TetraMem Logo

TetraMem

Mid-Level Machine Learning Engineer

Reposted 26 Days Ago
In-Office
San Jose, CA, USA
110K-200K Annually
Senior level
In-Office
San Jose, CA, USA
110K-200K Annually
Senior level
Develop and deploy lightweight machine learning models for edge AI, working on hardware integration and optimization techniques while mentoring junior engineers.
The summary above was generated by AI

Responsibilities:

  • Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
  • Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
  • Work closely with hardware and software teams to integrate ML models into production systems.
  • Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
  • Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
  • Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
  • Provide technical leadership and mentorship to junior engineers.
  • Publish research findings, present at conferences, and contribute to open-source projects when applicable.



Requirements:

  • 5+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields.
  • Strong experience in machine learning, with a focus on edge AI and lightweight model deployment.
  • Expertise in ML frameworks such as PyTorch, TensorFlow, JAX.
  • Proficiency in programming languages such as C/C++, Python, and experience with ML model optimization.
  • Ability to work independently and collaboratively in a fast-paced startup environment.
  • Ability to provide mentorship, technical guidance, and career development support to junior engineers and interns.



Experience in one or more of the following areas considered a strong plus:

  • Understanding of ML compiler and runtime design.
  • Experience working with tools such as Optimum, ONNX, TensorRT, TFLite/LiteRT, ncnn, or CoreML.
  • Familiarity with hardware acceleration techniques.
  • Experience in embedded system development.

Salary Range: $110,000 - $200,000 / year

TetraMem celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to be an Equal Opportunity Employer and welcome applicants from all backgrounds. Qualified candidates will receive consideration for employment without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, marital status, medical condition, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state, or local law.

TetraMem is committed to providing reasonable accommodations to qualified applicants with disabilities throughout the recruitment process. Applicants requiring accommodation may contact Human Resources for assistance.

To ensure a fair, consistent, and efficient hiring process, all candidates must apply through TetraMem’s official ClearCompany Applicant Tracking System (ATS). Applications submitted through the ATS allow our hiring team to evaluate candidates using a standardized process and ensure timely communication throughout the recruitment process. To promote equal consideration for all applicants, applications submitted outside of the ClearCompany ATS, including direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or considered.

We encourage all interested candidates to apply through the official TetraMem Careers page.

HQ

TetraMem Newark, California, USA Office

Newark, CA, United States

Similar Jobs

One Month Ago
In-Office
160K-210K Annually
Senior level
160K-210K Annually
Senior level
Aerospace
Design, prototype, and implement deep learning models for computer vision and SAR geospatial exploitation. Pre-process SAR data, create physics simulations, develop objective functions, assess performance, and deliver production-quality Python code for defense customers.
Top Skills: CC++Deep LearningGeospatial ExploitationMatlabNeural NetworksObject DetectionPhysics SimulationPythonSar Signal ProcessingSignal ProcessingSynthetic Aperture Radar
One Month Ago
In-Office
160K-210K Annually
Senior level
160K-210K Annually
Senior level
Aerospace
Design, prototype, and implement deep learning models for computer vision and SAR geospatial exploitation. Develop signal preprocessing, physics simulations, objective functions, and production-quality Python code. Present findings and support transition to operational systems for government customers.
Top Skills: C/C++Computer VisionDeep LearningDeep Neural NetworksGeospatial ExploitationMatlabPythonSynthetic Aperture Radar (Sar)
52 Minutes Ago
Remote or Hybrid
United States
100K-160K Annually
Senior level
100K-160K Annually
Senior level
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads the HR technology strategy, roadmap, and HRIS team. Oversees UKG Pro, workforce management, benefits administration, system integrations, HR data infrastructure, security, governance, and reporting. Partners with IT, Data, Finance, Recruiting, Compensation, and People Operations on implementations, acquisitions, and technology initiatives. Establishes scalable processes and documentation while developing HRIS professionals and external partners.
Top Skills: Benefits AdministrationHr System IntegrationsHrisUkg ProWorkforce Management (Wfm)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account