Farmworker Machine Job Description Sample
Precision Machine Tool Mechanic - Machine Maintenance
Safely work with minimal supervision on precision machine tools in an industrial environment. Independently troubleshoot, diagnose, and evaluate machine malfunctions. Perform repairs, modifications, and overhaul of lathes, mills, multi-axis mill-turn, broaches, precision grinders, numerical control machines. Repair, renew, and/or replace bearings, shafts, gears, and reassemble, and functionally test precision machine tools. Level, lay, scrape, and flake beds and ways to exacting and coordinated tolerances. Fit and scrape bearings; assemble gear trains and fit to exacting tolerances and align spindles, columns, ways, etc. Perform Preventative Maintenance on machines.
High School Degree, GED or equivalent
Ability to diagnose and troubleshoot machine problems in a production environment.
Controls, Hydraulics and pneumatic systems troubleshooting.
Ability to perform precision alignments, ball screw installation and troubleshoot machine mechanical problems.
Able to work any shift (1st, 2nd, 3rd)
- Experience in a production machine tool environment is preferred
Machine Learning Engineer - Machine Learning, Nlp, Cnn, RNN
Minimum Required Skills Machine Learning, Big Data Analytics, Java, Python, NLP Based in San Mateo(right near the closest train stop in a brand new office), we are a privately held, established three year Big Data Analytics start-up using a data-as -a-service to dominate the space.
Through the use of machine learning and artificial intelligence technologies, we predict what the business user wants to visualize and then connects the data to the BI tools for fast and accurate results.
It should come as no surprise that some of the most reputable company's out there like Nike, Disney and Boston Biomedical(to name a few) use our tool of choice.
With the combination of funding we have closed recently along with our rapidly growing customer base, we are looking to hire talented Machine Learning enthusiasts who love data to support our aggressive growth plans that we have ahead.
If you are a Machine Learning Engineer with 2+ years of experience, please read on!
Top Reasons to Work with Us 1.
Disruptive and innovative are just a few words to describe us 2.
We already have over 75 employee's and have been around for less than three years 3.
Competitive Base + Equity + Health Benefits and unlimited PTO 4.
We have fun and are deeply passionate about what we do and what we are trying to accomplish 5.
The chance to join a funded, yet established start-up in an exciting space as our first Machine Learning Engineer What You Need for this Position Although we hire for the person, and not the skill set, qualified candidates should be well versed in a majority of the following area's
MS Degree Required(Ph.D strong plus) in Computer Science
Python Java Scala
Machine Learning Techniques and libraries TensorFlow, MXNET, Keras to name a few
Natural Language Processing(NLP) Recurrent Neural Network(RNN) A few other traits we look for in our employee's
Data and analytics guru
Passionate about open source development and machine learning
Ability to work on a small team with the chance to move into leadership role down the road
You excel in a fast-paced environment and can handle multiple tasks at once
We are looking to interview and hire as soon as we find the right fit.
If you are interested in hearing more prior to jumping on the phone with the HM, please send over an updated resume to my email today -- ben.stehlecybercoders.com Applicants must be authorized to work in the U.S.Please apply directly to by clicking 'Click Here to Apply' with your Word resume!
Looking forward to receiving your resume and going over the position in more detail with you.
Not a fit for this position?
Click the link at the bottom of this email to search all of our open positions.
Looking forward to receiving your resume!
CyberCoders CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your Right to Work
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
Copyright Copyright 1999 - 2018 . CyberCoders, Inc.
All rights reserved.
Machine Learning, Big Data Analytics, Java, Python, NLP
- Machine Learning, Big Data Analytics, Java, Python, NLP
Staff Machine Vision / Machine Learning Engineer (8704)
MicroVision is the creator of PicoP® scanning technology, an ultra-miniature laser projection and sensing solution based on the laser beam scanning methodology pioneered by the company. The technology is well suited to support a wide array of applications including interactive projection, 3D LiDAR sensing for applications such as advanced driver assistance systems (ADAS), robotics and industrial applications, and Augmented and Virtual Reality (AR/VR). MicroVision is an independently recognized leader for its formidable intellectual property portfolio. The company is based in Redmond, Washington.
MicroVision has an immediate opportunity for an experienced Staff Machine Vision / Machine Learning Engineer. As a key member of the MicroVision Product Engineering team, you will collaborate with various technical teams in the company to design and take into production a market defining consumer LiDAR product. The right candidate for this position, at our Redmond facility, will be a highly motivated MV/ML engineer with a breadth of understanding, development and implementation of algorithms for dense 3D point cloud data and low latency object recognition.
Design, develop, implement, and evaluate novel machine vision algorithms as applied to 3D sensing for robotic applications.
Work on large-scale datasets, focusing on building scalable and accurate machine vision systems for consumer LiDAR products.
Collaborate closely with team members on developing systems from prototyping to production level.
Work closely with software engineering teams to drive scalable, real-time implementations.
Expert-level Fluency in C/C++ and Python
Practical knowledge of digital filtering and 3D point cloud data conditioning with vectorization and semantic image segmentation and object recognition.
Specific computer vision skills in object detection, recognition, 3D computer vision, and/or tracking.
3+ years of experience in applying MV/ML techniques to developing software modules for at least 2 of the following: object detection, tracking and classification, SLAM, semantic segmentation and/or path planning.
3+ years of experience in implementing efficient algorithms for computer vision and/or computer perception applications.
Experience developing on at least one ARM-based mobile/embedded platform.
Experience with at least one GPU computing framework (e.g. CUDA, OpenCL, etc.).
Experience delivering production computer vision systems.
Experience with ML frameworks like TensorFlow, Caffe, Torch/Pytorch, etc.
Familiarity with at least one scientific computation package (e.g. Mathematica, MATLAB, etc.)
Experience with C++11, C++14 or C++17 features and principles.
Experience with technology productization involving fields such as computer vision, graphics, robotics, and machine learning.
Experience designing and implementing visualization applications.
Machine Operator III - Fin Machine Operator
Ensuring Chart's Success…
Chart's manufacturing group is critical to building our products on time and of the highest quality to our customers. The Machine Operator III will work towards our production goals along with peers through the direction of lead man, shift supervisor, and plant manager.
What Your Day-to-Day Activities Will Be…
Candidates will have be running McElroy and Happy fin tube machines
Reads, interprets drawings and written instruction applicable to specific machining process.
Performs set-up and operation as required without supervision.
Performs all required measurements.
Capable of required tool selection for required task.
Trains, or assists in training new employees.
Can safely operate overhead or jib type cranes and rigging.
Performs all non-electrical preventative maintenance as indicated by supervision for specific machinery.
Adhere to all safety guidelines and policies.
Other duties as assigned.
Your Professional Experience Should Be…
- The ability to reading a tape measure as well as blue prints.
Your Education Should Be…
- High School Diploma or Equivalent Work Experience
Your Physical Work Environment Will Require…
While performing the duties of this job, the employee is regularly required to:
Standing for prolonged periods of time.
Occasional repetitive lifting up to 60 lbs as regular daily activities necessitate.
Handle or feel objects.
Tools or controls and talk or hear.
The employee is occasionally required to walk, stoop, kneel, crouch or crawl.
Chart Industries is an equal opportunity employer.
Principal Machine Learning Scientist - Machine Translation
Principal Machine Learning Scientist for Machine Translation
Amazon is looking for a passionate, talented, and inventive senior scientist with a strong background in applying machine learning and data-driven methods to Machine Translation (MT) and Natural Language Processing (NLP), to help build our industry-leading MT and NLP technology.
Our mission is to enable superior experience for all of Amazon's customers in their native languages by developing state-of-the art technology and applications in Machine Translation (MT), Natural Language Processing (NLP) and Machine Learning (ML).
As part of our MT R&D team, you will take on a leading role in driving our MT R&D strategy in the area of Neural Machine Translation in 2018 and beyond. You will work alongside our other internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in Neural MT. Your work will directly impact millions of our customers in the form of products and services that make use of our MT and NLP technologies. You will gain hands on experience with Amazon's heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in MT and NLP.
In close collaboration with management, lead the development of a strategic R&D roadmap in the area of Neural Machine Translation by identifying and prioritizing high-value R&D projects that lead to major breakthroughs in the capabilities of state-of-the art Neural MT systems.
Apply advanced machine learning methods to design and implement scalable MT and text understanding systems that significantly advance the state-of-the-art.
Design, development and evaluation of highly accurate and innovative models for translation and for language analysis and generation.
Work closely with software engineering teams to drive large-scale and real-time model implementations and new feature capabilities.
Establish scalable, efficient, automated processes for large-scale data analysis, model development, model validation and model implementation
Research and implement novel scalable machine learning approaches.
Present R&D plans and outcomes internally to senior management and to peer teams within Amazon and externally at top academic and industry comferences and meetings.
Sewing Machine Repairer Supervisor (Sewing Machine Repairer Foreman - Unicor)
Why work for the Federal Bureau of Prisons? You can have a meaningful career with an agency that truly values a diverse workforce.
In our agency, you’ll find a diverse workforce employed from entry level jobs to senior management positions. We protect public safety by ensuring that federal offenders serve their sentences of imprisonment in facilities that are safe, humane, cost efficient, appropriately secure, and provides reentry programing to ensure their successful return to the community. Our employees at federal correctional facilities are "correctional workers first" and perform correctional work regardless of their specific occupation.Our long-standing culture of being a close-knit family sets us apart from other agencies - at the BOP you don't just get to know your co-workers, you make life long friends.We have many facilities located throughout the nation: 122 institutions, 6 regional offices, a headquarters, 2 staff training academies, and 26 residential reentry management offices.In accordance with 5 U.S.C. 3307, a maximum entry age of 36 has been established for initial appointment to a position in a Bureau of Prisons institution. The representative rate for this position is $70,018 per annum ($33.55 per hour).
Learn more about this agency
This position is located in the Federal Prison Industries within UNICOR, at a Federal Correctional Institution. The incumbent of this position primarily serves as a supervisor of an inmate detail engaged in the maintenance and repair of various types of textile equipment and machinery used to produce any type of sewing product or any type of product made from fabric.
The incumbent is responsible for the quality of work under his/her supervision by assuring economical and efficient accomplishment of assignments as mandated by contract and specific product orders.Along with all other correctional institution employees, incumbent is charged with responsibility for maintaining security of the institution. The staff correctional responsibilities precede all others required by this position and are performed on a regular and recurring basis.
25% or less - Travel may be required for training.
Who May Apply
This job is open to…
This announcement is open to the following:BOP Employees in the local commuting area (Internal Employees/Agency Employees Only)DOJ Surplus and Displaced (CTAP) Employees in the LCA.Duty Location: FCI Waseca, NMN
Questions? This job is open to 2 groups.
Job family (Series)
5301 Miscellaneous Industrial Equipment Maintenance
Conditions of Employment
U.S. Citizenship is Required.
See Special Conditions of Employment Section.
The Career Transition Assistance Plan (CTAP) provides eligible surplus and displaced competitive service employees in the Department of Justice with selection priority over other candidates for competitive service vacancies. If your Department of Justice component has notified you in writing that you are a surplus or displaced employee eligible for CTAP eligibility, you may receive selection priority if: 1) this vacancy is within your CTAP eligibility; 2) you apply under the instructions in this announcement; and 3) you are found well qualified for this vacancy.
To be well qualified, you must satisfy all qualification requirements for the vacant position and score 85 or better on established ranking criteria. You must provide a copy of your written notification of CTAP eligibility with your application. Additional information about CTAP eligibility is at: Click Here
To be considered for the position, you must meet the following qualification requirements. Applicant must have had sufficient training and experience to show their ability to perform the duties of the position.Qualifications will be determined by comparing your application to the responses to the Applicant Assessment Questions against the guidelines found in the Job Qualification System for Trades and Labor Occupations, WS-5301 Series.To qualify for this position, you MUST meet the Barely Acceptable level on both screen-out elements (Ability to supervise) and (Aptitude for work with prisoners); receive at least one half of the total possible points; AND you must furnish detailed information on your resume to support your assessment responses to demonstrate that you clearly possess the experience and skills to successfully perform the duties of this position at the journeyman level. Failure to specifically identify skills equivalent to a journeyman in this field may result in your score being lowered or in being found ineligible for this vacancy.The screen-out elements are a critical self-assessment of the applicants experience and are essential for satisfactory job performance.Your eligibility for consideration will be based on your responses to the questions in the application.
This position IS included in the bargaining unit.The Department of Justice provides reasonable accommodations to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please notify the hiring/servicing personnel office.
The decision of granting a reasonable accommodation will be on a case-by-case basis. Selection will be made without discrimination for any non-merit reason such as race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.Special Conditions of Employment Section:Appointment is subject to satisfactory completion of a urinalysis, physical, and background investigation. All applicants are subject to National Crime Information Center (NCIC) and credit checks.All applicants not currently working in an institution will be required to complete a qualification inquiry regarding convictions of misdemeanor crimes of domestic violence in order to be authorized to carry a firearm.The Core Value Assessment (CVA) is an in-person assessment that must be facilitated at a Bureau of Prisons Human Resource Servicing office.
On the day of the scheduled interview, a CVA will be administered. The applicant assessment must be completed within a 70 minute time period and a passing score must be obtained. Further employment consideration will not be extended if the applicant fails to complete the examination or fails to achieve a passing score.
Note: The Core Value Assessment will not be administered to current BOP employees.Successful completion of the "Introduction to Correctional Techniques," three-week training course at Glynco, Georgia is required.The addresses listed on the USAJOBS account/resume must be the primary residence at the time of application. You may be required to provide proof of residence.This position has been identified as test designated. Incumbents will be subject to urinalysis testing under the BOP Drug Free Workplace Plan.
Applied Scientist: Machine Learning
Job Description: Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create? The Role:Are you an experienced Machine Learning researcher who is capable of diving deep into hard technical problems and coming up with insightful solutions that enable successful products? Are you unafraid of tackling a mind-bending challenge that really will improve peoples' lives in a meaningful way? Are you a finisher who can deliver robust, production-quality code that solves complex, real-world problems in ways that delight customers? If this describes you, come join our team at Lab126 in the heart of Silicon Valley. The team is using machine learning, robotics, and real-time and distributed systems to convert requirements into concrete deliverables. A Researcher on this team will translate business and functional requirements into working code. Comfort with a high degree of ambiguity and ability to solve problems that haven't been solved to scale before are essential. Key responsibilities will be to conduct research and development in machine learning, and to collaborate with cross-functional engineering teams to put the concepts you develop into production. You will determine where commercially available solution and academic research can be applied to solve Amazon business problems, as well as identify opportunities for innovation. You will use a large amount of data to train and test algorithms to bring them up to production level quality. In this role, you will:
Research, design, implement and evaluate planning and algorithms
Work on large-scale datasets, focusing on creating scalable and accurate machine learning systems in versatile application fields
Collaborate closely with team members on developing systems from prototyping to production level
Collaborate with teams spread all over the world
Work closely with software engineering teams to drive scalable, real-time implementations
Track general business activity and provide clear, compelling management reports on a regular basis
PhD in Computer Science, Electrical Engineering, or related field.
Experience in state-of-the-art machine learning technologies
3+ years of experience in implementing machine learning algorithms
1+ years of experience in Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
Proven track record of innovation in creating novel algorithms and advancing the state of the art
Experience investigating, designing, prototyping, and delivering new and innovative system solutions
Linux platform experience
Excellent written and verbal communication skills, ability to communicate effectively to both technical and nontechnical audiences
Lab126 is part of the Amazon.com, Inc. group of companies and is an Equal Opportunity-Affirmative Action Employer-Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation.
Machine Operator - Hardshell
Responsible for breaking-down, cleaning, tooling, running, and monitoring a Hardshell encapsulation machine such that all quality and/or customer specifications are achieved in an effective and efficient manner.The hours for this position are 3pm-1am.
Essential Duties and Responsibilities
Prepare encapsulation equipment for use, to include:
Following SOPs, clean all encapsulation equipment, tooling and rooms.
Get next scheduled product from operation specialist.
Gather all necessary paperwork to manufacture the next scheduled lot.
Verify product for use, to include:
Verify that the correct blend has been staged in the room.
Verify the correct capsules have been staged in the room.
Manufacture hardshell capsules, to include:
Follow the batch record instructions to manufacture the capsules
Document all processing steps in the batch record
Monitor and graph physical characteristics of capsules per SOP
Make adjustments as necessary to keep all parameters in specification
Inspect capsules during manufacturing for defects
Reconcile the final bulk product
Other duties as assigned.
Support training of new operators.
Overtime as required.
Knowledge and compliance of company policies and SOP's.
Knowledge and understanding of all of the cGMP's relating to this position.
Education and Experience
High school diploma or equivalent.
Must complete the operator certification program within 6 months.
Job Knowledge, Skills and Abilities
Good math and reading skills.
The ability to follow directions and work with minimal supervision.
Accuracy and attention to detail required.
Some mechanic ability helpful.
Must be able to lift and maneuver weights up to 20 kg.
Must be able to work in a dusty environment with a wide range of raw materials.
Personal Protective Equipment
As required by batch record and SOPs, which may include: Dust masks, gloves, goggles, and hearing protection
Screw Machine Operator
Screw Machine Operator
Mailroom - Machine Operator Part-Time
Packaging Machine Operator – Full Time
Gannett Publishing Services
York Newspapers is seeking a part-time night shift Machine
Operator to set-up operation of packaging equipment and preprints for daily
newspapers and other printed products to achieve and maintain on-time
production, product quality standards, low waste and operational safety.
- Set-up and operation of insert machines, conveyers,
insert hoppers, strapping machines, bottom-wrap machines, stackers and
other packaging equipment.
- Supervise our team of insert
feeders and operate the equipment while various jobs are processed.
- Maintain a clean and safe
work environment, including cleaning in and around equipment on a regular
- Maintain company quality and
performance standards. Observe and adhere to company safety regulations.
- Other related tasks are
assigned as required.
- Ability to work night shift
and flexibility in schedule to work weekends and holidays as required.
- Ability to stand for several
hours, lift/carry up to 35 lbs. and push/pull up to 600 lbs. with pallet
jack or carts.
- Basic computer knowledge, to
include Windows, Excel, Word, Outlook and web browser.
- Machine operator or
maintenance background a plus, but not required.
Assembly or manufacturing experience is a plus.
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