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Machine Learning Engineer Biotech

Long Beach,CA

793 Machine Learning Engineer Biotech jobs in Long Beach,CA

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Senior Machine Learning Engineer, Applied Intelligence

Anduril Industries

Santa Ana, CA 92704

~ 30 min OnsiteHealth Insurance

  • 8+ years of experience in a software engineering role building production systems, ideally in a fast-paced environment.
  • Deep expertise in MLOps with end-to-end experience delivering production-grade AI/ML systems.
  • Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or edge infrastructure.
  • Deep experience with MLOps: data acquisition, labeling, curation, pipeline management, model versioning, continuous integration, and model monitoring.
  • Strong proficiency in Python and experience with deep learning frameworks (PyTorch, TensorFlow).
  • Experience building and deploying containerized ML services using Docker and Kubernetes.
  • Proficiency in data engineering, time-series data modeling, and working with semantic/ontology-driven data systems.
  • Experience implementing observability for model performance, inference accuracy, and data drift.
  • Familiarity with event-driven architectures, IoT/UNS patterns, and real-time systems integration.
  • Experience building systems that must operate reliably under real-world operational constraints (high availability, low latency, or constrained environments).
  • Strong stakeholder management skills with proven experience aligning engineering, data, and manufacturing teams.
  • Excellent written and verbal communication skills; able to bridge research, platform, and production domains and collaborate across engineering, manufacturing, and operations teams.
  • Degree in Computer Science, Information Systems, Engineering, or related technical field, or equivalent practical experience.
  • U.S. Person status is required as this position needs to access export controlled data.
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Manufacturing Engineer II

Howmet Aerospace

Fullerton, CA 92831

~ 33 min Onsite

  • Bachelor's degree in Engineering in Mechanical, Industrial, or Manufacturing Engineering (OR equivalent hands-on relevant experience will also be considered).
  • 3+ years of engineering experience.
  • Strong knowledge of CNC manufacturing and aerospace standards.
  • Experience with AS9100 and NADCAP standards.
  • Knowledge of GD&T;, fixturing and gaging methods.
  • Statistical process control experience in the aerospace industry.
  • Basic Computer Skills: Microsoft Office Suite products, and strong knowledge of Solidworks or other modeling software.
  • Experience in metal manufacturing, especially using titanium and/or nickel based superalloys.
  • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
  • Visa sponsorship is not available for this position.
  • This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items.
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Manufacturing Engineer

Votaw Precision Technologies, LLC

Santa Fe Springs, CA 90670

$95,000-$125,000/yr
~ 25 min Onsite

  • Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, or related field.
  • 3+ years of experience in a precision machining environment.
  • Experience supporting 3-axis, 4-axis, and 5-axis CNC machining.
  • Strong understanding of metallic materials and machining processes.
  • Experience writing detailed manufacturing work instructions and process documentation.
  • Proficiency reading and interpreting technical drawings and GD&T.;
  • Strong problem-solving and root cause analysis skills.
  • Experience with CAD/CAM software.
  • Familiarity with ERP/MRP systems.
  • Experience in aerospace, defense, medical, or other high-precision industries.
  • Knowledge of lean manufacturing principles.
  • This position requires the use of information or access to hardware subject to the International Traffic in Arms Regulations (ITAR).
  • All applicants must be U.S. persons as defined by ITAR.
  • Sitting for extended periods of time.
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, power tools, and to handle other computer components.
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Manufacturing Engineer II, Integrated Components

Relativity Space

Long Beach, CA 90805

Onsite

  • Bachelor's degree in engineering or related technical field and 2+ years of relevant experience in manufacturing engineering or a related role.
  • Strong foundational knowledge of propulsion systems, mechanics of materials, and thermal-fluid systems to investigate and resolve hardware defects
  • Ability to work with and train technicians in a hands-on hardware environment, writing work instructions, and process plans for complex assemblies, and drive implementation of improvement and corrective actions
  • Vendor management experience including selection, defect disposition, and quality management
  • Proficiency with additive/subtractive manufacturing, precision inspection, GD&T; (ASME Y14.5), and FEA using Ansys or similar tools
  • Experience with tooling design using Siemens NX or other CAD tools, including conceptualization, modeling, analysis, and fabrication
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Cyber System Security Engineer

ManTech

El Segundo, CA 90245

New, Posted 1 day ago
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Manufacturing Engineer II

Howmet Aerospace

Carson, CA 90745

~ 13 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in an engineering discipline
  • Minimum of 3 years of experience in manufacturing in an engineering function
  • Employee must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
  • This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items.
SmartExplore AI is experimental.
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New, Posted 19 hours ago
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Senior Software Engineer (Hybrid)

Energy Solutions

Orange, CA 92868

$140,000-$175,000/yr
New, Posted 14 hours ago
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Senior Associate, Manufacturing Engineer

L3 Harris

Los Angeles, CA 90011

~ 30 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree
  • A minimum of 2 years of prior related experience
  • Graduate Degree or equivalent with 0 to 2 years of prior related experience
  • In lieu of a degree, minimum of 6 years of prior related experience
  • Ability to obtain US Secret Security Clearance
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Staff Manufacturing Engineer, Manufacturing Automation

Anduril Industries

Costa Mesa, CA 92627

~ 29 min OnsiteHealth Insurance

  • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or related field
  • 12+ years of experience in manufacturing or process engineering, with a focus on automation
  • Experience with CAD/CAM software, preferably NX or similar
  • Strong DFM/DFA knowledge and experience applying it to automated production
  • Familiarity with automated manufacturing technologies (robotics, CNC machining, additive manufacturing, automated inspection)
  • Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment
  • Strong communication and teamwork skills
  • Track record of leading end-to-end automated process development across multiple production lines
  • Experience integrating automation, robotics, or advanced metrology (e.g., CMM, optical scanning) into manufacturing workflows
  • Experience defining process and DFM/DFA standards and mentoring engineers
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities
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Manufacturing Engineer, Production

Hadrian

Los Angeles, CA 90011

~ 30 min OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Engineering or another related STEM field
  • 4-6 years of engineering experience in a production environment
  • In lieu of a degree, at least 5-6+ years of experience in a high-intensity production environment may be considered
  • Familiarity with machining operations and experience working with very tight tolerances, especially in aerospace manufacturing
  • Comprehensive knowledge of GD&T
  • Familiarity with NPI frameworks (PPAP, FAI, or equivalent)
  • Proven ability to work collaboratively with cross-functional teams
SmartExplore AI is experimental.
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