Machine Learning Software Engineer
Departments: Engineering
Location: Remote
About Us
We're on a mission to revolutionize the CAD industry by developing the world's most advanced hardware design infrastructure and tools. Mechanical CAD is in the dark ages, and hardware demands have outpaced today’s hardware design infrastructure. The industry is due for a refresh, and we're laying the foundation for a modern hardware design toolkit so that you can create new design tools never before possible.
We are headquartered in Los Angeles, CA with both a local and remote, globally-distributed team. We were founded and incubated by Embedded Ventures in 2021.
About You
We’re looking for curious, innovative, and ambitious self-starters to join our lean and growing team to help us bring our mission to life. We think you’ll thrive on our team if you’re:
- Excited about making an impact on the ground floor of something big!
- Curious at your core, with an eagerness to learn and do things differently
- Customer-focused, always thinking about ways to improve the user experience
- Able to operate autonomously and work asynchronously, while also being an effective team player
About The Role
We’re looking for an experienced Machine Learning Software Engineer to help design and implement Zoo’s foundational machine learning systems to enable the next generation of hardware engineering. In this role, you’ll apply cutting edge techniques in machine learning to support the end-to-end development of ML models and features that improve our users' experience. The ideal candidate will have prior experience developing a large scale distributed ML system, and ideally has an understanding of hardware design and manufacturing related processes with knowledge of the relevant data required.
What You’ll Do
- Develop and implement robust conversational interfaces using LLMs for a seamless user experience
- Continuously iterate and fine-tune models to improve accuracy, relevance, and user experience based on data and user feedback
- Help design, develop, optimize, and debug a large scale distributed ML system and algorithms
- Improve upon existing ideas in generative AI and develop unique solutions to the problems we’re solving in hardware design
- Curate and maintain large annotated datasets to train ML models at a massive scale
- Interact with CAD models and modeling/shape setups
- Experiment with various proof of concepts and ideas for our use cases
What You’ll Need
- B.S. Computer Science or a related field, or equivalent professional experience
- Demonstrated professional career and expertise in ML software engineering
- Demonstrated expertise in successfully developing, deploying and maintaining an LLM-based conversational copilot application
- Professional experience with PyTorch, or any of the current machine learning frameworks
- Experience with CAD software and processes, and modeling/shape algorithms
- Strong programming skill with Python, and one low-level language such as Rust or C++
- Experience with Git
- Prior experience working on a production system
- Familiarity with distributed systems
What We Offer
- Competitive compensation & equity packages
- Medical, Dental, and Vision coverage for you and your dependents
- 6% 401K match (for US-based employees)
- Flexible vacation policy (for US-based employees)
- Home office stipend & wifi reimbursement to set you up for success working remotely
- Pet insurance reimbursement for your animal friends
Zoo is proud to be an equal opportunity employer. We’re committed to equal employment opportunity for all, regardless of background, identity, or status.