Normal Computing. Incredible Opportunities.
At Normal, we’re rewriting AI foundations to advance the frontier of reasoning and reliability in the real world. At the center of our mission is bridging artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe. We are tackling these problems with a mix of interdisciplinary approaches across the full stack, from probabilistic software infrastructure and algorithms to hardware and physics.
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 physical world.
Join us as we incite a second industrial revolution through AI purpose-built for (and in) the physical world, as part of our incredible team that’s anything but normal.
Your Role in Our Mission
We are seeking an ML Engineer / Sr. ML Engineer with a data-driven mindset to join our team. In this role, you will be responsible for developing and implementing cutting-edge probabilistic machine learning models and algorithms that solve real-world problems for our clients. You will work closely with our research scientists, and software engineers to deliver high-quality solutions that meet the needs of our clients. Some of the exciting work you will do in this role:
Develop and implement state-of-the-art probabilistic machine learning models and algorithms to solve real-world problems
Develop and implement robust data pipelines at a variety of scales, including collection, pre-processing, transformation, and feature engineering
Explore Bayesian and non-Bayesian approaches to Reliable Deep Learning for solving client problems
Develop evaluation metrics and procedures to assess the performance of LLMs. Conduct thorough experiments, analyze results, and iteratively improve model performance.
Work closely with the engineering team to build seamless features and integrations for core Probabilistic ML platform
Collaborate with research scientists and data scientists to develop new models and techniques for probabilistic machine learning.
Stay up-to-date with the latest research and industry trends in probabilistic machine learning.
What Makes You A Great Fit:
Applied experience with data modeling.
Applied experience with machine learning, preferably modern deep learning architectures (e.g. Transformers, CNNs, vision-language models, deep reinforcement learning)·
Experience with machine learning training objectives beyond accuracy (e.g. Bayesian learning, meta-learning, value-at-risk, robustness, distribution shift, class imbalance, fairness)
Experience with at least one programming language (preference for those commonly used in ML or scientific computing such as Python or C++).
Experience using TensorFlow, PyTorch, Jax, NumPy, Pandas or similar ML/scientific libraries.
Familiarity with probabilistic programming languages (e.g. Tensorflow Probability, Pyro)
What Elevates Your Application:
Experience using text-as-data
Experience and participation in a team driving a project from – conception to an experimental idea – to a proof-of-concept – to a launched product feature.
Experience in cross functional collaboration, with research teams, product teams, and external partners and stakeholders
Experience with large-scale Bayesian modeling and inference
Comfort with probabilistic programming languages (e.g. Tensorflow Probability)
Experience in cross functional collaboration, with research teams and product teams.
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].
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