- Job title
- Machine Learning Engineer
- Job location
- San Mateo, CA, US
- Job description
- **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.
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**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.
