Machine Learning Engineer

Posted 24 Days Ago
Be an Early Applicant
San Francisco, CA
Hybrid
170K-240K Annually
Mid level
Artificial Intelligence • Machine Learning • Software • Semiconductor
Pioneering research on the path to AI that understands the universe.
The Role
The Machine Learning Engineer at Normal will design, train, evaluate, and deploy machine learning models, particularly large language models. The role requires expertise in deep learning frameworks, familiarity with cloud infrastructure, and the ability to handle large datasets. A proactive mindset and excellent problem-solving skills are essential.
Summary Generated by Built In

Normal Computing. Incredible Opportunities.

At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the real world. We are tackling problems across semiconductors and industrials with a mix of interdisciplinary approaches across the full stack: from probabilistic software infrastructure and algorithms to hardware and physics, enabling AI that can reason and understand its own limits. 

At Normal, we understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world of atoms.

Normal was founded in 2022 by engineers and scientists that pioneered industry-leading Physics + ML tools for next-gen AI at Google Brain and Google X.

What Makes You A Great Fit:

  • 4+ years of experience with deep learning frameworks like Pytorch, Tensorflow, Jax

  • Rich ownership of the “full stack” when it comes to designing, training, evaluating and deploying machine learning models, especially large language models

  • Experience with generative models for various modalities

  • Familiarity with cloud infrastructure and deploying ML models from ideation to production

  • Ability to handle and preprocess large datasets, including time-series and sensor data

  • Excellent problem-solving skills and a strategic mindset for identifying valuable solutions

  • Proactive and adaptable mindset, thriving in a dynamic environment, including a transparent and open communication style

What Elevates Your Application:

  • Familiarity with probabilistic programming languages (e.g., TensorFlow Probability, Pyro) and probabilistic reasoning methods (e.g. Bayesian NNs or Monte Carlo Tree Search)

  • Familiarity with advanced prompt optimization frameworks like DSPy

  • Contributions to open-source projects or publications in AI-related conferences/journals

  • Deep curiosity for or experience in semiconductors and physics

  • A "defensive AI engineering" mindset, with experience handling the challenges of working with non-deterministic AI systems

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 [email protected].

Privacy Notice

By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

Top Skills

Jax
PyTorch
TensorFlow
The Company
San Fransisco, CA
43 Employees
Hybrid Workplace
Year Founded: 2022

What We Do

At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the real world. We are tackling problems across semiconductors and industrials with a mix of interdisciplinary approaches across the full stack: from probabilistic software infrastructure and algorithms to hardware and physics, enabling AI that can reason and understand its own limits.

Why Work With Us

At Normal, we understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world.

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