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Machine Learning Engineer

Technology
Haystack
2 months ago
Full timeOn-site

Job description

We're hiring on behalf of a Haystack partner!

The Role

  • Execute on the design and delivery of Agentic AI for hardware design.
  • Identify and enable impactful technical ideas and research directions for Generative AI applications in hardware design.
  • Collaborate with and coach others to complete tasks and achieve goals.
  • Engage with cross-functional teams to identify and deliver solutions for technical gaps and opportunities.
  • Contribute to the team’s innovation engine from idea to execution.
  • Stay current on AI, systems, and hardware-software advances relevant to AI for chip design.

What You'll Need

  • PhD in Computer Science, Electrical Engineering, or a related field.
  • At least 2 years of industry experience in Machine Learning/GenAI and MLOps.
  • Industry experience in ML/AI product development and deployment.
  • Deep knowledge of foundational model architectures and experience in foundation model development.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Hands-on industry expertise in Agentic AI tools, frameworks, and best practices.

What's On Offer

  • Competitive annual salary ($140,800 - $211,200) plus bonus potential and RSU grants.
  • Opportunity to work on cutting-edge AI research with direct product impact.
  • Collaborative and interdisciplinary team environment.
  • Comprehensive benefits package.
Apply via Haystack today!
Keywords
machine-learningplanning-and-designvisual-art-designproduct-development-and-designartificial-intelligenceagentic-aicabinet-construction-materials-hardwarehardware-designgenerative-artificial-intelligence-generative-aiintegrated-circuit-icchip-designcomputer-scienceelectrical-engineering-and-planningmachine-learning-ops-mlopstraining-and-developmentfoundation-modelsprogramming-languagespythonjavacplusplus

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