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Ai Engineer

San Francisco,CA

667 Ai Engineer jobs in San Francisco,CA

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AI-Native Founder’s Associate

Aonic

San Francisco, CA 94111

$140,000/yr
OnsiteUrgently Hiring

  • Degree from a top-tier university in engineering, science, math, business, or a related field.
  • Candidates with a business background must have taught themselves at least basic coding and demonstrate technical fluency.
  • AI-native mindset, with hands-on experience using AI tools, automation platforms, and low-code solutions to drive real outcomes.
  • Strong analytical and problem-solving ability, with comfort working across operations, growth, and finance.
  • Genuine interest in solving real-world business problems, including those involving physical operations such as production, supply chain, warehousing, delivery, and customer experience.
  • Extremely hungry and ambitious, actively seeking responsibility and steep growth.
  • 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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New, Posted 17 hours ago
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Sr. Technical Program Manager, Amazon Music Technology

Amazon.com Services LLC

San Francisco, CA 94199

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of technical product or program management experience
  • 3+ years of software development experience
  • 5+ years of technical program management working directly with software engineering teams experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules
  • Experience building and evaluating system-level technical design
  • Experience developing and executing/delivering product and technical roadmaps
  • Experience leading highly technical programs involving infrastructure, complex systems, systems engineering
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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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SEO Campaign Strategist

First Page Sage, LLC

Berkeley, CA 94705

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Rack & Stack Assembler

AMAX

Fremont, CA 94539

$18-$22/hr
~ 49 min OnsiteHealth InsuranceRetirement Benefit

  • High school diploma or equivalent required; technical certification or college coursework is a plus
  • Previous assembly experience in the electronics, computer hardware, or manufacturing industry preferred
  • Ability to read and understand assembly instructions, production orders and control documentation
  • Experience using hand tools and light power tools safely and effectively
  • Strong attention to detail with the ability to follow procedures and quality standards
  • Ability to multitask, prioritize work, and meet production deadlines
  • Effective verbal and written communication skills
  • Soldering experience is a plus but not required
  • Travel to client sites to perform maintenance, troubleshooting, and deployment services
  • Physical Requirements: Ability to stand, walk, sit, bend, squat, reach, and perform repetitive tasks for extended periods
  • Ability to lift, carry, push, and pull up to 40 pounds
  • Ability to work in a fast-paced manufacturing environment while maintaining safety and quality standards
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New, Posted 5 hours ago
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Manager, AI Engineer

KPMG

San Francisco, CA 94112

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
  • Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
  • Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
  • Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
  • Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
  • Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
  • Knowledge of AI security, data privacy, governance, and ethical AI frameworks
  • Strong problem-solving skills with the ability to translate complex technical concepts for executives
  • Excellent verbal and written communication skills, with experience creating client-facing deliverables
  • Willingness and ability to travel
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
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MGR II MANUFACTURING ENGINEERING

TE Connectivity

Redwood City, CA 94061

~ 33 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Engineering required
  • Minimum of 8-12 years of progressive manufacturing engineering experience
  • Minimum of 5 years leading engineering teams in a manufacturing environment
  • Demonstrated experience in manufacturing process development, process validation, automation, equipment design, and industrialization
  • Strong knowledge of Lean Manufacturing, Six Sigma, statistical analysis, and structured problem-solving methodologies
  • Proven experience leading capital projects, equipment implementation, and capacity expansion initiatives
  • Strong project management, prioritization, and resource planning skills
  • Excellent leadership, coaching, and cross-functional collaboration abilities
  • Strong analytical and data-driven decision-making skills
  • Six Sigma Green Belt required; Black Belt preferred
  • Experience with PFMEA, Control Plans, Process Validation, SPC, DOE, and process capability analysis
  • Excellent verbal and written communication skills in English
  • Must be eligible to work under ITAR (International Traffic in Arms Regulations) compliance
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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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Maritime Engineering SME

QinetiQ

Novato, CA 94947

~ 40 min Onsite

  • Bachelor's degree in Systems Engineering, Mechanical Engineering, Electrical Engineering, Naval Architecture, Marine Engineering, or a related technical discipline.
  • 9+ years of experience supporting U.S. Navy programs.
  • Extensive experience designing, developing and fielding Navy manned and unmanned surface and underwater systems.
  • Secret Clearance Required #qinetiqclearedjob
  • Demonstrated expertise in systems engineering principles and processes.
  • Experience with shipboard systems integration, modernization, or life-cycle sustainment.
  • Ability to interpret engineering drawings, technical specifications, interface control documents, and systems documentation.
  • Experience supporting engineering reviews, requirements analysis, and technical risk management.
  • Strong technical writing, presentation, and communication skills.
  • Ability to work effectively in multidisciplinary teams and customer-facing environments.
SmartExplore AI is experimental.
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New, Posted 5 hours ago
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Software Engineer

Mechanize

San Francisco, CA 94112

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