Prosumer Espresso Machine Jobs in Usa
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We are currently assisting our client, an industrial manufacturer, with a Machine Design Engineering search in the Stow, OH area.
Responsibilities:
- Will be responsible for the design and development of comprehensive machinery and automated systems.
- Engage in collaboration with Project Managers and Engineers to ensure all functional requirements are fulfilled.
- Oversee projects from the initial concept stage through to successful manufacturing.
Key Requirements:
- Proven experience in machine and equipment design.
- Proficiency in 3D CAD software.
- Ability to develop a concept into manufacturing
Additional Information:
- All information will be kept strictly confidential
- Applications will not be considered without a Resume/Curriculum Vitae which includes contact information
Who we are:
• JMI Recruiting Services is a third party search firm that strategically partners with our clients to recruit exceptional talent nationwide. Our customers include Fortune 500, private equity firms, and privately held companies. With our proven process, excellent track record, and willingness to outwork the competition, we consistently deliver quantifiable results.
Machine Builder – 3 Openings (2 Integration, 1 Sub‑Assembly)
Location: Clinton Township, MI
Schedule: Full-time, Onsite
Type: Long-Term Contract
Requirements: Must pass drug screen and background check
About the Role
We are seeking skilled Mechanical Machine Builders—2 Integration Builders and 1 Sub‑Assembly Builder—to join our team supporting automotive equipment build and installation projects. This role requires the ability to work independently with minimal supervision while delivering high‑quality workmanship.
Key Responsibilities
- Perform mechanical integration and sub‑assembly work for automotive OEM projects (Chrysler, Ford, GM).
- Work independently on medium-complexity mechanical build projects.
- Follow equipment installation through all phases, from in-house build to customer-site installation.
- Assist the project team in resolving technical issues or build concerns.
- Read and interpret blueprints, mechanical drawings, and BOMs.
- Update and submit weekly E‑BOM summaries to the Mechanical Supervisor.
- Verify all parts and assemblies conform to specifications and engineering documentation.
- Maintain project schedules, track open issues, and meet deadlines.
- Follow all safety, environmental, and quality system procedures.
- Maintain a clean, organized work area.
- Utilize rigging and crane equipment safely and effectively.
- Perform basic welding as required.
- Provide and maintain own tools and PPE.
Qualifications
- Education: One-year certificate from a college or technical school; or
- 5 years of related mechanical assembly experience; or
- Equivalent combination of education and experience.
- Strong understanding of automotive industry build practices.
- Proficient with standard mechanical tools, rigging, and overhead cranes.
- Ability to work with minimal supervision while maintaining high-quality output.
- Reliable, consistent, and punctual attendance is essential.
Additional Details
- This role requires 100% onsite work.
- Long-term contract opportunity with full-time hours.
- Candidates must successfully pass drug screening and background checks.
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
To learn more about us, check out THIS video on YouTube! We are now hiring for a Decontamination Technician! A Decontamination Technician is responsible for the initial sorting, photographing, decontaminating and drying of all invasive medical devices in the Redmond, Oregon facility.
All work performed must comply with Medline ReNewal’s standard operating procedures as well as FDA guidelines to ensure patient safety.
Decontamination Technicians must be able to work with strong smells (chemicals, body fluids) while handling contamination and/or sharp surgical instruments.
Essential Functions of the Job: Receive containers of devices from receiving team and confirm all necessary paperwork present Sort each bin of incoming contaminated devices by device type in a safe manner Document devices received and forward to appropriate decontamination area or reject if it is a device that is not eligible for reprocessing Take appropriate steps to decontaminate devices which may be one or more of the following; Use chemical soaks to sanitize and loosen debris, Load devices into baskets and place in ultrasonic bath to loosen debris, Steam clean/scrub devices, Scrub devices with variety of implements to remove debris (blood, human tissue) Dry, cleaned devices using compressed air In each duty previously listed, technician must confirm devices are kept separate according to documentation and/or organizational system Verify that devices being sent to next production area are an exact match to documentation and paper records, sign off on documents Assist other departments as needed to ensure production output meets or exceeds goals Other duties as assigned Here’s some highlights of what we have to offer: $1,000 Sign-on Bonus if Hired Set 40-hour Weekly Schedules with Consistent Work Hours Climate Controlled Environment Company Paid Scrubs After 90 Days (uniforms) 3 Choices of Medical Insurance Coverage Dental Insurance Vision Insurance Flex Spending Programs 401k with Company Match Company Paid Life Insurance Company Paid Short and Long-Term Disability Paid Time Off (Vacation, Sick, Holidays) Onsite “Mini-Market” Monthly Employee Treats and Lunches Tuition Reimbursement Program Gym Membership Reimbursement Program Incredible Employee Discounts on Medical Products Required Qualifications: Must be able to communicate in basic English with management and co-workers (Speak and basic reading ability required) Sit or stand for 10 hour shifts with appropriate meal and rest breaks Work in a room with washing machines, dryers, racks, tables, and limited room for movement Work in a room with continuous moderate to high level of noise Lift, push, or pull batches of devices averaging 50 lbs up to 50 times per day Perform repetitive tasks, some of which are small motion tasks through the entire shift Focused and detail oriented to be able to identify product discrepancies or flaws and take appropriate action Preferred Qualifications: High School Diploma or GED Any prior work experience in a manufacturing role is preferred Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $17.25
- $25.00 Hourly The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Date: Mar 19, 2026
Location: San Antonio, TX, US, 78219
Work days/Shift Hours Monday-Friday 9 PM-Complete.
Compensation: Starting pay ranges from $24.53 to $33.51 per hour, based on experience. Additional earning opportunities may include performance-based incentives, quarterly bonuses, referral bonuses, and comprehensive benefits.
General PurposeResponsible for operating various manual and automated equipment in the production process.
Duties and Responsibilities- Set up machinery ensuring all production material are available
- Assist with change overs as necessary.
- Safely operate and monitor all equipment.
- Visually inspect production run and report malfunctions to maintenance department.
- Maintain required records.
- Maintain cleanliness of assigned area.
- Ensure compliance with regulatory and company policies and procedures.
- Education: High School - GED or Diploma required. Bachelor's Degree preferred
- Experience: 1+ years general sales experience required.
- 2+ years sales and customer service specific experience preferred.
- Ability to periodically lift, push, pull 50+ pounds, stand, walk, kneel, bend and reach.
Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at if you need assistance completing this application or to otherwise participate in the application process.
Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
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.
The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.
What you'll do:
- Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
- Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
- Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
- Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
- Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
- Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
What we're looking for:
- M.S/ PhD degree in Computer Science, Statistics or related field.
- Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
- Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
- Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
- Deep hands-on experience in content understanding domains, such as:
- computer vision (classification, detection, representation learning),
- NLP (text classification, entity/topic modeling),
- multimodal / embedding models (e.g., transformer-based representations).
- Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
- Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
- Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
#LI-REMOTE
#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.
US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.
What you'll do:
- Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
- Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
- Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
- Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
- Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
- Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
What we're looking for:
- Strong production Python skills and experience building simulation or modeling systems
- Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
- Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
- Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
- Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
- Clear written communication: you'll be defining new technical directions and need to bring others along
- Ownership: you scope, design, and ship systems end-to-end with minimal direction
- Nice-to-Haves:
- Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
- Experience with discrete event simulation, Monte Carlo methods, or digital twins
- Reinforcement learning - using simulated environments for policy learning and evaluation
- Experience building agentic AI systems or multi-agent simulations
- Big data experience with Scala and Spark
- Systems programming experience in Zig or similar (C, C++, Rust)
- MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#LI-REMOTE
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.
US based applicants only$123,696—$254,667 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.
What you'll do:
- Write production Python that powers real-time bidding, model training, and campaign optimization
- Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
- Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
- Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
- Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
- Serve as a technical lead and mentor on a distributed engineering team
What we're looking for:
- Strong production Python skills: you write code that runs in prod, not just notebooks
- Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
- Familiarity with modern AI tools and good judgment about where they add value
- Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
- Clear written communication: we're a distributed team and writing is how decisions get made
- Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
- Nice-to-Haves:
- Teaching experience
- Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
- Big data experience with Scala and Spark
- Systems programming experience in Zig or similar (C, C++, Rust)
- Reinforcement learning or bandit algorithms in production
- Experience building agentic AI systems or LLM-powered workflows
- MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
#LI-SM4
#LI-REMOTE
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.
US based applicants only$155,584—$320,320 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Apply
Description
HIRING FOR ADVANCED MACHINE OPERATOR ROLES!
APC offers state-of-the-art equipment in a climate-controlled environment that has been named "Best of the Best" in the Best Workplaces in the America's for 12 years in a row!
WAGES STARTING AT:
* $25.46 + PER HOUR
* $3.00 PER HOUR NIGHT SHIFT DIFFERENTIAL
American Packaging Corporation offers an industry-leading benefits package:
* Medical/Health Insurance
* Dental - Employer Paid
* Vision - Employer Paid
* Short Term Disability - Employer Paid
* Long Term Disability - Employer Paid
* FSA - Health and/or Childcare
* Paid Holidays - 11
* PTO
* 401 (k) - lucrative employer matching
* Bonuses including yearly holiday, 401k and quarterly production
Benefit eligibility begins in the first 60 days of employment
Experienced Manufacturing Candidates- APPLY TODAY!
12-hour shift on a 2-2-3 Schedule
Day & Night Shift Available
Cedar City Location: Reliably commute (Required)
Manufacturing: 1+ year (Required)
For over a century, American Packaging Corporation (APC) has been a leading flexible packaging converter for customers throughout North America. We nurture our employees by providing competitive salaries, excellent benefits, 401(k) plans and tuition reimbursement programs. These are just a few reasons why we were named a "Best of the Best" in the Best Workplaces in the Americas awards for 12 years in a row. APC's longstanding success is fueled from the inside out, and we consistently seek to improve our internal operations to propel that success into the future. ?Apply now and join a company that cares about you, your family, and your career!?
Requirements
QUALIFICATION REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION and/or EXPERIENCE: High school diploma or general education degree (GED) required. Previous manufacturing experience preferred.
LANGUAGE SKILLS
Ability to read and comprehend simple instructions, short correspondence, and memos. Ability to write simple correspondence. Ability to effectively present information in one-on-one and small group situations to customers, clients, and other employees of the organization. Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals.
MATHEMATICAL SKILLS
Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret bar graphs.
REASONING ABILITY
Ability to apply common sense understanding to carry out detailed but uninvolved written or oral instructions. Ability to deal with problems involving a few concrete variables in standardized situations.
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand; use hands to finger, handle, or feel; and talk or hear. The employee is occasionally required to walk and reach with hands and arms. This position may require manual lifting not to exceed 50 lbs - reference your department-specific JHA (job hazard analysis) for departmental lifting restrictions. Specific vision abilities required by this job include close vision, color vision, and ability to adjust focus.
WORK ENVIRONMENT
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts. The employee is occasionally exposed to airborne particles and vibration. The noise level in the work environment is usually moderate.
American Packaging Corporation is committed to equal opportunity for all, without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. American Packaging Corporation will make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodation would impose an undue hardship on the operation of our business. EOE/AA Disability/Veteran.
If you are interested in applying for an employment opportunity and need special assistance or an accommodation to apply for a posted position, please contact our Human Resources department at:
.
Principal Research Scientist – AI & Machine Learning
Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.
We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies.
Responsibilities:
• Serve as PI or co-PI on government-funded R&D programs.
• Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization.
• Publish, present, and contribute thought leadership to the AI community.
• Mentor research staff and guide proposal development.
Requirements:
• PhD with 7+ years of research experience.
• Demonstrated leadership in ML, vision, or scientific computing.
• Record of funding, publications, and technical impact.
• U.S. Citizen or Permanent Resident.
Preferred:
• Experience with multimodal learning, uncertainty quantification, or causal inference.
Why Novateur?
Join a team that values creativity and initiative. At Novateur, you’ll lead transformative projects that redefine what’s possible in intelligent systems.
Company Benefits:
Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.
We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.
