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Director Machine Learning Jobs in Copperopolis, CA

RN - Dialysis

Sonora, CA · On-site

$2K - $2K/wk

Provide direct dialysis nursing care to patients in the on-site unit. * Monitor patient vitals and ... Support career development through ongoing learning and professional growth. Experience ...

Perform, as directed, other duties consistent with the general areas of responsibility surrounding ... and machines. Ability to: • Quickly learn the schedules, procedures, and equipment used in ...

Instructor

Tuolumne, CA · On-site

$27 - $33/hr

... in learning different subject matter and/or skills that will contribute to their academic and ... Provide training in implementation of IPPs to Enrichment Assistants to ensure direct services to ...

... in learning different subject matter and/or skills that will contribute to their academic and ... Provide training in implementation of IPPs to Enrichment Assistants to ensure direct services to ...

... while learning from your peers and future direct reports. Working alongside your mentors, we'll ... PPE, machine guarding, and established best safety practice. • Regular, predictable, full ...

... while learning from your peers and future direct reports. Working alongside your mentors, we'll ... appropriate tools, PPE, machine guarding, and established best safety practice. Regular ...

... while learning from your peers and future direct reports. Working alongside your mentors, we'll ... PPE, machine guarding, and established best safety practice. • Regular, predictable, full ...

Demonstrated interest in continuous learning, mentoring, and leadership. * Mechanical or technical ... This role provides direct supervision to Counter Sales, Driver Warehouse, and other Sales Center ...

Director Machine Learning information

See Copperopolis, CA salary details

$37.3K

$95.2K

$146K

How much do director machine learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for director machine learning in Copperopolis, CA is $95,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $109,700.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to senior roles such as Director of Machine Learning or Chief AI Officer, which involve leading AI strategy, managing teams, and developing advanced models. These positions often require extensive experience, expertise in machine learning frameworks, and strong leadership skills, with compensation reflecting high-level responsibilities and industry demand.

Which 3 jobs will survive AI?

For a Director of Machine Learning, roles that require complex problem-solving, strategic oversight, and domain expertise are likely to persist, such as AI research scientists, data science managers, and AI ethics specialists. These positions involve high-level decision-making, creativity, and understanding of nuanced human contexts that are difficult for AI to fully replicate. Skills in leadership, critical thinking, and advanced technical knowledge will remain valuable in these roles.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML Engineer or Data Scientist, are generally among the higher-paying jobs in the tech industry due to the specialized skills required, such as programming, statistics, and experience with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and company size but tend to be significantly above average for many other roles in technology and data analysis.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

How much does an AI director make?

An AI director's salary typically ranges from $120,000 to $200,000 annually, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, deep learning, and leadership often command higher compensation, especially in tech hubs or large organizations.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What cities near Copperopolis, CA are hiring for Director Machine Learning jobs? Cities near Copperopolis, CA with the most Director Machine Learning job openings:
Infographic showing various Director Machine Learning job openings in Copperopolis, CA as of June 2026, with employment types broken down into 49% Full Time, 41% Part Time, 2% Temporary, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $95,162 per year, or $45.8 per hour.

CNC Prototype Machinist

Insight Manufacturing S

Murphys, CA

$72K - $87K/yr

Full-time

Posted 5 days ago


Job description

We are seeking an experienced CNC Prototype Machinist to join our machine shop team. Under general supervision, develops, writes, and edits programs that direct automated machine tools to cut and shape precision metal parts, tools, and products. Additionally, sets up and operates CNC and manual machining equipment to product prototype components and precision parts. Uses blueprints, CAD data, and engineering sketches to ensure all specifications, dimensions, and tolerances are met. Works closely with engineers and production staff to refine designs for manufacturability, accuracy, and efficiency in prototype and limited-run production environments.

Key Responsibilities

  • Analyze job orders, blueprints, CAD data, and engineering documentation to determine machining operations, sequences, and dimensions.
  • Write, test, and revise CNC programs to control machining or processing of metal or plastic parts.
  • Select and set up appropriate tooling, fixtures, and machining parameters such as cutting speeds, feed rates, and depths of cut.
  • Operate CNC and manual machine tools (vertical mills, horizontals, lathes, grinders, etc.) to fabricate prototype and production components.
  • Review and interpret blueprints, CAD models, and specifications to ensure compliance with dimensional and tolerance requirements.
  • Calculate dimensions and tolerances using precision instruments such as micrometers, calipers, and height gauges.
  • Inspect finished products to verify accuracy and quality using precision measuring tools and visual inspection techniques.
  • Perform setups, adjustments, and minor maintenance on machinery as needed to maintain accuracy and efficiency.
  • Simulate or test programs to ensure that machinery functions properly and meets engineering requirements.
  • Prepare setup sheets, documentation, and process notes for repeatability and training.
  • Collaborate closely with engineers, machinists, and production staff to optimize prototype manufacturability and machining processes.
  • Maintain knowledge of evolving CNC control systems, programming languages, and machining technology.
  • Train or provide technical guidance to machinist and operators as needed.

Qualifications

  • CNC programming (Proficiency with Fanuc/Haas controls)
  • CAD/CAM software proficiency (Proficiency in Fusion 360, or similar software)
  • Setup and operation of CNC and manual machine tools
  • Precision measurement and quality inspection
  • Blueprint reading, mechanical drafting, and GD&T interpretation
  • Knowledge of machining materials and processes (metals, plastics, composites) Must have basic understanding of office administration.
  • Strong organizational and time management skills
  • Critical thinking and problem-solving ability
  • Works independently with minimal supervision
  • Effective written and oral communication
  • Adaptable and able to multitask under changing priorities
  • Team-oriented, collaborative approach with engineers and peers
  • Continuous learning mindset with focus on innovation and accuracy
  • Associate’s degree or technical certificate in manufacturing technology, machine tool technology, or related field.
  • 5-7 years of combines CNC programming and machining experience, ideally in prototype or low-volume environments.
  • NIMS or equivalent credentials are desirable.
    • Industries: Aerospace, automotive, metal fabrication, precision tooling and prototyping sectors.

Physical & Environmental Conditions

  • Most functions are performed indoors.
  • Temperature variation reasonably controlled by heaters and fans.
  • Occasional exposure to moving mechanical parts.
  • Occasional risk of electrical shock and vibration.
  • Noise level is usually loud.
  • Safety glasses are provided and required when working in restricted areas.

Equipment

  • CNC mills, horizontals, lathes, and multi-axis machining centers
  • Manual mills, lathes, and grinders
  • CAD/CAM software and simulation tools (Fusion 360)
  • Precision measuring instruments (micrometers, calipers, gauges, CMM)
  • Hand tools, fixtures, vises, and inspection equipment
  • Computers and CNC control interfaces.

Compensation details: 72000-87360 Yearly Salary


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