Artificial Plastic Eye Maker Job Description Samples
Results for the star of Artificial Plastic Eye Maker
Tool Maker - Plastic A
This occupation requires the layout, planning, sequencing of operations and construction of various molds for production and for experimental tools, assembly, and drill fixtures, and dies which are made of materials such as phenolic resin compounds, fiberglass, masonite, metal, and other materials such as: master plaster forms and mockups, plaster check forms, and plaster patterns and patterns for the casting of aircraft parts machinery parts and tooling and of elastomeric/composite tooling materials systems to include mandrels, sub-bladders and bladder bags and other related systems; and the assistance in the development, product improvements and tooling applications of such systems. Basic Qualifications See standard job description Desired skills 5 years minimum experience.
As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Join us at Lockheed Martin, where we’re engineering a better tomorrow.
*Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
- Job Location(s): Fort Worth Texas
Plastic Injection Mold Maker
MMI Engineered Solutions has an immediate opening for an experienced mold maker to work in our tool room. Located in Saline, Michigan, MMI Engineered Solutions is an established but growing enterprise providing world class engineering solutions for advanced composites and engineered resins across multiple industries. We are a plastic injection molding company that designs, builds and maintains our tooling in-house in support of our injection molding operations world wide.
MMI offer's competitive wages, a rich benefits package including, medical, dental, vision, wellness, paid time off (PTO), paid holidays a 401K plan with matching as well as tuition reimbursement.
Our Mold Makers are responsible for building molds from start to finish, as well as restoring, altering and servicing complex molds used in our plastic injection molding facilities. We work with with both aluminum and steel tooling. other reponsibilities include;
- Work closely with Engineering to build new or modify existing injection molds.
- Work with plant Operations to determine mold repairs required.
- Repair injection molds by fabricating and machining inserts, pins and other mold components.
- Disassemble and reassemble molds as required for troubleshooting, modifications or repairs.
- Set up and operate machine shop equipment, including milling, lathes and surface grinders.
- Train and mentor lower level machinists/toolmakers.
- Perform other department functions as required.
- Eight plus (8+) years in the tool making trade
- High School diploma or equivalent
- Sold knowledge of making including including:
- Assembly and disassembly
- Mold components
- Wiring of hot runner systems
- Polishing techniques
- Proven familiarity with typical machining equipment like mills and lathes
- CNC Setup and operation experience a plus
- Demonstrated TIG welding experience a plus
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Plastic Injection Mold Maker
Plastic Injection Mold Maker - $31 per hour ($58-65K) - Automotive Plastic Injection Molding - Working from blueprints and drawings to build and repair thermoplastic and thermoset injection molds; Working with other departments to understand the job scope; Working with the Scheduler to develop the job schedule; Finalizing job plans with the supervisor of mold making; Directing and working with machinists to complete the work; Ensuring that all pieces are made by following the flow of the job through the shop.
2-year degree preferred; or High School Diploma/GED. 5-10 years of experience building thermoplastic injection molds; Automotive supplier experience preferred; JIT manufacturing environment preferred; Ability to read and work off of blueprints and tool drawings; Mechanical and machining ability; Skills in data analysis, organizing, problem solving and planning; Strong communication skills.
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Tool Maker - Plastic A
Job Description :
This occupation requires the layout, planning, sequencing of operations and construction of various molds for production and for experimental tools, assembly, and drill fixtures, and dies which are made of materials such as phenolic resin compounds, fiberglass, masonite, metal, and other materials such as: master plaster forms and mockups, plaster check forms, and plaster patterns and patterns for the casting of aircraft parts machinery parts and tooling and of elastomeric/composite tooling materials systems to include mandrels, sub-bladders and bladder bags and other related systems; and the assistance in the development, product improvements and tooling applications of such systems.
See standard job description
5 years minimum experience.
As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.
Join us at Lockheed Martin, where we're engineering a better tomorrow.
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Job Location(s): Fort Worth Texas
Security Clearance :
Business Unit :
ESS0343 AERONAUTICS COMPANY
Job Class :
Job Category :
Relocation Available :
Work Schedule :
9x80A-9,9,9,9,8 hrs/d in wk1, /9,9,9,9,off in wk2
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Artificial Intelligence Leader – 703
Artificial Intelligence Leader – 703
Palo Alto, CA
Direct Hire – Perm
Salary: BOE – NO CORP TO CORP!!
US Citizens and all other parties authorized to work in the US are encouraged to apply. Our client is not able to sponsor at this time
If you’re not a high level thinker who loves to nerd out and develop cool stuff – this isn’t the position for you. You will lead an incredible team to create groundbreaking technology that beautifully combines natural language processing, big data, and artificial intelligence.
10+ years’ experience with the following skill sets…
- Ph.D. In Artificial Intelligence, Deep Learning, Natural Language Processing, or Machine Learning
- Demonstrable ability to define and quickly develop POCs and prototypes
- Ability to quickly learn complex systems and new technologies
- Demonstrable experience in Computer Vision, Natural Language Processing or Machine Learning
- Proficiency with Neural Networks as a plus
- Startup experience as a plus
- Distinctive ability to attract and select the right people for the right position
- Strong communication and collaboration skills
- Courage to innovate and fail
Electronic Assembler (Controls ~ Artificial Lift) – Claremore, OK
LOCATION Claremore, OK 74017 EMPLOYMENT STATUS Full Time Regular ABOUT THIS JOB Baker Hughes Incorporated has an opening for an Electronic Assembler (Controls) – Claremore, OK . As a leader in the oilfield services industry, Baker Hughes offers opportunities for qualified people who want to grow in our high performance organization. Our leading technologies and our ability to apply them safely and effectively create value for our customers and our shareholders. Baker Hughes is an Equal Employment Affirmative Action Employer. KEY RESPONSIBILITIES/ACCOUNTABILITIES + Performs component assembly of circuit boards, wiring harnesses, connectors, chassis wiring assemblies and mechanical assemblies.
Mounts and solders components, wiring harnesses, connectors and mechanical assemblies. ESSENTIAL QUALIFICATIONS/REQUIREMENTS + High School Diploma or GED + 2 years of electronic assembly or mechanical assembly experience
Ability to work safely within a team and follow and apply all HS & E requirements.
Demonstrated success with past assembly experience with excellent tenure
Ability to perform high and low level temperature soldering.
Ability to identify and read values of common electronic components.
Ability to read and interpret blueprints, wiring diagrams, assembly prints, and electronic schematics.
Ability to follow and work to precise Manufacturing methods.
Ability to operate necessary tooling to accomplish drive assembly. For example, crimpers (manual and electric), Komax Cable machine, XF-500 Micro percussion marking machine, Automatic wire cutting/stripping machine, Voltmeter, Multi-meter, and cut off saw. As well as, a familiarity with all common hand tools.
Knowledgeable with transformers, capacitors, switches, and circuits and common electronic components and fasteners. PREFERRED QUALIFICATIONS/REQUIREMENTS + Strong Electronic Assembly experience is preferred OTHER DETAILS + Work Schedule: Day SHIFT: 5am – 3pm (Monday – Thursday), Overtime will be required. May have to move to 2 nd shift dependent on demand.
Successful candidate will be authorized to work in the US without sponsorship.
COMPANY OVERVIEW Baker Hughes is a leading supplier of oilfield services, products, technology and systems to the worldwide oil and natural gas industry. By being the service company that best anticipates, understands and exceeds our customers' expectations, Baker Hughes Advances Reservoir Performance. The company's 39,000-plus employees work in more than 80 countries in geomarket teams that help customers find, evaluate, drill, produce, transport and process hydrocarbon resources. Baker Hughes' technology centers in the world's leading energy markets are pushing the boundaries to overcome progressively more complex challenges. Baker Hughes develops solutions designed to help manage operating expenses, maximize reserve recovery and boost overall return on investment through the entire life cycle of an oil or gas asset. Collaboration is the foundation upon which Baker Hughes builds our business and develops next-generation products and services for drilling and evaluation, completions and production and fluids and chemicals. For more information on Baker Hughes' century-long history, visit our website. Baker Hughes is an Equal Employment Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to age, gender, gender identity, marital status, pregnancy, race, national origin, ethnic origin, color, disability status, veteran status, religion, sexual orientation or any other protection guaranteed by local law.If you are applying to a position in the US and you are an individual with disability or a disabled veteran status, religion, sexual orientation or any other protection guaranteed by local law and would like any type of assistance to submit an application or to attend any recruitment or selection event, we would like to help you to ensure that your experience is as smooth as possible. If you need assistance, information, or answers to your questions, feel free to contact us or have any of your representatives contact us at Baker Hughes Application Assistance Toll Free at 1-866-324-4562. This method of contact has been put in place ONLY to be used by those internal and external applicants who have a disability and are requesting accommodation.For all other inquiries on your application, log in to your profile and click on the My Jobpage tab. General application status inquiries will not be handled by the call center.
Title:Electronic Assembler (Controls ~ Artificial Lift) – Claremore, OK
Location:NORTH AMERICA-UNITED STATES-Oklahoma-CLAREMORE
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Computer Scientist - Artificial Intelligence
Position Description The Johns Hopkins University Applied Physics Laboratory (APL), a national leader in scientific research and development, located midway between Baltimore and Washington, DC., is seeking a Computer Scientist with a focus on Artificial Intelligence.
Job Summary: The Strike Systems Engineering Group in the Force Projection Sector is seeking a highly skilled and motivated computer scientist who is well-versed in the state of the art of artificial intelligence and autonomous agents, interested in, and capable of, providing technical leadership for national efforts to develop sound options for delivering precision strike capabilities.
Duties: 1. Provide technical direction of and guidance to Laboratory staff in the development of artificial intelligence applications in platforms and programs that support precision strike missions and capabilities. (70%) 2.
Provide regular interface with government sponsors, industry partners, and key Laboratory program and technical staff on activities related to the development of artificial intelligence in military systems. (15%) 3. Provide reviews of technical work in progress and the supporting presentations and written documents. (15%) Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time. ## Qualifications
Required Qualifications: PhD degree in Computer Science or a related discipline and 15+ years of applicable experience with: artificial intelligence systems; autonomous agents; logic-based AI; software development skills; multiagent systems; learning theory; good problem solving skills; strong written and verbal communication skills; ability to work and contribute in a team environment. Demonstrated ability to lead teams of technical professionals.
Desired Qualifications: Familiarity with DoD strike systems and platforms; system design and payload integration; prototype design and fabrication; experience interacting with senior leaders.
Special Working Conditions: Willingness to travel.
Security: Secret Clearance is required. Applicants selected will be subject to a Government security investigation and must meet the eligibility requirements for access to classified information up to the Secret level. Eligibility requirements include US citizenship.
Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu.
Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.
Primary Location: *United States-*Maryland-*Laurel Schedule: Full-time Req ID: 13676
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Technical Specialist Engineer - Artificial Intelligence Technologies
Company Introduction As one of the largest automotive suppliers in the world - Magna International is committed to delivering product and process innovations through our world-class manufacturing operations that combine our unique design, engineering and program management expertise. At the heart of our operating structure is a powerful entrepreneurial culture and Fair Enterprise philosophy, which builds ownership and inspires pride in our employees.
Lead technology roadmap and strategy development for Magna products in the Artificial Intelligence (AI) Technology Domain, including but not limited to the following AI disciplines: Knowledge Representation, Search, Constraint Satisfaction and Machine Learning Techniques, Agent Cognitive Architectures, and Underlying Hardware Architectures. * Conduct technical evaluations of technologies and products being considered by Magna, including but not limited to: technology deep dives, vehicle integration, application analysis, manufacturability, market analysis and cost analysis
Create a consistent framework within which all parts of the organization (commercial and technical) can contribute to the knowledgebase to enable a comprehensive and accurate ranking and assessment of 10-20 major players in the domain with a deep dive of the top 3-5 technologies.
Plan, Organize, Execute and Coordinate meaningful R&D; programs with internal and external Engineering and R&D; Departments, companies, institutions and academia.
Closely collaborate with researchers to guide the course of complex R&D; projects and jointly develop patents and prototypes that can contribute to the commercial success of current and future Magna products or technologies.
Maintain liaison with individuals and groups within and outside Magna, while maintaining responsibility for acting independently on technical matters pertaining to the designated subject area.
Lead advanced strategy development for future Artificial Intelligence Technologies (as per the definition in the Job Introduction) and products based on trend analysis and business strategy.
Lead the ideation process and identify gaps in the existing products and technologies to guide advanced strategy targets that are critical to Magna.
Lead the evaluation of Artificial Intelligence technologies (as per the definition in the Job Introduction) and product designs with adherence to scientific principles, engineering principles, company standards, customer requirements and related specifications.
Conceive of, plan, design and conduct research programs applying theory and principles of physics, chemistry and mathematics. Guide programs and establish scientific and technical directions.
Analyze research results and guide projects to determine feasibility for improvement of component and systems, and functional and performance specifications.
Confer with other project engineers to clarify or resolve problems and develop designs.
Correlate experimental data to simulation data.
Use related computer software and equipment to perform technical analysis tasks.
Maintain project schedules by monitoring project progress, coordinating activities, estimating timing needs and hurdles, sequencing project elements and resolving problems. Prepare and present project progress reports.
Maintain proper filing systems to ensure all information, (electronic or hard copy), is stored according to departments requirements.
Specify requests and coordinate all sub-contracted work (e.g. FEAs, product validation, prototype parts manufacturing, CAD drawing file conversion, etc.) and assure timely completion
Support Testing & Validation activities by specifying test requirement & ensuring tests are completed to specification
Create and execute Test Matrix & P/DFMEA documents – performs analysis of result data to draw conclusions and recommendations.
Interpret technical specifications from OEMS and other sources
Create a repository of relevant specifications and validation procedures for the set of Artificial Intelligence technologies (as per the definition in the Job Introduction) and related products being prototyped and evaluated.
Contribute to team effort by providing innovative ideas for products and processes and by sharing new information with others team members
Support the development of innovative components and modules from the initial concept phase through the complete development process including design engineering, validation, prototyping, testing, and evaluation of the proposed production capable process and business case.
Maintain professional and technical knowledge by reviewing professional publications and establishing personal networks
Present papers, participate in symposia and committees on behalf of the group
Participate on advisory boards and serve as peer reviewer of technical programs. Network nationally and internationally to advance the team’s knowledge.
Keep self and the organization abreast of developments in his/her programs, new technical methods and developments affecting the group for the purpose of recommend changes warranted by such developments. Use this information to update the technology roadmap for Artificial Intelligence Technology.
Pursue education and/or training in Artificial Intelligence technologies
Demonstrate sustained innovation and creativity leading to significant project accomplishments without direct technical supervision. Supervision provided as required on particular assignments as well as on broader general objectives and limits.
Knowledge and Education
Master’s degree or above in Engineering or a “Hard” Science field (Mathematics, Computer Science, Physics, or Chemistry) with exceptional qualifications and experience in research or development (product, material or process); ##### Work Experience * 5-10 years of recent, in-depth, hands-on experience with one or more of the following in the field of Artificial Intelligence (as per the definition in the Job Introduction): requirements, design, development, validation
Demonstrated ability to apply extensive and advanced principles, theories and concepts, and contribute to the development of solutions to complex problems that require innovation and ingenuity.
Demonstrated ability to recognize new science and technologies relevant within existing trends and business strategy and extend them into new applications
Demonstrated technical ability and creativity to initiate, direct, and control specific projects.
Strong spoken and written English language skills. Additional languages desirable.
Experience with Design for Manufacturing and Failure Mode Effect Analysis (DFMEA/PFMEA) * Experience with Manufacturing Process, Assembly methods and materials used in automotive products
Understanding of ANSI, SAE, QS-9000 and other industry/customer related standards
Skills and Competencies
5-10 years of in-depth experience in a technology area related to Artificial Intelligence (as per the definition in the Job Introduction), or equivalent combination of education/experience. This level is not reached on the basis of seniority and satisfactory performance alone. It is based on outstanding qualifications and the needs of the position. Able to act as an authority in her/his field. * AI disciplines of particular interest: Knowledge Representation, Search, Constraint Satisfaction and Machine Learning Techniques, Agent Cognitive Architectures, and Underlying Hardware Architectures. ##### Work Environment
While performing the duties of this job, the employee is regularly required to talk and hear and use hands to finger, handle, and feel. The employee is required to reach with hands and arms and have adequate mobility to stand, walk, sit, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to fifty (50) pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.
Responsible for working in compliance with the provisions of the Health and Safety Act as well as any rules or standards otherwise specified by OSHA or MIOSHA or any other government regulations. Expected to exercise caution in all work activities and report any unsafe conditions, injuries, or near misses to the appropriate supervisor.
DIRECT SUPERVISORY RESPONSIBILITIES: * None INDIRECT SUPERVISORY RESPONSIBILITIES (in working with external groups): * Plan, organizing, and supervise the work of external staff(s) of engineers, scientists and technicians pertaining to projects s/he is responsible for
Evaluate progress of the external staff and results obtained.
Recommend changes to achieve overall objectives.
Advise on the management of staffing needs, selection/ assessment criteria, and hiring process.
Group: Magna Corporate Division: Magna Services of America State/Province/County: Michigan City: Troy Job Type: Regular
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Research Intern: Artificial Intelligence
Research Intern: Artificial Intelligence + Pittsburgh, PA + Intern Company Description Bosch Research Pittsburgh will accept an enthusiastic and knowledgeable research intern for its investigations into developing context-aware intelligent systems.
We wish to develop a personalized system for smart environments, that is capable of making automation decisions on their behalf – using knowledge and context that is generated from past dialogue-based interactions, crowd-sourced structured text, and ambient environmental sensor data. Reasoning over this knowledge may be performed using several techniques, including: probabilistic methods, ontological methods, deep learning, and cognitive architecture. We expect the prospective intern to evaluate and compare multiple strategies.
Together with our faculty collaborators at Carnegie Mellon University’s Language Technologies Institute (in the School of Computer Science), we have made several key developments, which we expect the prospective intern to leverage and extend. Job Description Tasks: + Perform a literature review, to understand the state-of-the-art in context-aware personal assistance, knowledge representation and machine reasoning, and time-series inference and decision-making + Construct a knowledge graph, representing the primitive for machine-reasoning techniques + Analyze sensor data time-series to characterize environmental conditions, with respect to user state + Compare the performance of various reasoning methods + Summarize the findings and contribute to a high quality research paper + Formalize the findings and contribute to a patent submission Qualifications Qualifications: + Strong background in machine learning, ontological reasoning, and probabilistic reasoning + Familiarity with Natural Language Processing (NLP) + Practical experience in developing inference models from time-series data + Practical experience in using MATLAB, R, SciKit, and/or other data analytics toolkits + Publication in top conferences is a plus (e.g., ICAI, IPSN, KDD, ICML, ICDM, AAAI, ISWC, ACL) + Strong research and problem-solving skills + Major(s): Computer Science, Electrical & Computer Engineering, or other relevant area
Degree level: PhD (current student or recent graduate) or experienced MS in Computer Science Additional Information Duration: 14 weeks minimum Start Date: as soon as possible Please indicate what dates you will be available. All your information will be kept confidential according to EEO guidelines.
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Senior Or Lead Artificial Intelligence Engineer – Computational Lingui
JobTitle Senior or Lead Artificial Intelligence Engineer – Computational Lingui
Perform research, development, engineering, evaluation, and integration in the field of computational linguistics Why Should I Consider MITRE? Working at MITRE at http://www.mitre.org/careers/working-at-mitre
Key Functions The position involves researching, developing, engineering, evaluating, integrating, and assisting sponsors with tools for computational linguistics. The areas include but are not limited to machine translation, translation memory, information extraction, name-matching, speech/audio processing, document exploitation, and evaluation. The candidate must be able to range between high-level strategic activities and day-to-day sponsor site activities.
VA: McLean Campus
Required Skills: Experience with computational linguistics tools. Ability to advise sponsor on integration of human language technology into existing sponsor systems.
Ability to evaluate human language technology. Experience in computational linguistics.
Preferred Qualifications Bachelor’s or Master’s preferred in computational linguistics, artificial intelligence, computer science, or mathematics. Minimum Education/ Experience BS and 3 years related experience.
Travel Statement *This position will require overnight travel up to xx % of the time as well as some local travel.
Clearance Statement To be eligible for consideration for this position, a current Top Secret clearance is required.
Relocation Assistance Provided
Req ID 28863BR
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