1512 Machine Learning Engineer jobs in California

Your Amazon package will include sign-on payments and restricted stock units (RSUs).

USA, CA, Cupertino - 176,600.00 - 247,300.00 USD annually

USA, TX, Austin - 153,600.00 - 215,000.00 USD annually

Host annual and ongoing learning experiences

We're building an environment that celebrates knowledge sharing and mentorship

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

We offer flexibility in working hours

Bachelor's degree in Electrical Engineering or a related field

Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills

Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing

The ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem-solving skills.

Experience with high-performance and power-efficient designs is highly desirable.

Have familiarity with key components such as interconnects, DMAs, Memory sub-systems, accelerator engines, debug and system level architectures

Master's degree in Electrical or Communications Engineering or a related field

Experience with formal verification techniques including abstraction and end-to-end checking

Experience with ARM and various DSP ISAs

Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards

Experience with industry standard tools and scripting languages (Python or Perl) for automation

$80-$90/hr

Comprehensive benefits

M-F

Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Computer Science, Robotics, or a related technical discipline.

Minimum 5 years of hands-on experience developing machine vision applications within industrial manufacturing environments.

Expert-level experience programming Keyence XG-X Vision Systems and developing applications using Cognex VisionPro and Cognex In-Sight Explorer.

Strong understanding of machine vision fundamentals, including optics, cameras, image processing, field of view, depth of field, lighting techniques, and metrology.

Experience integrating machine vision systems with industrial PLC platforms such as Allen-Bradley/Rockwell, Siemens, or Beckhoff, utilizing industrial communication protocols including EtherNet/IP and TCP/IP.

Pay and promotions vary based on education level and qualifications.

Hiring bonus opportunities available.

Specialty bonuses available depending on qualifications and position.

Attend paid Army training to gain skills and certifications in engineering fundamentals, construction methods, project planning, surveying, drafting, infrastructure maintenance, and field operations.

Comprehensive healthcare, vision, and dental plans.

30 days paid vacation.

90 days paid paternity and maternity paid time off.

Wellness programs including fitness facility access, nutrition consulting, curated fitness plans.

Housing, clothing, and relocation allowance.

Tuition assistance.

Student loan repayment.

Flexible retirement and pension plans.

Upon successful completion of your first-term contract, you are guaranteed up to 5 interviews with your choice of over 1,200 industry-leading organizations including Tesla, Booz Allen Hamilton, and Raytheon.

Part-Time

Part-time

Certifications in engineering fundamentals, construction methods, project planning, surveying, drafting, infrastructure maintenance, and field operations

Advanced certifications available with additional fully funded Army programs.