We’re Compass Regulatory, an early stage technology startup building the regulatory and compliance platform for the ag industry.
We help agriculture companies starting with crop input developers and retailers easily track and execute their regulatory work, letting them bring new products to market faster while reducing the risk of costly errors.
Our team comes from some of the leading companies in the AgTech industry, and has received investment from notable SaaS and AgTech investors.
We are seeking a talented and ambitious Machine Learning Engineer to join our growing technical team (currently three engineers).
In this role you will :
- Collaborate with the founding team to explore and unlock new product opportunities
- Bridge research and implementation in building end-to-end systems integrating human data and QC, model design, implementation, and evaluation, and production inference services
- Tackle real problems for eager customers requiring highly accurate and reliable solutions
- Work with the Head of Engineering and Data Science to shape product and development roadmaps to balance technical debt and feature delivery
- Share in building a technical community that promotes curiosity and innovation
What you bring
- 4+ years of relevant experience as a data scientist, machine learning engineer, or scientific software engineer
- Masters degree in a technical field or two additional years of experience solving applied problems with software and quantitative reasoning
- Eagerness to own core data and ML technologies supporting key product areas
- Track record of collaborating with cross-functional teams to ship data-intensive features
- Experience with Python, Docker, LLM output evaluation and fine-tuning, multi-modal AI models or workflows, OpenAI and similar API endpoints
- Preferred : experience in AgTech
What we offer
- A chance to use your technical skills to improve our food and agriculture system
- A passionate and supportive team eager to learn from each other and our customers
- Opportunity to join our ambitious venture at an early stage
- Competitive salary, equity options, healthcare + FSA, commuter benefits, company-sponsored gym access at our office, and 401k program
Location
SF Bay Area (hybrid)
Compensation and Additional Information
We take a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into two zones based on a cost of labor index for that geographic area.
The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions.
These ranges may be modified in the future.
Zone 1 (San Francisco / Oakland / San Jose; New York; Los Angeles; Seattle) : $150,000-190,000
Zone 2 (All other) : $130,000-170,000
This role is also eligible to participate in the company's equity plan subject to the terms of the applicable plans and policies.
Additional benefits include time off and retirement plan eligibility further detailed in company policies.
We are an equal opportunity employer and do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.
We consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Principal Machine Learning Engineer
Key Responsibilities:Lead the development and implementation of machine learning modelsCollaborate with cross-functional teams to drive innovation in ML solutionsProvide technical guidance and mentorship to junior team membersRequired Qualifications:Bachelor's degree in Computer Science, Engineering...
Machine Learning Infrastructure Engineer
Our mission is to enable 9M mechanical engineers to iterate through designs 1000x faster. Set up an MLOps framework for training deep learning architectures for geometry and physics data. Learn a lot while building products that engineers will love. Have a continuous learning mindset. ...
Machine Learning Engineer Graduate (Data-eCommerce) - 2025 Start (PhD)
We are a group of applied machine learning engineers and research scientists that focus on E-commerce recommendations. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the b...
Senior Machine Learning Engineer
Senior Machine Learning Engineer. Role Overview: We seek a highly skilled and motivated Machine Learning Engineer to join our dynamic team. Our comprehensive clinical intelligence platform, Hypercube, combines advanced machine learning with deep clinical understanding to deliver precise, actionable ...
Machine Learning Engineer, Web Ads and Open-loop E-Commerce
Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers'...
Data Scientist Machine Learning Engineer OnSite Only
Job Title: Data Scientist / Machine Learning Engineer (On-Site Only). Strong understanding of machine learning algorithms and neural networks, with significant experience working with large language models (LLMs). ...
Machine Learning Engineer, TikTok Recommendation
We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, frameworks, Gradient B...
Machine Learning Engineer
Centerfield Media, a leading Los Angeles-based online advertising agency, is looking for a talented Machine Learning Engineer to join us in building innovative advertising technology. You will help design the data science programs, machine learning models, and architecture to support Generative AI. ...
Machine Learning Engineer L4, Algorithms Engineering
To be successful in this role, you need a strong machine learning and software engineering background and have proven experience with large-scale applications involving machine learning. We are looking for a passionate and talented machine learning engineer to join our applied ML research team on es...
Staff Machine Learning Engineer, Motion Planning, Autonomy
Staff Machine Learning Engineer, Motion Planning, Autonomy. Need help in your machine learning engineer job search? Checkout this freearticle:. Role Summary We are seeking Machine Learning Engineers to help us train and deploy models used for decision-making aspects of the Rivian Autonomy stack. We ...