Sifter Machine Jobs in Usa

• Perform set-up for complex/advanced/non-routine jobs independently
• Use measuring equipment effectively such as micrometers and calipers
• Work from written procedures and work routers
• Dismantle jigs, tools, and special fixtures
• Make tooling as necessary
• Provides training to co-workers on the operation of CNC machines and inspection methods and tools.
• Maintain drawing specifications by monitoring dimensional and visual characteristics to detect non-conformances
• Handle raw material and hazardous waste safely and in an environmentally responsible manner
• Perform preventative maintenance on equipment
• Other duties as assigned
  
  

• High School Diploma or equivalent (will consider candidates with considerable experience in lieu of education requirement)
• 5+ years of experience in performing adjustments and offsets in CNC Machining for Mills and Lathes (Required)
• Effective verbal/written communications skills and organizational skills
• Must have a strong work ethic, attention to detail, good attendance, and flexibility to work overtime as needed The client offers a competitive salary package that is dependent on qualifications and experience, as well as a strong benefit package, plus participation in a company-wide bonus plan. For immediate consideration and faster response, please forward current resume to: Please include job #19695 in subject line. Please note that all candidates applying must be a US Citizen or Permanent Resident. Client will NOT sponsor.
  
  

• Perform set-up for complex/advanced/non-routine jobs independently
• Use measuring equipment effectively such as micrometers and calipers
• Work from written procedures and work routers
• Dismantle jigs, tools, and special fixtures
• Make tooling as necessary
• Provides training to co-workers on the operation of CNC machines and inspection methods and tools.
• Maintain drawing specifications by monitoring dimensional and visual characteristics to detect non-conformances
• Handle raw material and hazardous waste safely and in an environmentally responsible manner
• Perform preventative maintenance on equipment
• Other duties as assigned
  
  

• High School Diploma or equivalent (will consider candidates with considerable experience in lieu of education requirement)
• 5+ years of experience in performing adjustments and offsets in CNC Machining for Mills and Lathes (Required)
• Effective verbal/written communications skills and organizational skills
• Must have a strong work ethic, attention to detail, good attendance, and flexibility to work overtime as needed The client offers a competitive salary package that is dependent on qualifications and experience, as well as a strong benefit package, plus participation in a company-wide bonus plan. For immediate consideration and faster response, please forward current resume to: Please include job #18747 in subject line. Please note that all candidates applying must be a US Citizen or Permanent Resident. Client will NOT sponsor.
  
  

Are you a proven leader in machining operations with a passion for driving efficiency, quality, and growth? Our client is seeking a Machine Shop General Manager for a precision machining and fabrication shop supporting marine, industrial, and commercial customers.

This is a hands-on leadership role where your expertise will directly impact operations, profitability, and team success. If you thrive in a dynamic manufacturing environment and want to make a lasting impact, we want to hear from you.

What You’ll Do

• Lead & Inspire: Oversee day-to-day operations, mentoring a skilled team of machinists and support staff to achieve production, quality, and safety goals.
• Drive Operational Excellence: Manage workflow, scheduling, equipment maintenance, and continuous process improvements to maximize efficiency.
• Financial Leadership: Own the P&L—manage budgets, labor, purchasing, and pricing to ensure profitability and sustainable growth.
• Customer & Vendor Relations: Cultivate strong relationships with clients, suppliers, and vendors, delivering exceptional service and reliable solutions.
• Quality & Safety Champion: Ensure all work meets strict quality standards while maintaining a safe, compliant, and organized shop environment.

Who You Are

• Experienced & Hands-On: Proven background in machine shop operations, machining, fabrication, or related manufacturing leadership.
• People-Oriented Leader: Skilled at managing, developing, and motivating high-performing teams.
• Business Savvy: Comfortable managing budgets, quoting jobs, and driving profitability while delivering value to customers.
• Problem Solver: Strong analytical skills with the ability to troubleshoot operational challenges and implement effective solutions.
• Tech-Enabled: Familiarity with ERP, job costing, and scheduling software; proficient in Microsoft Office.

Why You’ll Love This Role

• Take the reins of a respected machine shop with state-of-the-art equipment and a legacy of precision work.
• Lead a tight-knit, skilled team where your leadership truly makes an impact.
• Play a key role in shaping growth and operational excellence for a manufacturing operation with strong industry reputation.
• Competitive compensation and benefits package, with opportunity for long-term career growth.

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.

Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.

What you'll do:

• 
  
• Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
  
• Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals.
  
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
  
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
  
• Provide visibility to senior leadership regarding the team's global impact.
  
• Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
  
• Build a culture of excellence and expertise within the team.
  

What we're looking for:

• 
  
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
  
• Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus.
  
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
  
• Strong focus on product impact and user experience within a consumer-focused environment.
  
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
  
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
  

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-DM57

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 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 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.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

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. 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

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

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 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 3,000 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.

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
  
• Keeping up with industry trends in recommendation systems
  

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)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• 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
    
  
  
  

Relocation Statement:

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

#LI-SA1

#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.

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 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:

Location: Shakopee, MN

Job Type: Full-time

Reports to: Weekend Production Supervisor

Schedule: Friday - Sunday, 6am - 6pm

Compensation: $20.00 - $23.00/hour with $2.00 shift differential, depending on experience and qualifications

Benefits: Medical insurance, Dental insurance, Vision insurance, Company paid Life insurance and Long-term disability, Short-term disability insurance, 401k with company match, Profit sharing, Voluntary Accident, Critical Illness, and Hospital Indemnity insurance, Paid Time Off

This position is not eligible for sponsorship.

Family-owned and operated since 1995, By the Yard proudly manufactures maintenance-free outdoor furniture and accessories for families and businesses throughout the United States. From the factory to the showroom, we infuse our operations with eco-consciousness. Our furniture has been made from recycled milk jugs since day one, and we continue to focus on green initiatives to build better furniture and a better future. Check us

Our values include:

Pride

Stewardship

Caring

Teamwork

Mutual Success

Investing in the community

Under the direction of the supervisor, operate machines, tools, and equipment in the Mill Room to complete orders to the highest quality.

Essential Duties and Responsibilities:

• Machine material to meet part specifications utilizing work instructions and/or patterns.
• Ensures accurate completion of paperwork; verify part quality and quantities.
• Setup and operate a variety of saws, drill press, CNC machines, hand drills and other hand tools.
• May operate forklift if certified.
• Follow part specifications to produce machined parts by setting up and operating a CNC machine.
• Follows all work orders provided by management.
• Remains compliant with housekeeping standards and all safety and work rules and regulations.
• Recommends new and better processes, and methods where possible to manager.
• Maintains a clean, organized, and debris free work area.
• May perform some assembly.
• Must have the ability to identify and resolve problems in an efficient manner.
• Perform other duties and responsibilities as requested or required.

While these areas are the primary focus of this position, we believe strongly in teamwork and team members will be called upon to perform a variety of duties as part of their role with By the Yard.

An individual in this position must be able to successfully perform the essential duties and responsibilities listed above. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

MINIMUM QUALIFICATIONS:

High school diploma or equivalent.

Experience using tools and equipment.

Perform basic mathematical calculations.

Understand and follow written, verbal and demonstrated directions.

Must have the ability to work closely and efficiently with fellow co-workers.

Must have great organizational skills and be able to multi-task.

Excellent attention to detail.

Must have strong knowledge of quality production.

General knowledge of and ability to use a computer.

Must have strong knowledge of quality production.

PREFERRED QUALIFICATIONS:

2 years or more relevant production or manufacturing experience.

Previous experience operating a variety of saws, drill press, CNC machines, hand drills and other hand tools.

PHYSICAL AND MENTAL DEMANDS:

While performing the duties of this job, the employee is required to regularly stand, and frequently walk, talk or hear. The employee is frequently required to use hands, fingers, handle, or touch objects, tools, or controls. The employee must occasionally stoop, bend or reach above the shoulders, lift and/or move up to 50 pounds, carrying and moving parts, materials, and product. Specific vision abilities required by this job include close vision, distance vision, color vision, and the ability to adjust focus.

The mental and physical requirements described here are representative of those that must be met by an individual to successfully perform the essential functions of this position.

Compensation details: 20-23 Hourly Wage

PI7c871191bb98-26289-39958995

Quality Control Manager – Machine Parts

Location: West Chester, Pennsylvania

Industry: Precision Medical Device Manufacturing

Job Type: Full Time | 100% Onsite

Shifts: 1st (7:00am–3:30pm), 2nd (3:00pm–11:30pm)

Position Overview

Leads quality control activities for precision-machined medical device components. Responsible for inspection planning, First Article and in-process inspections, nonconformance management, ISO compliance, ERP tracking, and mentoring quality staff across machining cells and shifts.

Core Responsibilities

• Develop and oversee inspection plans across machining cells
• Perform and review First Article Inspections and in-process inspections
• Lead nonconformance investigations, MRBs, and corrective actions
• Maintain ISO 9001 and ISO 13485 compliance
• Track quality data and documentation within ERP systems
• Train and mentor inspectors and machinists on quality standards
• Support internal audits and calibration programs

Must-Have Qualifications

• 5+ years quality experience in precision machining environment
• Strong blueprint reading and GD&T knowledge
• Experience performing FAIs and in-process inspections
• Experience managing nonconformance and corrective actions
• Familiarity with ISO 9001 and ISO 13485 systems
• Ability to mentor and train quality personnel

Preferred Qualifications

• CNC or Swiss machining background
• Experience supporting audits and calibration programs
• ERP system experience in manufacturing setting
• Engineering degree or equivalent hands-on experience

Work Environment & Process

• Precision, climate-controlled medical device facility
• Regulated and quality-driven environment
• Uniforms and safety equipment provided at no cost
• Overtime based on production demands
• Interview process includes virtual interviews, onsite visit, and skills assessment

Role – Machine Builder / Electrical Assembler

Salary – $30-35 per hour

Type – Permanent, Full-time

Location – West Chester, OH

My client is an industrial automation and controls engineering firm specializing in custom electrical control systems and automated machinery. They support OEM and industrial customers with PLC/HMI programming, motion control, panel design, and on-site commissioning of integrated automation systems.

They are seeking a Machine Builder / Electrical Assembler to join their team, supporting the build, wiring, and integration of custom automation equipment and electrical control systems.

This position offers long-term stability, a hands-on engineering environment, and the opportunity to work on complex industrial equipment used across a range of manufacturing and automation applications.

The Machine Builder / Electrical Assembler will have the following responsibilities:

• Assemble and wire industrial machinery and control panels according to engineering drawings and schematics
• Install electrical components including sensors, motors, drives, PLC hardware, and control devices
• Perform point-to-point wiring, cable routing, and panel assembly
• Assist with machine build, integration, and mechanical assembly where required
• Support system testing, troubleshooting, and commissioning activities prior to shipment

The Machine Builder / Electrical Assembler will ideally have the following attributes:

• Experience building or assembling industrial machinery or automation equipment
• Ability to read and interpret electrical schematics and wiring diagrams
• Experience with control panels, industrial wiring, and electrical components
• Familiarity with PLC hardware such as Allen-Bradley or Siemens is beneficial
• Strong mechanical aptitude and hands-on troubleshooting ability
• Ability to work both independently and as part of a collaborative engineering team

For more information about this Machine Building role please apply, or email Jack Smillie on who will be able to provide more details on the opportunity.

Many thanks,

Premier Group

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:

Click on this link to read the Policy and Terms

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 3,000 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.

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
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ 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)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• 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
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

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

#LI-SA1

#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.

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.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#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:

Description

At Lactalis in the USA, we believe in promoting from within and giving our employees meaningful opportunities to learn, grow, and thrive. Whether you're just starting out or bringing years of experience, we'll provide the tools and support you need to succeed.

As the world leader in dairy, Lactalis is a family-owned company with over 85,000 pragmatic and ambitious professionals across the globe. Each day, we're proud to produce award-winning dairy products that bring people together.

In the US, we proudly offer an unrivaled house of beloved brands, including Galbani Italian cheeses and ricotta, President specialty cheeses and butters, Kraft natural and grated cheeses, Breakstone's cottage cheese, Cracker Barrel, Black Diamond cheddar, and Parmalat milk. Our yogurt portfolio includes siggi's, Stonyfield Organic, Brown Cow, Oui, Yoplait, Go-Gurt, :ratio, Green Mountain Creamery, and Mountain High, along with a growing family of ethnic favorites like Karoun, Gopi, and Arz.

At Lactalis, we live by our core values-Ambition, Engagement, and Simplicity. We foster a workplace where innovation thrives, diverse perspectives are celebrated, and everyone's unique background and ideas are valued.

Even if you don't meet every qualification, we encourage you to apply. We want to hear about your PASSION, your STORY, and how your EXPERTISE can help us shape the future of dairy.

From your PASSION to ours.

Lactalis USA, part of the Lactalis family of companies, is currently hiring a Machine Operator based in Buffalo, New York.

From your EXPERTISE to ours.

Key responsibilities for this position include: Other duties may be assigned.

Summary: Responsible for operation and maintenance of the bulk filler machine system.

1. Perform pre-shift operational inspection to determine condition of filling machine.

2. Sets up filling machine and related equipment for product to be run.

3. Monitors filling machine during line operation to ensure proper operation and efficiency.

4. Troubleshoots and resolve operational /mechanical problems in a timely basis to ensure an efficient, smooth flow of product.

5. Monitors package seal impressions, integrity, and product giveaway.

6. Changes film in a timely manner to fashion to ensure a continuous, efficient flow of product.

7. Perform product changeover(s) as needed.

8. Performs preventative maintenance on a daily/weekly schedule as required.

9. Maintains an open line of communication with production palletizer, and lead person/supervisor.

10. Perform proper sanitation of the filler before introducing the product.

11. Continuously monitors for abnormalities or inconsistencies in the texture, shape, color, odor or foreign material in or on the product.

12. Continuously monitors for proper code date, lot number and operator code product to be packaged.

13. Familiarizes self with all standard operating procedures.

14. Continuously monitors for proper product temperature during filling.

15. Continuously monitors the cup wash, ensures that it is on and working correctly.

16. Continuously monitors the cooling spirals and investigates any problems.

17. Keeps work area neat and clean at all times.

At Lactalis, we offer a comprehensive Total Rewards Program with a variety of affordable benefits and coverage options. We support insurance costs significantly, contribute generously to retirement plans, and offer Paid Time Off from day one. We are committed to your professional growth, providing training and development opportunities, including Education Reimbursement. Join us and grow your career.

Lactalis is an equal employment opportunity employer. We will not discriminate against applicants with regard to any legally-recognized basis including, but not limited to: veteran status, race, color, religion, sex, national origin, age, marital status, sexual orientation, and physical or mental disabilities. Further, any division of the Company that is an Affirmative Action Employer will comply with all related legal obligations

Requirements

Qualifications:

* Basics mathematical skills are required (must be able to calculate averages)

* Food industry is preferred

* Strong attention to detail and accuracy.

* Must be dependable and be able to work well in a team environment.

Education and/or Experience:

* High School Diploma/GED required.

Duration: Permanent/Full-time

Client: One of the largest Diesel Engines and Power Generators manufacturers in the US

Overview:

We are looking for an Industrial Machine Repair Technician III who troubleshoots, assembles, installs, tests and maintains mechanical systems using all necessary tools to keep equipment available and capable. Learns and understands the protocols of working safely with electricity and other energy sources with industrial equipment. May work independently and instruct or coach others.

Duties:

• Strengthen equipment reliability by expertly troubleshooting, assembling, installing, and maintaining mechanical systems to keep production running smoothly.
• Elevate workplace safety by proactively identifying hazards, stopping unsafe work, and modeling strict adherence to HSE protocols and PPE requirements.
• Improve environmental stewardship by recognizing how daily tasks affect the environment and consistently acting to reduce negative impact.
• Enhance product quality through meticulous craftsmanship, precise use of technical documentation, and thorough inspections that prevent defects and reduce cost exposure.
• Boost operational performance by executing preventive, corrective, emergency, and predictive maintenance that minimizes downtime and supports production goals.
• Develop team capability by coaching less experienced technicians, sharing knowledge, and serving as a trusted resource for troubleshooting and best practices.
• Drive process improvement by identifying constraints, solving recurring problems, and contributing to continuous improvement and TPM initiatives.
• Strengthen team cohesion by communicating clearly, collaborating across support groups, and actively engaging in training and personal development to support collective success.

Qualifications:

• At least 7 years of experience in a relevant trade field, or A Journeyman Trade Certificate with relevant experience, or A 2-year technical degree in a related field, plus 3 years’ experience working in the Machine Repair/Industrial Electrical field.
• Knowledge of mechanical systems including hydraulics, pneumatics, conveyance systems, CNC equipment, and automation required.
• Responsible for completing machine layouts and machine installations.
• Relevant Experience may include: Controls Engineering, Industrial Automation, Robotics, Residential or Commercial Electrical, Heavy Duty Equipment Maintenance, Welding and Fabrication, Machining, and Farming and Agricultural work, specifically maintenance and repair of equipment etc.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA