Machine Learning Engineer
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.
Machine Learning Engineer, Mid - Security Clearance Required
You’ll be part of a large community of machine learning engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to deliver mentorship, training, and solutions to real world problems, process data and in...
Senior Computer Vision & Machine Learning Engineer - Foundation Models, Creativity Apps
PhD in Computer Science, Computer Vision, Machine Learning, or related field, and 4+ years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies. Extensive knowledge in theory and practice of computer vision, machine learning ...
Machine Learning Engineer Payment Intelligence
A company is looking for a Machine Learning Engineer in Payment Intelligence. ...
Sr SW QA Engineer, Machine Learning
A minimum of 5 or more years in quality assurance and/or quality engineering with a prior focus in Machine Learning. Understand of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI. Strong comprehension of machine learning algorithms, s...
Machine learning Engineer
Basic understanding of machine learning networks such as ResNet, ResNeXt. Basic understanding of machine learning operators such as convolutions and fully connected layers. Experience with machine learning frameworks such as Caffe2 and Pytorch is a plus. ...
AIML - Machine Learning Engineer, Machine Learning Platform & Intelligence
Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. Extensive experience in applied machine learning, modeling ...
Senior Machine Learning Engineer - Search E-commerce (San Jose)
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 best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world. Industry work e...
Machine Learning Model – Research Engineer
As a Machine Learning Research Engineer, you can access unique Samsung proprietary data to develop and deploy a broad spectrum of large-scale machine learning products with real-world impact. Our mission is to represent Samsung's leadership in large-scale machine learning / GenAI products by collabo...
Senior Engineer, Ads Machine Learning Systems
We are seeking a Senior Engineer who has experience designing, building, implementing and optimizing both machine learning infrastructure and models. BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience. Machine Learning Infrastructure. ...
Machine Learning Engineer
Imagry is seeking an experienced Machine\Deep Learning Engineer. The engineer will work on devising, developing, and integrating novel deep vision-based algorithms at the heart of our autonomous driving system. ...