Machine Learning Engineer
Technology
Haystack2 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.
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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