United States, Pennsylvania, Machinist jobs
Amazon Applied Science Internship - United States United States, California, San Francisco
Share
NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.
Preferred Qualifications
- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.
These jobs might be a good fit
Amazon Applied Science Internship - United States United States, California, San Francisco
Share
Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
Amazon Fall Applied Science Internship - United States United States, Washington, Seattle
Share
Must be eligible and available for a full-time (40h/ week) 12 week internship between July 2025 and December 2025Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
Amazon Applied Science Internship - United States United States, Washington, Seattle
Share
A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
- Are enrolled in a Master's degree
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming or scripting language like Python, Java, C or C++
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
These jobs might be a good fit
Amazon Fall Applied Science Internship - United States United States, California, San Francisco
Share
Must be eligible and available for a full-time (40h / week) 12 week internship between July 2025 and December 2025.Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
Applied Materials Machinist V United States, Massachusetts, Gloucester
Share
Key Responsibilities
- Can safely operate all machines in the shop performing very complex operations in producing prototype parts, production parts, modifications and repairs to existing parts and assemblies, and/or fabricating parts from steels, stainless steels, aluminum, plastics and other non-metals.
- Supports in-house customers, such as manufacturing, engineering, business units, direct/indirect materials, and facilities. Portrays a customer service approach. Interfaces effectively and courteously with customers.
- Utilizes Work Orders, blueprints, sketches, written and verbal instructions to determine machining process, procedures, tooling and fixtures requirements.
- Performs a variety of machining and/or assembly tasks utilizing standard machine shop equipment, such as surface grinders, drill presses, grinders, sanders, band saws, rotary table, and/or standard band and power tools.
- Plans and performs very complex machine set-ups. Possesses an advanced working knowledge of trigonometry, which is required to accurately calculate angles used in set-ups and machining. Makes full use of machine capacity to minimize amount of machining or number of set-ups required to product parts competitively.
- Performs machining operations, such as milling, turning, facing, boring, chasing single and multiple external and internal threads, drilling, grooving, reaming and chamfering. Monitor machines and verify that part dimensions conform to specifications.
- Performs visual and dimensional inspections to verify compliance with specifications. Uses calipers, micrometers, gauges, indicators, and other inspection tools. Performs rework as necessary.
- Maintains cleanliness of the work area and ensures proper handling of tools, equipment, and stock to prevent loss. Conforms to departmental safety requirements
Functional Knowledge
- Has comprehensive understanding of a range of processes, procedures, systems and concepts within own discipline
Business Expertise
- Has in-depth understanding of how related teams coordinate their efforts and resources to achieve shared and individual objectives
Leadership
- May act as a lead for the team, may coordinate the work of others beyond own area. May provide subject matter guidance to more junior team members
Problem Solving
- Resolves problems by identifying and selecting solutions and applying methods, techniques, experience and precedents; exercises judgment within generally defined practices
Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors
Impact
- Has direct impact through responsibility for the quality of deliverables
Interpersonal Skills
- Demonstrates tact and diplomacy to exchange ideas and information in a concise and logical way
These jobs might be a good fit
Amazon CNC Machinist - 2nd Shift Project Kuiper United States, Washington, Redmond
Share
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
- Setup and operate 3, 4 and 5 axis machining centers
- Perform in process part inspection using micrometers, calipers, height gages and on machine probing.
- Provide feedback to programmers and management for process improvements
- Make necessary adjustments to offsets and maintain part quality throughout the run.
- Intermediate knowledge of tool holders, cutting tools, boring bars, fixtures, inserts and other accessories used on various machines.
- Experience with a variety of materials (aluminum, stainless steels, titanium and nickel based alloys)
- Capable of lifting/moving 30-50 lbsCandidates must be 18 years or older with the ability to understand and adhere to all job requirements and safety guidelines.A day in the life
- 1+ years of machine shop experience operating CNC equipment (multi-axis mills, lathes, routers)
- 1+ years experience machining tight tolerance, high value components
Preferred Qualifications
- Demonstrated analytical, written, and verbal communication skills
- Familiarity with AS9100 Quality Management System
- Excellent communication and leadership skills
- Experience operating heavy lifting equipment such as cranes and forklifts
- Excellent blueprint reading skills including GD&T per ASME Y14.5M-2009 standard.
These jobs might be a good fit
Share
NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.
Preferred Qualifications
- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.
These jobs might be a good fit
