Assembly Machine Code Converter Jobs in Usa

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• Assemble, bond, and finish composite parts and subassemblies
  
• Perform secondary bonding, hardware installation, drilling, trimming, and sanding
  
• Prepare bonding surfaces and mix/apply structural adhesives per specifications
  
• Align, fit, and inspect parts to meet dimensional and tolerance requirements
  
• Follow assembly drawings, travelers, and work instructions
  
• Complete required manufacturing and quality documentation
  
• Support rework, repair, and continuous improvement activities
  
• Adhere to safety, environmental, and quality system requirements
  

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• Provide daily direction and task assignments to composite assembly personnel
  
• Serve as the primary technical resource for troubleshooting bonding and assembly issues
  
• Train and mentor technicians on proper techniques, safety practices, and quality standards
  
• Monitor workflow to ensure schedule adherence and efficiency
  
• Coordinate with production supervisors, engineering, and quality to resolve issues
  
• Promote a safe, organized, and compliant work environment
  
• Provide input on performance feedback and serve as acting supervisor when required
  

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• Ability to read and interpret engineering and assembly drawings
  
• Familiarity with hand tools, measuring equipment, and bonding tools
  
• Understanding of adhesive bonding and surface preparation techniques preferred
  
• Strong mechanical aptitude and attention to detail
  
• Ability to work safely with chemicals and adhesives
  
• Effective communication and leadership skills
  
• Strong organizational and problem-solving abilities
  

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• High school diploma or equivalent required
  
• Prior experience in composite assembly, aerospace manufacturing, or mechanical assembly preferred
  
• On-the-job training may be provided for entry-level candidates
  

Machine Vision / Controls Engineer

Do you enjoy:

• Working on new automation challenges every few months
• Performing vision feasibility testing and proving out inspection methods
• Researching and implementing new automation technologies
• Managing your work with a high level of autonomy
• A blend of desk work (~70%), shop work (~20%), and field work (~10%)
• Working in a small engineering-driven company where your work has visible impact

Job Description:

We are looking for a Machine Vision / Controls Engineer to join our fast-paced automation engineering firm. This role focuses on developing machine vision inspection systems while also supporting controls development and feasibility testing for custom automation equipment.

You will perform vision feasibility studies, camera/lens/lighting selection, and vision programming, primarily using Keyence Machine Vision systems. In addition, you will support PLC programming, system integration, and automation debugging on our custom machines.

This position works closely with mechanical, electrical, and controls engineers to integrate machine vision, robotics, motion control, and PLC systems into complete automation solutions.

Engineered Vision is dedicated to improving how factory automation projects are implemented through transparency, quality, and speed.

Duties:

• Perform machine vision feasibility testing in our lab to validate inspection concepts and system performance
• Size and select cameras, lenses, and lighting for vision inspection applications
• Develop and program machine vision systems (primarily Keyence)
• Integrate vision systems with robots, PLCs, and motion control systems
• Program and support PLC controls systems (primarily Allen Bradley ladder logic)
• Assist with controls debugging and automation system integration
• Support machine builds, testing, and troubleshooting in the shop
• Assist with system commissioning and startup at customer facilities
• Create and maintain vision documentation, feasibility reports, and technical documentation
• Collaborate with mechanical and electrical engineers to optimize inspection and automation performance
• Deploy systems at customer facilities and perform service work
• Travel up to 15% (mostly within 250 miles of Columbus, Ohio)

Required Qualifications:

• US Citizenship Required (we work on Government Projects – Green Card will not be acceptable)
• Must live in the Columbus, Ohio area
• Bachelor of Science in Electrical Engineering, Computer Engineering, Mechanical Engineering, Mechatronics, or related field
• Experience performing machine vision feasibility testing and inspection development
• 2+ years experience working in industrial automation including: selecting vision cameras/lenses/lights, feasibility testing, and vision programing
• Ability to troubleshoot and optimize automation systems in real-world manufacturing environments
• Strong documentation and communication skills

Preferred Qualifications:

• 5+ years experience working in industrial automation selecting vision cameras, lenses, and lighting
• 2+ years experience with machine vision programming of Keyence Machine Vision Cameras
• 2+ years experience working with a custom machine builder as a controls engineer
• Experience integrating vision with robots and PLC systems
• Experience with industrial lighting design and lens selection
• Customer run-off and field troubleshooting experience
• Ability to troubleshoot and optimize automation systems in real-world manufacturing environments

About Us:

Engineered Vision is a small custom machine builder focused on newer technologies including robots, machine vision, and motion control. We opened our doors to deliver affordable automation fast, with typical project sizes ranging from $100k–$2MM.

Engineered Vision is one of the fastest growing custom machine design and engineering firms in Columbus, Ohio. We integrate our machines across industry boundaries and pair the latest technologies with real industry needs to deliver strong ROI.

We consider our shop an engineer’s playground with robots, machine vision systems, CNC machining, and 3D printing.

We look forward to working with you.

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Referral program
• Vision insurance

Schedule: Full-Time

Work Location: In person

Role: Assembly Integration and Test Engineer

Pay: $90,000.00 - $110,000.00 per year

Job description:

Location: Boulder, Colorado

Employment Type: Full-time

Salary Range: From $90,000 to $110,000 depending on experience

About ThinkOrbital:

ThinkOrbital is developing breakthrough technologies to defend, service, and build in space. From pioneering autonomous welding in orbit to long-range X-ray imaging systems for space domain awareness and infrastructure inspection, we are redefining what’s possible in the final frontier. Our team is made up of driven engineers, scientists, and operators who thrive in a fast-paced, mission-focused environment.

Position Summary:

We’re looking for an Assembly Integration and Test Engineer to join our team, support all assembly integration and test activities across all our programs and products. This is a hands-on role that will involve close collaboration with a cross-disciplinary team etc.

Key Responsibilities:

· Perform hands-on assembly, integration, and testing of aerospace components, subsystems, and full systems

· Develop and execute test procedures, plans, and documentation to ensure compliance with technical and quality standards.

· Collaborate with cross-functional teams including design, systems engineering, and quality to resolve integration or test anomalies.

· Support environmental testing (vibration, thermal vacuum, EMI/EMC, etc.) and data analysis to validate system performance.

· Ensure accurate configuration control and documentation of hardware and test setups throughout the program lifecycle.

· Assist in troubleshooting issues and implementing corrective actions during assembly or testing phases.

· Interface with suppliers or test facilities as needed to support test activities or deliverables.

· Adhere to safety protocols and industry standards in a cleanroom, high-reliability environment, and radiation environment (X-Ray)

Mandatory Qualifications:

· Bachelor’s degree in Aerospace, Mechanical, Electrical Engineering, or a related field.

· Minimum of 3 years of experience in aerospace assembly, integration, or test.

· Strong understanding of aerospace hardware handling, contamination control, and verification processes.

· Excellent communication and documentation skills.

· Ability to work hands-on in a fast-paced, team-oriented environment.

· Self-starter with a strong sense of ownership; able to take initiative, work independently, and tackle unfamiliar or ambiguous technical challenges with minimal guidance

Certifications/Trainings:

· IPC J STD 001G, Requirements for Soldered Electrical and Electronic Assemblies

· IPC A 600, Acceptability of Printed Boards

· NASA STD 8739.1, Workmanship Standard for Polymeric Application of Electrical Assemblies

· NASA STD 8739.4, Workmanship Standard for Crimping, Interconnecting Cables, Harnesses, and Wiring

· ANSI/ESD S20.20, Electrostatic Discharge (ESD) Control

· Radiation Safety Training (X-Ray Cabinets)

What We Offer:

Competitive benefits and stock options

Health, Vision and Dental Insurance

Opportunity to shape next-generation space systems

A small, fast-moving team where your impact is tangible

Flexible Schedule

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

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply!

We're looking for a Machine Operator to combine raw materials to produce finished products in our mulch and soil manufacturing facility.

What youll do in this role:

• Operate a computer controlled production system for multiple raw material ingredients that are processed in a mix room.
• Solve daily operations problems with limited supervision.
• Actively maintain good housekeeping standards in their assigned area
• Complete daily job checklists & equipment checks/calibrations to maintain quality.
• Maintain accurate records of raw materials, samples & equipment operations.
• Operate a forklift to transport materials.
• Set up machines at the beginning of shift to ensure proper working order.
• Perform testing procedures to ensure that machines work optimally during the production procedures.
• Maintain and clean machines before and after each shift.
• Feed information akin to speed, shapes and sizes through the machine set up box.
• Place parts in semi-automated machines.
• Calibrate machines at the beginning of each shift.
• Recalibrate machines at the end of each shift.
• Monitor machines during every procedure to ensure optimum running.
• Troubleshoot problems during machine operation.
• Ensure that regular and preventative maintenance procedures are carried out.
• Perform random tests to ensure accuracy.
• Perform safety checks on every machine.
• Ensure that machines are producing quality products by managing periodic checks on output.
• Ensure stocks of needed materials are ready and available at all times.

What youll need to be successful:

• High School diploma or equivalent.
• A minimum of one plus years of production plant experience is preferred.
• Able to identify all materials used, detail oriented, follow safe practices and procedures, ability to read English and or follow directions.
• Able to work in a dusty environment, hot/cold/ rainy weather, lift 50 pounds, and be able to climb ladders and work on their feet for the entire day.
• Willingness to work mandatory overtime including weekends and holidays.

What we do for you (just to name a few cool ones):

• Medical, dental, vision, life insurance, holidays, vacation and sick time benefits available within a month of your start date
• Healthcare navigation, advocacy and support
• 401(k) company match up to 7.5% with immediate participation and vesting
• Ability to purchase company stock at a 15% discounted price from market value
• $600 annual wellness reimbursement program
• Up to $30,000 to help cover the cost of fertility treatments, adoption or surrogacy
• Up to 18 weeks of time away to support your growing family
• To view all of our great benefits, click here!

* Eligibility for the above benefits may vary based on full-time/part-time status or additional factors.

Not interested in this role? Stay up to date on future opportunities by joining our ScottsMiracle-Gro and Hawthorne Gardening talent communities.

Scotts is an EEO Employer, dedicated to a culturally diverse, drug free workplace.

EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity

Notification to Agencies:

Please note that the Scotts Miracle-Gro company does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Master Service Agreement, and specific approval to submit resumes to an approved requisition, the Scotts Miracle-Gro company will not consider or approve payment regarding recruiter fees or referral compensations.

Salary

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Location: Sherman, TX

Schedule: Nights 7:00PM-7:30AM (12-hr rotating shift)

Compensation: $23.00/hr. + $1.35 (shift premium for night shift)

Altium Packaging is one of the largest plastic container companies and suppliers of rigid plastic packaging. We specialize in customized mid- and short-run packaging solutions and serve a diverse customer base in the pharmaceutical, dairy, household chemicals, food/nutraceuticals, industrial/specialty chemicals, water, and beverage/juice segments.

We are currently seeking an experienced Blow Mold Machine Operator in Sherman, TX. As a Machine Operator, you will operate blow mold, grinder and trimmer machines, as well as the conveyor system. You will also troubleshoot process problems and perform minor maintenance to ensure continued operation of the production line. Being a team player will be essential since all tasks require close collaboration with co-workers. Your goal is to ensure that procedures are carried out smoothly to maximize both efficiency and profits.

RESPONSIBILITIES:

• Ensure compliance with corporate and plant safety standards and with applicable laws and regulations issued by regulatory agencies.
• Set up machines (calibration, cleaning, etc.) to start a production cycle
• Control and adjust machine settings (e.g., speed)
• Operate blow-mold machines (including wheels, reciprocator or shuttle machines)
• Perform audits, weights and quality checks
• Check output to spot any machine-related mistakes or flaws
• Keep records of approved and defective units or final products
• Enter data into SPC database for quality control measures
• Troubleshoot, preventative maintenance, minor repair on blow mold & support equipment
• Repair or replace pneumatic and hydraulic lines
• Maintain activity logs

REQUIREMENTS:

• High school diploma or equivalent
• 2+ years’ experience as a machine operator
• 2+ years’ blow mold machine operation preferred
• Working knowledge of diverse high-speed machinery and measurement tools (caliper, micrometer etc.)
• Strong mechanical aptitude and analytical skills are required
• Machine maintenance experience
• Ability to read blueprints, schematics and manuals
• Ability to work overtime
• Physical stamina and strength/able to stand for long periods of time

TRAINING:

• Completion of Altium Machine Operator 1 training within 90-days of hire date

BENEFITS:

• Competitive Hourly Rate
• Medical, Dental & Vision
• Holiday/Vacation Pay
• 401K with Company Contribution
• Tuition Reimbursement
• Learning & Training Opportunities
• Bonus Opportunities

We incorporate our Guiding Principles into all aspects and at all levels of the organization and use them as a framework for decision-making. We believe our Guiding Principles foster a culture of excellence that benefits both employees and customers.

Our Guiding Principles:

• Act with Integrity & in Compliance
• Drive Value Creation
• Be Disciplined Entrepreneurs
• Focus on the Customer
• Act with Humility
• Treat Others with Dignity and Respect
• Seek Fulfillment in Your Work

EEO STATEMENT:

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities who are otherwise qualified to safely perform the essential functions of the job, unless such accommodation imposes an undue hardship on the Company. While performing the duties of this job, the employee is regularly required to stand; walk; use hands to finger, handle, or feel; and reach with hands and arms. The employee is occasionally required to climb or balance and stoop, kneel, crouch, or crawl. The employee is frequently required to lift and/or move up to 50 pounds.

WORK ENVIRONMENT:

While performing the duties of this job, the employee is regularly exposed to moving mechanical parts in a production environment. The noise level in the work environment is usually loud. Temperatures inside the plant can fluctuate between hot and cold according to seasonal changes. Personal protective equipment (PPE) is required in the production department and other designated areas.

For more information on Altium Packaging, please visit our website at