Machine Fabricating Llc Jobs in Usa

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• Ensure a safe work environment for self and others. Follows all safety rules and regulations. Demonstrate commitment to safety program.
  
• Review and follow work instruction, management system procedures and standard operating documents.
  
• Run CNC and manual machines, and hand held tools.
  
• Inspect parts and identify defects and non-conformities. Notify supervisor/lead of non-conformance parts immediately.
  
• Adjust machine settings with assistance when necessary.
  
• Consistently and accurately complete all related paperwork/documentation. For example, inspection reports, part counts, scrap tags, material tags, etc.
  
• Monitor fluids in machine and coolant flow in machine.
  
• Utilizes the 5-S principles (sort, set in order, shine, standardize, and sustain) to maintain an orderly, clean and safe work area.
  
• Regularly meet or exceed efficiency requirements.
  
• Produce parts that meet the Company's quality standards.
  
• Actively participates in CIP events to improve the safety, quality, and efficiencies of our current processes and procedures.
  
• Support and positively contribute to a culture of continuous improvement.
  
• Work at a consistent and steady pace, be prepared to work each day, and report to assigned work center in a punctual manner.
  
• Communicates with supervisor and co-workers in a professional manner
  
• Ensure work center is prepared for the next operator. This includes cleanliness, organization, supporting documentation.
  
• Promote a positive atmosphere. Actively support activities that promote the welfare and morale of TEAM employees.
  
• Will be required to perform other duties as requested, directed or assigned.
  

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• High school diploma or Equivalent
  
• Manufacturing experience desired but not required
  

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• Mechanical aptitude
  
• Basic Math skills, must have a working knowledge of decimals
  
• Ability to read measuring instruments
  
• Ability to read and follow work instructions
  
• Must be detail oriented, with the ability to recognize defects and non-conformities
  
• Ability to work with limited supervision
  
• Regular attendance
  

• OJT for Machining Operator I

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• Ability to frequently lift and/or move up to 20 lbs, occasionally lift and/or move up to 33 lbs., rarely lifting up to 50 lbs.
  
• Ability to stand up to 100% of shift
  
• Ability to do repetitive movements (i.e. bending, twisting, walking)
  
• Able to continuously operate at a minimum of 3 hours
  

When you join BW Design Group as a Project Manager, you are joining a team that will challenge you and position you for growth. In this role, you will work with a team of industry experts to help the world's leading companies solve their most difficult problems. You will join our Packaging Engineering Practice and partner with seasoned leaders, technical specialists, and subject matter experts to deliver the highest quality solutions to our clients with consistency and accuracy.

As a Project Manager, you will be responsible for leading the design, integration, installation, and start-up of packaging lines for food and beverage industries. As a PM you will provide engineering leadership experience and a solid working understanding of process, utility, packaging systems, drafting (CAD), controls, equipment procurement, installation, training, and start-up. Qualified candidates will have a proven track record delivering projects on budget & schedule, managing complex scopes, managing client interaction & expectations, supervising contractors and being able to identify & help develop new business opportunities.

The vision for this role is to support machine safety projects across all markets that BW Design Group supports. We have an established Machine Safety Program that can deliver a complete machine safety solution for our clients. Our solution can include all aspects of a safety life cycle including assessments, safety standard/specification creation, detailed safety design, safety hardware procurement, safety circuit verification, mechanical guarding, implementation/integration, contractor management, project management and safety validation.

Responsibilities:

• Be accountable for all aspects of project execution including line layout, vendor/contractor management, equipment procurement, schedule management, project finances, site management and installation support.
• Define the required scope of supply for machine safety compliance and implement safety life cycle solutions from risk assessments through installation and safety validation.

• Lead the packaging line design, integration, installation and start-up of capital projects, including estimation, justification, budget, schedule, design, implementation, acquisition, installation, start-up, troubleshooting, and documentation.
• Develop equipment design and specifications, design of equipment support systems, and bid analyses.
• Lead communications with vendors (OEM's) and contractors to implement automation solutions.
• Provide engineering solutions for continuous improvement objectives using industry standard tools and procedures (Change Control, ROI, etc).
• Evaluate existing packaging operations, and suggest and drive projects to provide immediate ROI and improve productivity.
• Identify and specify required tooling and/or packaging equipment for projects within designated timelines.
• Develop, maintain and grow solid client relationships.

What You'll Bring:

• B.S. in Mechanical Engineering, Electrical Engineering, Chemical Engineering, or equivalent technical degree
• Minimum 7 years of project engineering/management experience with packaging systems and/or manufacturing automation applications.
• Experience in the food, beverage, household products or personal care industries strongly preferred.
• Experience in supporting and/or implementing machine safety solutions preferred. That experience can come from supporting projects/programs or through completing industry recognized machine safety certifications (i.e. CMSE - Certified Machinery Safety Expert, FS Technician / Engineer (TV Rheinland) Machinery).
• Excellent engineering and leadership skills as well as the ability to simultaneously organize, and successfully execute multiple project responsibilities.
• Highly effective communication and interpersonal skills, and the ability to interact within both engineering and operational environments with both clients, and suppliers.
• Ability to develop, maintain and grow solid client relationships.
• Willing and able to travel as necessary for project requirements to include but not be limited to: project installation and start-up activities, client meetings, company sponsored meetings, trainings, industry related seminars, forums, or conventions, etc.

Our culture and commitment to our people is what sets us apart. We foster an environment of mutual respect, integrity, and unconditional interest in the individual and collective success of our professionals. Our model and entrepreneurial mindset offer a rewarding, challenging, and highly flexible path. As a Project Manager, you will build a meaningful and fulfilling career with the support of professional development resources and mentorships including our First Year Experience program, Individual Development Plans, and Career Path resources and tools. You will be surrounded by exceptional talent who will support your development as both a world-class engineer and a highly effective leader.

Feel like you're on the path to becoming a Project Manager but you're not quite there yet? We'd love to connect with you to see if we can take you from where you are today and grow you into a Design Group Engineering Consultant.

Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify.Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments.

Company: Design Group

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

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.

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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:

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• 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:

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• 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:

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• 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.

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