What are the responsibilities and job description for the ML Engineering Lead position at Normal Computing?
Your Role in Our Mission :
As an ML Engineer Lead, you will play a pivotal role in leading and managing projects from concept to production, mentoring team members, and influencing the strategic direction of our AI initiatives. Knowledge of semiconductor design and manufacturing is a plus.
Responsibilities :
- Lead AI projects from concept to production deployment
- Solve challenging AI and software engineering problems while promoting best practices
- Create showtime-ready benchmarks to continually measure quality and robustness of solutions relative to baselines
- Develop and deploy state-of-the-art AI models for problems in hardware engineering with complex logical and uncertainty-bound constraints
- Evaluate state-of-the-art Bayesian and non-Bayesian approaches to reliable deep learning and formal verification of AI systems
- Set up experimentation tools and synthetic data infrastructure to support rapid experimentation and iteration, with a clear path to production deployment
- Develop strategies to manage AI-specific challenges (latency, variance, errors)
- Keep up with AI advancements, especially in language models and multi-modal AI, and synthetic data generation
What Makes You A Great Fit :
What Elevates Your Application :
Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accomodations@normalcomputing.ai.
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