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Machine Learning Engineer Matlab

San Francisco,CA

481 Machine Learning Engineer Matlab jobs in San Francisco,CA

New, Posted 18 hours ago
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06 - Machinist 2

Celestica

Fremont, CA 94536

~ 49 min Onsite

  • Seven to ten years of relevant experience
  • High school diploma and additional courses after high school, or an equivalent combination of education and experience and a commitment towards further / additional education
  • Must possess specific certifications as defined by site operations
  • In-depth knowledge and understanding of machine operations
  • In-depth knowledge of product quality issues
  • In depth knowledge of GDT
  • In depth knowledge of programs , macros ,cam software
  • Ability to recognize errors in the g code and make edits prior to machining
  • Ability to set up, operate, calibrate and maintain machines and tools
  • Ability to recognize and address problems in the production process
  • Ability to communicate effectively with a wide variety of internal and external customers
  • Ability to work effectively with team members and lead the team to high quality production within tight deadlines
  • Duties of this position are performed in a manufacturing environment with occasional to frequent exposure to elements such as noise, dust, chemicals, operating machinery, temperature extremes, etc.
  • Duties of the position require periodic light physical effort and exertion including prolonged repetitive motions requiring manual dexterity and precise hand/eye co-ordination, sitting and or standing in confined workspaces, using tools and equipment, and moving and handling materials.
  • Duties may require periodic heavy manual effort including lifting objects over.
  • Duties require extended periods of sustained visual concentration on detailed documentation and product assemblies.
  • Above demands are carried out within the local existing Health and Safety guidelines.
  • This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job.
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Founding Full Stack Engineer

Aonic

San Francisco, CA 94111

Onsite

  • Shipped a consumer product
  • Proven full-stack ability in production. Native in TypeScript/React, node/python + track record of shipping fast and reliable code with AI tools
  • Degree from a top-tier university in engineering, science, math, or a related field, or the equivalent in shipped work
  • Extremely hungry and ambitious
  • Strong work ethic and intensity, comfortable operating in an environment that works 8–7 on Monday to Thursday and 8-5 on Fridays
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Senior Mechanical Engineer (Manufacturing Engineering)

Velo3D

Fremont, CA 94536

$145,000-$170,000/yr
Health InsuranceRetirement Benefit

  • Bachelor's degree from an accredited university in mechanical engineering or a related field or higher
  • 8+ years of experience in Mechanical Systems Design and Development
  • 5+ years of CAD experience (Solidworks prefered) Solidworks PDM, Solidworks Electrical
  • 8+ years' experience designing manufacturing systems for semiconductor, machining, automation, materials processing, or other related industrial capital equipment applications (Additive Manufacturing, Semiconductor, Solar, Robotics, CNC, or Biomedical Manufacturing Equipment Design Engineering experience)
  • Experience in GD&T; and quality detail drawing documentation.
  • Thermal Analysis, FEA, CFD, and simulation software.
  • Systems level thinker with experience working on complex mechanical systems
  • Willing and able to work "Hands-on" to build, integrate and test newly developed systems and/or subsystems
  • Self-driven and independent thinking. Ability to work independently.
  • Strong desire to work for a company on disruptive technologies and make it a success.
  • Strong written and oral communication skills.
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New, Posted just now
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Senior Mechanical Engineer

QinetiQ

Novato, CA 94947

~ 40 min Onsite

  • Bachelor's degree in mechanical engineering or a similar engineering discipline
  • 5-12 years' experience in mechanical design in all aspects of a product lifecycle
  • Experience in all phases of design/development (concept to production)
  • Experience in processing Engineering Changes to documentation on DOD programs
  • Must have experience with metal fabrication design, electromechanical hardware design, and have an understanding of manufacturing techniques
  • Experience creating and working with formal design/development processes with an emphasis on transitioning projects from prototype development to production
  • Must be proficient using 3-D Solid Modeling software (PTC CREO and/or Solidworks)
  • Knowledge of design techniques, tools, and principals involved in production of precision technical plans, drawings, and models
  • Must have experience with creation of detailed drawing and geometric tolerancing (ASME Y14.5)
  • Direct technical lead experience managing design tasks
  • Must demonstrate excellent verbal and non-verbal communication skills
  • Must have experience with MS Word, Excel, PowerPoint
  • Must be able to obtain a DOD Security Clearance
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Staff Additive Manufacturing Engineer

Velo3D

Fremont, CA 94536

$165,000-$188,000/yr
~ 49 min OnsiteHealth InsuranceRetirement Benefit

  • U.S. Citizenship required due to the nature of government contract work and associated security requirements.
  • 12+ years of hands-on experience in metal additive manufacturing, advanced manufacturing, production engineering, or related technical fields.
  • Bachelor's or Master's degree in Mechanical Engineering, Manufacturing Engineering, Materials Science, or a related technical discipline.
  • Deep technical expertise in metal additive manufacturing processes, including production-scale powder bed fusion and downstream manufacturing operations.
  • Strong understanding of GD&T;, dimensional inspection methods, scan-based metrology, and translating measurement data into process improvements and compensation strategies.
  • Demonstrated experience leading complex continuous improvement initiatives in a production environment, including problem definition, experimentation, data analysis, implementation, and standardization.
  • Proven ability to solve complex manufacturing challenges through engineering analysis, experimentation, and cross-functional collaboration.
  • Experience developing and scaling manufacturing processes for high-value, low-volume, or mission-critical hardware.
  • Ability to operate effectively on the manufacturing floor while also influencing long-term technical strategy and operational improvements.
  • Excellent communication, leadership, and collaboration skills with the ability to align engineering, operations, quality, program management, and executive leadership.
  • Experience supporting aerospace, defense, space, or other highly regulated industries is preferred.
  • Experience with government contract environments, export-controlled hardware, or regulated manufacturing standards is preferred.
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New, Posted 1 day ago
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Material Handler-Fork lift Operator

Goodwill of the San Francisco Bay

South San Francisco, CA 94080

~ 21 min OnsiteHealth InsuranceRetirement Benefit

  • Less than 1 year of related experience
  • Read and write English proficiently
  • Basic mathematical skills
  • Able to lift up to 50 lbs.
  • Able to stand on hard surfaces for an extended period of time
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New, Posted 8 hours ago
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Founding Full Stack Engineer

Aonic

San Francisco, CA 94111

New, Posted 1 hour ago
Floating Maintenance Technician II

Sares-Regis Group

San Francisco, CA 94140

$29-$31/hr
New, Posted 1 day ago
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 49 min

  • The Candidate will have a minimum of 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques.
  • A Bachelor's degree in Data Science, Engineering, Science, Computer Science or Mathematics is required
  • Strong knowledge of statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation.
  • Programming skills in Python and experience with common data-science and machine-learning libraries.
  • Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems.
  • Experience with SQL and modern data-processing or data-platform technologies.
  • Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
  • Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.
  • Experience working with structured, time-series, sensor, or high-volume manufacturing data.
  • Exposure to wafer fabrication, photonics, and telecommunications is a plus.
  • Ability to work collaboratively with domain experts and explain complex analytical results in practical engineering terms.
  • Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.
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Quality Inspector

Morgan Advanced Materials

Hayward, CA 94544

~ 40 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • High school diploma or equivalent
  • Experience in a quality inspection role within a manufacturing environment
  • Strong understanding of blueprint and drawing interpretation, including GD&T; and ANSI Y14.5 standards
  • Hands-on experience with inspection equipment and precision measuring tools
  • Ability to create and manage inspection programs using Vertex equipment
  • Good communication skills and a collaborative approach to problem-solving
  • Ability to work with limited supervision while supporting a team environment
  • Comfortable lifting up to 35 pounds as part of normal job duties
  • Ability to meet pre-employment screening requirements
  • Eligibility to work in the United States in accordance with applicable regulations
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