Machine Learning Engineer

About Hestus, Inc.

An AI-powered CAD software

The role

**Location:** San Mateo, CA**About Us:** We are Hestus, and we build AI-powered CAD to speed up the hardware development process. Our team is small, scrappy, and growing fast. We are looking for a versatile and enthusiastic Machine Learning Engineer to join us. If you enjoy wearing multiple hats and are passionate about technology, we want to hear from you!**Responsibilities:*** Design, train, and evaluate custom machine learning models and embeddings behind our AI-powered CAD.* Own the entire data pipeline: from data wrangling and curation through to the model training framework.* Build and improve our training and evaluation infrastructure, including experiment tracking, metrics, and reproducibility.* Take models from prototype to production: deployment, monitoring, and iteration based on real-world performance.* Collaborate with cross-functional teams to turn product needs into machine learning solutions and ship new features.* Write clean, efficient Python, and participate in code reviews, testing, and debugging.* Stay current with the latest machine learning research (LLMs, embeddings, and representation learning) and bring new ideas to the team.**Requirements:*** Proven experience as a Machine Learning Engineer, with at least 4 years in industry or equivalent academic experience (thesis-based Master’s or PhD).* Strong proficiency in Python; write clean, efficient code with minimal handholding.* Demonstrated experience developing novel, custom machine learning models and embeddings: inventing new approaches rather than applying off-the-shelf LLM or image-processing tools.* Hands-on experience with large language models (LLMs).* Familiarity with a deep learning framework such as PyTorch, TensorFlow, or JAX.* Ability to work in a fast-paced startup environment and manage multiple tasks simultaneously.* Excellent problem-solving skills and attention to detail.* Strong communication and teamwork skills.\**Bonus Skills:*** Experience with ML platforms such as Amazon SageMaker, Azure ML, or Google Cloud AI Platform.* Experience with cloud platforms (e.g., AWS, Google Cloud).* Experience with backend development and frameworks (e.g., Django, Flask, SQL).* CAD, geometry, or computational geometry domain experience.**What We Offer:*** Competitive salary and equity options.* Comprehensive health insurance, including medical, dental, and vision coverage.* Catered lunch.* Unlimited time-off.* A collaborative and inclusive work environment.* Opportunities for professional growth and development.* The chance to be part of a passionate team building innovative products.