Machine Learning Engineer
Ai ml · Posted 3 months ago
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!
- Way of working
- On site
- Location
- San Mateo, CA
- Pay range
- $125,000 to $250,000
- Level
- Mid
- Experience
- 4+ years
- Type
- Full time
- Visa sponsorship
- Not offered for this role
- The company
- Software Development · under 20 people
Skills that matter here
What you would be doing
- 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.
What they are looking for
- 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.
The full description
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.
Interested in this one?
There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.
Tell us about you