Machine Learning Engineer
HaystackUnited StatesFull-time$140,800–$211,200Posted Aug 31, 2026
About the role
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!
Responsibilities
- 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
Qualifications
- 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
Benefits
- Competitive annual salary 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
Skills mentioned
Machine LearningGenerative AILarge Language ModelsTransformersAI AgentsMLOpsModel DeploymentModel ServingDeep LearningPython
About Haystack
Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview. We're trusted by over 400,000+ tech candidates, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.
Technology51-200 employeesNewcastle upon Tyne, England