: ASGN). To learn more, visit

At Apex Systems, we prioritize professional development, work-life balance, and fostering a collaborative culture. We value our team's well-being and recognize the importance of building strong relationships. That's why we organize regular team-building events and philanthropic days to give back to the community - fostering a sense of purpose and fulfillment among our team.

Join us for career advancement, innovative solutions, and a supportive environment focused on your success.

JOB DESCRIPTION

The Solution Sales Executive (SSE) is a specialized sales professional focused on a specific industry or segment, responsible for generating and closing opportunities within the industry’s accounts. Unlike generalist account managers, the SSE brings deep domain expertise (e.g., Retail & Hospitality, Life Sciences, Banking, Telecommunications) and works collaboratively with account leaders to expand Apex’s business in that niche. The SSE targets mid-to-large sized opportunities that require industry domain knowledge and a consultative sales approach. As a key member of the industry account team, the SSE ensures that specialized client needs are clearly understood and translated into high-impact, tailored proposals. This role is critical for driving incremental revenue in advanced service lines, complementing the Client Partners/Executive Client Partners by focusing on complex solutions growth.

Opportunity Identification & Development

• Proactively identifies new opportunitieswithin existing accounts.
• Engages client stakeholders (often technical managers or business owners) to uncover pain points and requirements related to their specialty.
• Applies domain knowledge and deep customer knowledge to recommend relevant Apex solutions, seeding ideas for projects or services.
• Builds and maintains a healthy pipeline of solution-specific opportunities across their assigned accounts.
• Works toward achieving a defined solution sales quota or contribution target.
• Monitors pipeline progress and keeps account teams and Segment Leaders informed for their specialty
• Adjusts tactics as needed to meet goals, such as organizing solutions workshops or targeted marketing initiatives

Solution Consultation & Shaping

• Leads the consultative selling process for specific solutions.
• Analyzes client challenges, designs a high-level solution approach (often with a solution architect), and clearly communicates value and technical details of proposed solutions.
• Tailors messaging and demonstrations to the client’s context, leveraging success stories and assets from similar engagements.
• Acts as a solution consultant during the pre-sales cycle to build client confidence.

Sales Cycle Management

• Manages the full sales cycle for solution deals, from initial qualification through proposal, negotiation, and close – ensuring alignment with the overall account strategy.
• Collaborates closely with the account leaders (Client Partner/Executive Client Partner) to integrate solution sales into broader account planning, ensuring cohesive messaging and avoiding siloed efforts.
• Keeps the Client Partner informed and engaged for support, while taking ownership of driving the deal to closure.

Internal Collaboration & Coordination

• Collaborates extensively with internal teams.
• Partners with Industry Tech Executive and delivery SMEs to gather solution designs and effort estimates for proposals.
• Coordinates with the account’s Client Success Executive to understand any delivery implications and ensure smooth execution of sold solutions
• As an embedded member of the industry team, aligns with account managers to prioritize pursuits and share insights.

JOB REQUIREMENTS

• Bachelor’s Degree in Business, Communications, or related field
• 8+ years in technology consulting or solution sales within the relevant capability. In-depth understanding of the solution’s value proposition, typical use cases, and implementation challenges.
• Able to credibly discuss solution benefits and trade-offs with technical stakeholders. Hands-on background (e.g., former engineer or consultant) in that domain is a plus, which enhances authenticity in sales discussions.
• Proven success in selling technology solutions, ideally with multiple closed deals in the $500K-$5M range.
• Strong track record of meeting sales targets by converting specialist opportunities.
• Adept at both cultivating new demand and responding to inquiries in a way that significantly differentiates Apex from niche competitors in the solutions area
• Excellent consultative selling and needs-analysis skills with the ability to ask probing questions, educate clients on complex topics, and guide toward recognizing value of a solution
• Comfortable doing product/service demonstrations or workshops.
• High credibility and rapport-building skills with mid-level client experts.
• Effective collaborator within integrated account teams, keeping internal account leadership informed and aligning solutions pursuits with account objectives.
• Experience working in a matrix sales environment with joint accountability.
• Excellent communication skills to keep all stakeholders informed and aligned.
• Self-motivated and proactive in pipeline generation with the ability to creatively leverage internal and external resources (marketing, partners, webinars, etc.) to stimulate interest in their solution area.
• Strong negotiation skills for scope and price within deal frameworks.
• Demonstrated ability to handle common objections for their solution and navigate procurement hurdles in collaboration with account leaders.
• Target-driven consistently working to achieve quarterly and annual solutions sales goals, persistently following up on leads and nurturing prospects over time.
• Hybrid with 2 days in-office

OUR COMPREHENSIVE BENEFITS

• Competitive Salary
• Health, Dental and Vision Insurance
• Health Savings Accounts (HSA) with Employer Contribution
• Flexible Spending Accounts
• Long and Short-Term Disability
• Life Insurance
• Voluntary Benefits
• Employee Assistance Program
• Paid Parental Leave
• Wellness Incentives
• Vacation and Holiday Pay
• 401(k) Retirement Plan with Employer Match
• Employee Stock Purchase
• Training and Advancement opportunities
• Tuition Reimbursement
• Birthdays Off
• Philanthropic Opportunities
• Referral Program
• Partial Gym Membership Paid
• Team Building Events
• Discount Programs

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact

Accelerate Professional Talent Solutions has a great opportunity available for a Machinery Design Engineer at a company in Carol Stream, IL. This is a direct hire position. Apply now!

Machinery Design Engineer Responsibilities:

- Developing detailed mechanical designs using CAD software

- Performing calculations and simulations to ensure structural integrity and performance

- Creating and maintaining technical documentation, including blueprints and specifications

- Collaborating with vendors and suppliers to select and integrate components

Requirements for Machinery Design Engineer:

- Bachelor's degree in Mechanical Engineering or a related field

- Proven experience in machinery design and development

- Expertise in CAD software (Autodesk Inventor, AutoCAD 2D, etc.)

- A strong understanding of materials science, mechanics and manufacturing processes

- Familiar with welding methods and processes

Benefits:

- Health coverage including BCBS Medical, Dental, Vision and Life Insurance

- 401k retirement plan

- Earned vacation time and 10 paid holidays

- Annual performance review

- Profit sharing

- Reimbursement for qualified training

- Teammate appreciation events

- Referral pay for referring a friend or colleague

- Teammate assistance programs

- Positive work-life balance to maintain mental health

- Easily accessible and modern facility

- Stability of industry-leading company in business over 40 years

Qualifications:

• 10+ years of overall technical experience with at least 5 years leading teams as a solutions

• Previous experience in driving composable commerce solutions for B2C digital commerce capabilities on web/mobile/app platforms.

• Use of AI/data centric approaches to scale customer journeys and digital back- end systems.

• Proven track record of collaborating on high level abstract problem, business or technical and turning them into successful features.

• Experience working with distributed team members both onshore and offshore

• Strong communication and interpersonal skills, with the ability to build relationships easily and collaborate effectively with cross-functional teams.

• Well versed with UX methodologies, back-end integrations, Agile, CI/CD, DevOps, automation to build low touch systems.

• A coach and mentor who can demonstrate the craft of technology and show the way to remove roadblocks.

• Experience developing capabilities with leading ecommerce platforms like Shopify, BigCommerce, Salesforce Cloud. Having a good understanding of helping make Buy vs Build decisions. Integration experience with incorporating third party products/vendors to enhance ecommerce capabilities.

• Familiarity with modern frameworks and libraries – React, Vue, Next.js

• This position will require you to work onsite at either our Beverly Hills or Sam Ramon office.

BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class.

This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description.

AGE Solutions is looking for a Sr. Cross Domain Solutions Support Specialist to join our team in support of an upcoming cybersecurity risk management and assessment program with our DoD customer. In this position, you will organize and manage DSAWG and CDTAB meetings, including scheduling, logistics, agendas, and minutes. You will also participate in and contribute to weekly, monthly, and quarterly working groups, boards, and panels to include CDTAB, DSAWG, Information Domain, and IRSMC board meetings.

Individuals in this role must be available to work on-site at Ft. Meade, MD for the majority of the workweek.

Responsibilities Include:

• 
  
• Coordinate with DISA stakeholders, ISSMs, and PMs to resolve non-compliance issues identified in the Cybersecurity Scorecard.
  
• Keep DISA senior leadership and cybersecurity stakeholders informed of all Cybersecurity Scorecard non-compliance findings.
  
• Serve as the primary briefer for CDS requests, tickets, ad-hoc meetings, and annual reviews at CDTAB, DSAWG, Information Domain, and IRSMC boards.
  
• Apply broad technical expertise in cybersecurity, networking, system architecture, cross-domain technologies, DMZ design, and controlled interfaces.
  
• Participate in and contribute to weekly, monthly, and quarterly working groups, boards, and panels.
  
• Support the CDTAB Chair and Secretariat on CDS-related issues and actions.
  
• Implement CDTAB strategic goals including policy planning, risk analysis, and vulnerability assessments.
  
• Identify and propose issues requiring CDTAB risk decisions and organize topics for monthly meetings.
  
• Execute DSAWG strategic goals and conduct risk and vulnerability assessments for related initiatives.
  
• Maintain DSAWG and CDTAB online platforms, ensuring access to briefings, policies, references, tracking tools, and contact directories.
  
• Notify the CDTAB community of all CDS tickets and requests pending review.
  
• Organize and manage DSAWG and CDTAB meetings, including scheduling, logistics, agendas, and minutes.
  
• Communicate deadlines for submission of agendas, briefs, and discussion topics.
  
• Draft, proof, and distribute meeting materials to DSAWG and CDTAB members in advance.
  
• Maintain standardized briefing templates and formats for both forums.
  
• Record and publish all meeting minutes, decisions, briefings, and supporting documents.
  
• Keep updated contact lists and email distribution groups for members and advisors.
  
• Develop monthly status reports (MSRs) for CDTAB and DSAWG.
  
• Prepare up to 10 SOPs or internal documents annually.
  
• Create up to 5 technical papers per year on DSAWG-related issues for coordination with DoD/IC stakeholders.
  
• Produce up to 12 white papers, CONOPS, and contingency plans annually to support RE4 functions.
  
• Manage monthly ballots for CDTAB and DSAWG, averaging 20 CDS requests, 20 tickets, 10-20 briefings, and 15 annual reviews-volume may vary monthly.
  

Requirements:

• 
  
• Bachelor's degree (IT-related field preferred)
  
• Six (6) or more years leading Risk Management teams
  
• Five (5) or more years IT program management experience leading audits and inspections in DoD/Federal environment
  
• Have an active DoD Top Secret clearance with SCI eligibility
  
• DoD 8570 IAM or IAT Level III certification
  
• Functional area expertise in National and DoD IT policy
  
• Expert level knowledge and experience as a technical expert providing technical direction, interpretation, and alternatives in areas such as but not limited to; Information Systems Architecture, Telecommunications Systems Design, Architecture, Implementation, Information Systems Integration, Software Development Methodologies, Security Engineering, Communications and Network Systems Management.
  
• Expert level knowledge in guiding the successful completion of major programs and may function in a project leadership role Proven ability to prepare and present technical documentation, strategic briefings, and governance materials for senior-level DoD boards (e.g., CDTAB, DSAWG, IRSMC)
  
• Excellent technical writing and communication skills with the ability to convey complex information clearly to technical and non-technical audiences
  
• Customer service skills
  

Compensation: $120,000+

At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.

• 
  
• 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  
• Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  
• 401(k) with Match: We match 3% of your contributions with immediate vesting.
  
• Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  
• Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  
• Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  
• Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  
• Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  
• Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.
  

At AGE, you'll do work that matters, supported by a company that delivers for its people.

Senior Machine Learning Engineer- LOCAL to Beavercreek, OH only

About the Company:

Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers’ most significant challenges and opportunities.

Most important to us are our culture and values. Etegent’s culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun.

The Position:

Etegent is seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance, and Reconnaissance (ISR) group based in the Beavercreek office. MLEs will work in a team environment with Etegent teammates, customers, and other researchers from leading academic institutions, government organizations and commercial entities.

We deliver solutions in the domains of AI/ML, data science, software, and visualization to address geospatial intelligence (GEOINT) challenges for Department of Defense and Intelligence Community (DoD/IC) customers. We develop data science tools to analyze large, diverse datasets from a variety of sensor types (SAR, ISAR, GMTI, HIS, EO, IR). We design and implement algorithms to perform pattern recognition, such as statistical and deep learning techniques, to identify meaningful trends and patterns. We wrap these algorithms in accessible, scalable software to be deployed on customer systems, often requiring containerized software and custom user interfaces for visualization.

This position is based in Beavercreek, OH with the expectation of being in Etegent’s office or at a customer facility 5 days a week.

The Candidate:

More so than seeking a candidate with specific niche training, Etegent is seeking a technical leader defined by innate curiosity and a "product-first" mindset. They understand that the best model is the one that solves the customer's problem within pragmatic constraints. We need a Senior MLE who is not just technically sharp, but also an effective mentor and a savvy communicator. We are seeking someone who can navigate the ambiguity of client requirements and translate them into actionable research paths for the team.

Job Responsibilities:

• Lead project teams through the full R&D lifecycle. You will be responsible for aligning technical execution with schedules, budgets, and client expectations.
• Maintain a 50/50 balance between leadership and technical execution. We need a leader who can both be "in the trenches" designing algorithms and can handle project oversight and mentorship.
• Serve as a primary technical interface for our customers. This involves translating complex algorithmic concepts into clear, value-driven updates and navigating stakeholder feedback with transparency.
• Architect and oversee the implementation of signature exploitation algorithms. You’ll determine the best path towards addressing the customer need – whether by traditional feature extraction or modern deep learning approaches.
• Support business development and growth. This includes partnering with leadership on the bidding process, drafting white papers, and presenting technical solutions to prospective clients.
• Elevate the team through active mentorship. You will provide high-level project oversight and lead constructive research reviews to improve the group's collective output.
• Own the documentation and reporting process. You’ll ensure that project updates, proposals, and final reports present a cohesive, professional narrative.
• Build for scale. You’ll drive the development of data science tools to handle the ingestion and analysis of diverse, large-scale datasets.
• Standardize quality and rigor. You will reinforce best practices for data analytics and performance evaluation to ensure our results are repeatable across different applications.
• Promote a culture of humility. Encourage an "ego-less" engineering environment where diverse perspectives are valued and feedback is focused on the best technical outcome.

Required Qualifications:

• Bachelor's Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics.
• 4-5 years of previous signal processing, computer vision, and/or machine learning experience.
• Previous experience leading project teams for government contracts.
• Experience maintaining successful relationships and developing business with R&D customers.
• Experience developing software tools capable of deriving value from large, diverse datasets.
• Background in data science, statistics, and/or computer vision.
• Experience with Python, GIT, and Linux.
• Ability to acquire and maintain up to a TS security clearance.

Preferred Qualifications:

• Active TS security clearance
• Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR.
• Experience creating python-based user interfaces for data visualization.
• Familiarity with DoD/IC customers.
• History of technical presentations and publications in relevant fields.

Attributes:

• Pragmatic decision-maker who understands when to push the envelope with new research and when to prioritize a stable, proven solution to meet a deadline.
• Invested mentor who takes pride in the professional growth of junior staff and fosters a collaborative, ego-less environment through active listening and constructive feedback.
• Independent and innovative thinker with an ability to work in an autonomous environment.
• Demonstrates curiosity with a focus on innovating solutions for tasks.
• Effective communicator who can collaborate with teammates and customers to solve problems.
• Able to take personal ownership and responsibility over their work.

Working at Etegent:

At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:

• Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
• Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
• Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
• Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
• Fun employee events: Enjoy frequent employee get-togethers outside of work!

Competitive compensation based on qualifications and experience of candidate.

Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Employment Type: Hourly Shift: Third Work Arrangement: Onsite Position Summary: Operate and maintain manufacturing equipment at a standard that meets or exceeds all internal and external customer requirements. Work in a manufacturing environment following appropriate policies and procedures to ensure successful execution of position responsibilities.

Major Duties and Responsibilities:

• Responsible for operating the filling and/or packaging equipment. Duties may include, completing daily and weekly P.M.s, adjusting and aligning all primary functions of the machinery. Responsible for making minor mechanical repairs and replacement of certain defective parts
• Demonstrate a thorough understanding of the filler and packing functions of the machine and have the ability to troubleshoot issues and make necessary adjustments in the HMI
• Maintains daily production and quality records, operates the equipment in a safe manner, and keeps the work area clean
• Assists in the training of the production assistants, to assure quality parameters are adhered to, and GMPs and safety rules are followed. Ability to train and evaluate trainees
• Installing and maintaining all information in the product library
• Performs sanitation of filling line equipment including operating the C.I.P. circuits, mixing chemicals in their correct proportions following all safety requirements and wearing all required personal protective equipment (PPE)
• Responsible for following all food safety policies, procedures and regulatory criteria including the current SQF code, Good Manufacturing Practices (GMPs), and the Food Safety Modernization Act (FSMA) and associated preventive controls
• Other duties as assigned

Education and Experience:

• High School Diploma/GED or equivalent experience

Knowledge and Skills:

• Effective written and verbal communication skills
• Thorough knowledge of filling and packaging equipment
• Good mechanical ability including the ability to diagnose and resolve mechanical abnormalities and to set up and maintain machinery making routine adjustments

Why Join Us: Ventura Foods innovates and manufactures food solutions for foodservice and retail businesses. We make exclusive products for the world's most iconic restaurants and retailers, we provide ready-to-go product solutions for professional kitchens, and we make consumer brands everyone knows and loves. When you work for Ventura Foods, you get a strong foundation of training, a manager who cares about you and celebrates your success, a safe environment, and challenging work. As part of our team, your future is limited only by how much you're willing to push yourself to get there. We invest in your growth because you invest in ours. Ventura Foods offers career growth opportunities as well as competitive compensation and benefits:?

• Medical, Prescription, Dental, & Vision – coverage beginning on your 1st day for eligible employees?
• Profit Sharing and 401(k) matching (after eligible criteria is met)?
• Paid Vacation, Sick Time, and Holidays?
• Employee Appreciation Events? and Employee Assistance Programs Physical Demands: All jobs require sufficient physical strength and dexterity to perform the required task(s) and typically also require at a minimum: intermittent sitting, standing, walking, climbing, squatting, kneeling, pushing, and pulling. Occasional lifting and/or moving up to 50 pounds or more with assistance may also be required. Please see the job description for specific requirements. Work Environment: Please see the job description for specific requirements of the position for which you are applying. Typical shifts are 8-12 hours per day. Additional unscheduled time after hours and on weekends may also be required. Employees must be willing and able to wear personal protective equipment as required by Company policy and/or legal requirements. In addition, certain jobs may require employees to:
• Work outside and/or in adverse temperatures which could include extreme heat, cold, and humidity;
• Be exposed to vibrations, chemicals used in operations, fumes and food allergens (may include soy, dairy and other allergens); and
• Be required to work in confined and dark spaces, and at heights in excess of 18 feet. Diversity & Inclusion: Our commitment to a diverse and inclusive environment in which all employees are treated with respect is evident in our company culture and values. We believe that fostering an environment of inclusion and a focus on diversity across our organization is vital to attracting top talent, driving innovation, and meeting the high expectations of our customers in a rapidly evolving global marketplace Ventura Foods is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

Process Operator / CNC Machinist

Siemens Energy in Charlotte, NC is actively recruiting for full-time CNC Heavy Machining/ Process Operator position on a 5:30am-6:00pm Fri- Sun shift.

A Snapshot of Your Day

Set-up and operate a variety of manufacturing equipment using CNC controls for multiple operations to include but not limited to machining (Horizontal Boring Machines, Laser Drillers, 5-axis milling machines), bonding process, heat treatment, manual machining and hand tools, etc. Must have the ability to wear a respirator and pass a Machining/Process Operator Competency Test.

How You’ll Make an Impact

* Embrace Safety & Quality Culture.

* Required to lift / move 50lbs of materials

* Interpret detailed drawings/sketches, blueprints, manufactures specifications, etc., and figure out necessary tools to perform required machining operations

* Using material handling devices (Jib & B/C cranes and forklifts), loads/unloads parts from machines and/or assists crane operator.

* Follows Siemens established procedures to operate machinery and equipment.

What You Bring

* High School diploma or GED

* Minimum of 3 years in CNC operations, specifically in the following areas:

* Machining

* Laser applications

* Coating machines (specific experience preferred)

* Required Certifications:

* Fork truck/crane license (Active or ability to obtain it immediately on selection)

* Career Readiness / Work Keys Certificate - Silver Status.

* Skills: Proficient in CNC operation, loading/unloading workpieces, adhering to QA protocols, performing complex metrology, and interpreting complex drawings; strong shop math skills.

* Ability to wear a respirator and pass a Process Operator Competency Test.

* · Successful applicants must be able to pass standard hearing, vision, and pulmonary function tests as required to perform the duties.

*

About the Team

Gas Services

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: [1] Rewards

* Competitive Pay

* Plant Bonus Eligible

* Career Growth, Training and Development Opportunities

* Supportive Work Culture

* Company Paid Health and Wellness Benefits

* Company Sponsored Volunteering Opportunities

* Paid Time Off and Paid Holidays

* 401k Savings Plan with Company Match

* Family Building Benefits

* Parental Leave

At a Glance

Company: Karl Storz
Location: Franklin, MA (On-site)
Job Type: Full-Time
Pay Range: $97,900 – $127,400 per year (DOE)
Shift: Day Shift | Monday – Friday
Overtime: As Needed
Experience Level: Senior (5+ years machining/manufacturing experience)
Education: Bachelor’s Degree Required (Mechanical or Industrial Engineering)
Industry: Medical Device Manufacturing
Apply: Directly through hireCNC

---

Why This Role Exists

This role exists to support ongoing product innovation, process optimization, and production scalability within a high-precision medical manufacturing environment.

At Karl Storz, this Process Engineer plays a key role in developing, improving, and sustaining CNC machining processes used to produce complex surgical components — ensuring efficiency, quality, regulatory compliance, and long-term manufacturability.

---

The Work You’ll Be Doing

In this role, you will:

• 
  
• Develop machining processes and operation sheets from engineering data
  
• Implement new manufacturing methods, tooling, and equipment improvements
  
• Optimize processes for quality, efficiency, and cost reduction
  
• Design assembly tooling, jigs, fixtures, and production aids
  
• Lead cross-functional projects from concept through implementation
  
• Analyze manufacturing data and drive corrective actions with Quality teams
  
• Evaluate outside processes and vendors for performance and reliability
  
• Support capacity planning and equipment selection decisions
  
• Create clear documentation to support production and compliance
  
• Train personnel and provide daily technical support to production teams
  
• Ensure compliance with FDA, ISO 13485, ISO 9001, and GMP standards
  

---

Machines, Controls & Manufacturing Environment

You’ll support machining operations involving:

Equipment: Multi-axis CNC mills, lathes, and precision machining systems
Inspection Tools: CMM, profilometers, vision systems, precision metrology equipment
Process Tools: SPC methods, Lean manufacturing techniques
ERP Systems: SAP, Oracle, or similar

---

Materials You’ll Work With

• 
  
• Stainless Steel
  
• Nitinol
  
• Nickel Alloys
  
• Other medical-grade materials
  

---

What We’re Looking ForRequired:

• 
  
• Bachelor’s degree in Mechanical or Industrial Engineering
  
• 5+ years of manufacturing or machining-related experience
  
• Strong knowledge of CNC machining processes and equipment
  
• Proficiency with GD&T and precision metrology
  
• Experience developing and improving manufacturing processes
  
• Strong documentation and project management skills
  
• Ability to manage multiple priorities in a regulated environment
  
• Excellent communication and cross-functional collaboration skills
  

Preferred:

• 
  
• Medical device manufacturing experience
  
• Lean Manufacturing or Six Sigma certification
  
• Fixture and tooling design experience
  
• GMP / FDA-regulated environment experience
  
• ERP experience (SAP or Oracle)
  

---

Why Engineers Like Working Here

Professionals choose Karl Storz because:

• 
  
• Clean, modern, climate-controlled manufacturing facility
  
• Meaningful work supporting life-saving medical technologies
  
• Strong collaboration between engineering, production, and quality
  
• Stable workload with long-term growth opportunities
  
• Competitive salary and comprehensive benefits
  
• Tuition reimbursement (up to $5,250/year)
  
• 401(k) with 60% match on first 6%
  
• 3 weeks vacation + 11 paid holidays
  
• Up to 8 weeks fully paid parental leave
  

---

Pay, Benefits & Schedule

Pay Range: $97,900 – $127,400 per year (based on experience)

Benefits Include:

• 
  
• Medical, dental, vision
  
• 401(k) with company match
  
• PTO + paid holidays
  
• Tuition reimbursement
  
• Parental leave
  
• Life, STD/LTD insurance
  
• Flexible Spending Accounts
  
• Wellness and fitness reimbursement
  
• Pet insurance options
  

Schedule:
Day Shift | Monday – Friday

Overtime: As needed

---

Apply

Interested candidates can apply directly through hireCNC.

Apply Now or Save This Job to come back later.

Presales Solution Architect – US

Series AI Start-up - AI/ML

Location: San Francisco Bay Area (Hybrid)

Salary: Market-leading salary package + stock + benefits

The Role

As a Presales Solution Architect, you’ll operate at the intersection of enterprise AI — helping organizations unlock predictive intelligence from the structured data that powers their business. You’ll work hand-in-hand with Enterprise Account Executives and technical stakeholders to identify architectural challenges, design scalable AI solutions, and guide customers through high-impact technical evaluations that directly drive revenue.

This role is perfect for someone energized by solving complex technical problems, engaging deeply with customers, and clearly articulating how advanced AI capabilities translate into measurable business outcomes. If you thrive in fast-growth environments and want to help enterprises operationalize next-generation AI at scale, you’ll excel here.

What You’ll Do & Achieve

• Drive technical discovery sessions to identify high-impact, high-value use cases where enterprise AI delivers measurable ROI.
• Collaborate with Sales to create compelling demos, run competitive benchmarks, and prototype solutions on customer datasets to accelerate deals.
• Own the technical vision for assigned customers, cultivating deep relationships with senior stakeholders and shaping long-term adoption strategies.
• Lead end-to-end solution delivery, coordinating cross-functional teams — including engineers, IT, governance, and business stakeholders — to remove blockers and ensure alignment.
• Architect scalable, production-ready solutions and integration patterns that perform reliably in complex enterprise environments, from on-prem systems to cloud VPCs and legacy infrastructure.
• Capture patterns and insights from deployments to generate high-impact engineering feedback, informing product and model development.
• Develop repeatable deployment strategies, reference architectures, and best-practice playbooks to accelerate the impact of the broader Solutions Architect team.
• Travel up to 50% of the time to engage directly with customers and deliver hands-on solution experiences.

Who You Are

• 7+ years in customer-facing technical roles (e.g., Solutions Architect, Sales Engineer, ML Engineer, Data Scientist) with proven success delivering complex AI or ML solutions.
• Track record leading enterprise-scale technical implementations, spanning modern Generative AI or traditional machine learning systems, across cloud and on-prem environments.
• Experienced navigating multi-stakeholder enterprise environments, balancing competing priorities, and driving deployments to completion.
• Exceptional communicator, capable of translating complex technical concepts for both technical and executive audiences.
• Hands-on technical expertise in data manipulation, rapid prototyping, and analysis using tools such as Python, Pandas, and SQL.
• Collaborative, cross-functional mindset — skilled at balancing trade-offs and working effectively across teams to achieve outcomes.
• Self-starter with the ability to own initiatives end-to-end, quickly fill knowledge gaps, and deliver results.

Follow Scout Global for more roles like this

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Make an Impact at Sandridge Crafted Foods!

Now Hiring: Machine Operators & General Laborers

$1,000 Sign-On Bonus – Attendance Bonus

At Sandridge, we do more than produce food—we create fresh, high-quality products that customers love and trust. Every item is made with carefully selected ingredients, innovative thinking, and a strong commitment to consistency and excellence. From chef-inspired recipes to small-batch attention, delivering great flavor is at the heart of everything we do.

We’re looking for dedicated Machine Operators and General Laborers to join our team. In this role, you’ll work with modern equipment and play a key part in keeping our production lines running efficiently. Your contributions will help bring our products from concept to completion.

Why You’ll Enjoy Working Here

• A fast-paced environment where no two days are the same
• A supportive team that values collaboration and respect
• Opportunities to learn new skills and grow within the company
• Perks that help make your workday more enjoyable

If you’re dependable, hands-on, and ready to grow with a company that values your contributions, we’d love to connect with you.

Bring your motivation. Bring your work ethic. Let’s build something great—together.

$20.97 - $22.47 hourly

What You’ll Do:

As a Machine Operator, you’ll be at the heart of our production process, running the machines that turn fresh ingredients into crave-worthy dishes. You’ll:

• Set up and operate a variety of food processing equipment — from mixers to fillers and more
• Keep things running smoothly by monitoring equipment and making quick adjustments
• Ensure every product is perfect, meeting our high standards for quality, consistency, and safety
• Stay sharp by identifying issues before they become problems and working with the maintenance team when needed
• Support a hygienic and hazard-free production environment, because food safety is everything
• Document your work accurately so we can keep improving every day
• Work with a tight-knit team that has your back and celebrates your wins

What We’re Looking For:

• A go-getter with a strong work ethic and a positive attitude
• Previous machine operation experience in a manufacturing setting or food manufacturing experience is a plus
• High school diploma or GED required, and the ability to follow verbal and written work instructions
• Previous experience in a food manufacturing or industrial setting is awesome, but not required — we’ll train the right person
• Comfortable working in a fast-paced, physical environment (lift up to 50 lbs, stand for extended periods)
• Basic mechanical skills and a knack for solving problems
• Ability to follow directions and take pride in doing the job right
• Willingness to work flexible hours, including weekends and overtime when needed

Take Pride in Your Work

At Sandridge, the food we make ends up on tables across the country. Your work helps deliver the fresh, delicious meals that our customers rely on every day.

Agency Disclaimer:

We are not accepting unsolicited resumes from search firms or staffing agencies. Any resumes submitted without a prior written agreement will be considered property of Sandridge Crafted Foods, and no fees will be paid in the event a candidate is hired as a result of the referral.This position is open to direct applicants only.

Compensation details: 2 Hourly Wage

PIf39d07eda661-3631

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Status:

Joining Collins Aerospace isn’t just about finding a job; it’s about embarking on a journey to redefine the future of aerospace technology.

The working lead will spend much of the time performing manufacturing tasks such as calibration, welding, machining, furnace operators demonstrating a high level of proficiency on multiple programs and/or disciplines of moderate to complex difficulty and is considered a subject matter expert (level III) in primary discipline. Operates as a main point of contact for OJT training and auditing process as well as mentors new and current employees. Collaborates with support staff to achieve On Time Delivery, Inventory, Cost of Poor Quality, efficiency, and company goals. The working lead may also support team coordinators by assisting with managing workflow and solving day to day production issues.

External candidates will receive a $1,000 sign on bonus.

What You Will Do

• Learn how to set up and operate precision manual and/or computerized machining centers according to standard work.

• Learn how to adjust machine feed/spindle speeds and the changing of tooling and cutters per machining.

• Learn how to read and interpret blueprints and specifications.

• Understand and follow quality testing techniques. Learn how to inspect product using precision gauges, measuring instruments and equipment.

• Demonstrate proficiency in Manufacturing Documentation and Labor Transactions.

• Support and follow all rules/guidelines/standards set by EHS, Quality, and CI functions as set by your leader and position.

• Actively participates in the Continuous Improvement process as well as safety related activities.

• Working extended shifts/overtime as required by the business

• Some Holiday hours may be required based on business need

• The schedule for this position is Monday through Friday 3:30pm – 12:00am . Training however will be the first 2-3 months Monday through Friday, 7am - 3:30pm.

Qualifications You Must Have

• Typically requires HS Diploma or equivalent or vocational/technical education in related discipline.

Qualifications We Prefer

• Demonstrated skill in executing specific goals and plans to prioritize organize and accomplish daily goals working at times with little or no supervision.

• Demonstrated ability to train, mentor, and help others to improve their knowledge of skills, respected by their peers by setting the example for hard work and ethics.

• Moderate proficiency of Microsoft Excel, Word, and PowerPoint.

• General awareness of production processes, quality control, and other techniques for maximizing the effective manufacture and distribution of goods.

• Working knowledge of continuous improvement tools and processes.

• Working knowledge of manufacturing machines and tools, including their designs, uses, repair, and maintenance, considered a technical expert in at least one discipline.

• Demonstrated experience working on multiple complex programs in primary discipline and capable of working on several moderate programs in primary or additional disciplines.

• Ability to effectively communicate with all levels of employees and management.

What We Offer
 

Some of our competitive benefits package includes:   

• Medical, dental, and vision insurance  

• Three weeks of vacation for newly hired employees  

• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option  

• Tuition reimbursement program 

• Student Loan Repayment Program  

• Life insurance and disability coverage  

• Optional coverages you can buy: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection 

• Birth, adoption, parental leave benefits 

• Ovia Health, fertility, and family planning  

• Adoption Assistance           

• Autism Benefit  

• Employee Assistance Plan, including up to 10 free counseling sessions  

• Healthy You Incentives, wellness rewards program 

• Doctor on Demand, virtual doctor visits  

• Bright Horizons, child and elder care services 

• Teladoc Medical Experts, second opinion program  

• And more!  

This position is not eligible for relocation assistance.

Learn More & Apply Now!

We make modern flight possible for millions of travelers and our military every second.  Our major product lines are on-board virtually every aircraft flying. Be it keeping passengers safe with our emergency power generation systems or creating a positive in-flight experience through reliable cabin pressure controls and quieter engines, Power & Controls focuses on delivering a best-in-class experience to our customers. We hire the top people in the industry. Their ideas drive our performance, and their integrity keeps our customers happy. Join us as we take flight! 

*Please ensure the role type (defined below) is appropriate for your needs before applying to this role. 

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. 

Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world – and access to Collins sites when their work requires in-person meetings. 

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.  

Apply now and be part of the team that’s redefining aerospace, every day.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

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