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Staff Machine Learning Engineer

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Job Description - Staff Machine Learning Engineer

Unlock New Career Opportunities with SA Technologies Inc.

We’re Hiring: Staff Machine Learning Engineer

At SA Technologies Inc., we believe in turning career aspirations into reality. As a CMMI Level 5 and Great Place to Work® Certified global IT consulting and services company—and recognized as one of the Best Places for Women—we are committed to building an inclusive, supportive, and high -performance workplace



 

Job Description

 

Job Title: Staff Machine Learning Engineer
Location: - San Jose, CA
Full Time role
Direct Client:
100% Onsite role
 
Position
Description
 
Role
Description
 

Job Description

This is a "full -stack" ML systems role for a senior individual
contributor and technical architect. You will be responsible for designing the
complete ML ecosystem for our edge devices, from the cloud -native MLOps
platform down to the bare -metal model optimization. 

This unique role blends three key domains: 

  1. MLOps & Data: You will architect the
    entire data lifecycle, including our CI/CD pipelines, data -labeling loops,
    and on -device monitoring. 

  1. Agentic & Edge AI: You will lead the
    design of autonomous agents that run on our edge devices, using domain
    knowledge in log analysis and computer vision. 

  1. Systems & Hardware: You will be the
    "hardware -aware" expert, bridging our ML software with our
    silicon team to ensure our models are hyper -optimized for our
    custom NPU. 

You are the engineer who will not only build our ML platform but also
design the intelligent agents it deploys and ensure they run faster and more
securely than anyone else's. 

Key Responsibilities 

Architecture & Leadership: 

  • Act as a senior individual contributor,
    leading by example with hands -on coding, design, and analysis across the
    entire ML stack. 

  • Define the end -to -end architecture for our
    MLOps, agentic AI, and model optimization strategy. 

MLOps & Data Platform: 

  • Design and implement our data processing and
    versioning pipelines, ensuring data integrity and traceability. 

  • Build the infrastructure for
    our Human -in -the -Loop (HITL) and AI -in -the -Loop (Active Learning) data
    labeling systems to continuously improve our datasets. 

  • Develop a comprehensive, lightweight on -device
    monitoring system to track not just operational metrics but also inference
    quality and concept drift. 

Agentic & Edge Development: 

  • Design and development of autonomous
    agents that operate on our resource -constrained edge devices. 

  • Integrate deep domain knowledge, including
    real -time log analysis, computer vision, and interaction with open -source
    system tools. 

Security & Optimization: 

  • Define and implement the complete security and
    verification framework for our edge models. This includes MCP/A2A -like
    secure protocols, MCP authentication, entity verification (e.g., model
    signing), and model injection prevention. 

  • Serve as the primary technical bridge to our
    silicon teams. Collaborate with RTL designers to influence
    future NPU and FPGA architecture from an ML software perspective. 

  • Lead R&D on model optimization for our
    specific AI inference engine, applying both graph -level (e.g., operator
    fusion) and OP -level (e.g., custom ops) techniques. 

Qualifications

  • 8 -10+ years of hands -on experience in machine
    learning, with a proven track record as a senior or staff -level individual
    contributor. 

  • Ph.D. or M.S. in Computer Science, Electrical
    Engineering, or a related field (or equivalent practical
    experience). 

  • Expert -level programming in Python and deep
    experience with ML frameworks (e.g., PyTorch, TensorFlow). 

  • Deep theoretical understanding of modern ML
    algorithms (e.g., Transformers). 

  • A strong foundational understanding of
    computer architecture, digital logic, and the role of RTL
    (Verilog/VHDL) in the hardware design lifecycle. 

  • Proven experience architecting and building
    end -to -end MLOps lifecycles, from data ingestion to production monitoring
    and labeling loops. 

  • Proven experience developing agentic
    systems or applications using LLMs. 

  • Demonstrable domain knowledge in log
    analysis AND/OR computer vision. 

  • Experience with on -device model
    security (verification, anti -injection) and secure communication
    protocols. 

  • Hands -on experience optimizing models for
    hardware (NPUs, GPUs) at graph and operator levels. 

 
Why SA Technologies Inc.?
 
Empowering Work Environment: A Great Place to Work, especially celebrated as one of the Best Places for Women.
Excellence and Quality: A CMMI Level 5 Company, ensuring operational and service excellence.
Globally Acclaimed: A Microsoft Gold Partner and Google Partner, with over 20 years of global IT consulting and Development solutions delivery.
 
Have queries? We’re here to assist you! Chat live with our recruiter or connect with the job owner directly:
Email:  [email protected]


Embark on a rewarding journey together with us! At SA Technologies Inc., your journey begins with a friendly technical assessment, providing a stage to highlight your unique skills.



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About the Company

Dba Technologies, Llc

Seurat Technologies is an advanced metal contract manufacturer that provides serial production of high-volume, industrial-scale parts using its proprietary Area Printing® technology. Seurat is American-born and built, and ready to help you reimagine what is possible at scale.

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