Member of Technical Staff, Founding Machine Learning Engineer Join to apply for the Member of Technical Staff, Founding Machine Learning Engineer role at Ocular AI (YC W24) .

Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. This range is provided by Ocular AI (YC W24). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $130,000.00/yr - $200,000.00/yr Company Overview Ocular AI is the data annotation engine for Generative AI, Computer Vision, and Enterprise AI models. We help companies transform unstructured, multi-modal data into golden datasets to power generative AI, frontier models, and computer vision. Ocular Foundry is the most intuitive, data-centric, and fastest platform that lets you label, annotate, version, and deploy your data for training models. It also orchestrates your annotation jobs, improving collaboration with members and annotators. With Ocular Bolt , shift from humans in the loop to experts in the loop to supercharge your data labeling and annotation projects. Our global expert workforce ensures fast, accurate results—no matter the scale or complexity of your data. This is a unique opportunity to join a fast-moving, well-funded startup backed by top investors like Drive Capital, Y Combinator, Alumni Ventures, BDMI, Orange Collective . Compensation Base: $130K to $200K Stock: 0.3% to 1% Location: San Francisco, CA (In Person) Job Type: Full Time Experience: 3+ years Benefits 401K Health Insurance (Dental + Vision) Annual Company Retreats Monthly Mental Health Stipend Work setup stipend (MacBook Pro, Monitor, & Accessories) What You’ll Be Working On As a Founding Machine Learning Engineer, you'll work directly with the founders to design and develop foundational AI models for production. Your core responsibilities include: Researching latest papers, transforming them into products, and publishing on Ocular. Experimenting with and adapting the latest ML technologies to our tech stack. Deploying, training, and fine-tuning large language models and AI models. Developing infrastructure for training models, enabling users to fine-tune open-source models. Collaborating with founders and customers to shape product and engineering strategies. This role involves high autonomy and ambiguity, suitable for someone excited by experimentation and innovation in an early-stage startup environment. You will report directly to the founders. What We Are Looking For Passion for solving ML problems with strong algorithmic and applied machine learning skills. 3+ years experience with Python, PyTorch, OpenCV, TensorFlow. Hands-on experience training AI/LLM models for production. Willingness to work onsite in SF; ability to thrive in a fast-paced, startup environment. Core Values Founder Mentality: Initiative, responsibility, confident decision-making. Design Oriented: Crafting user-friendly and beautiful solutions. Customer Obsession: Prioritizing customer needs and value creation. Humble and Collaborative: Embracing humility, diversity, teamwork. Learn more about our traits: https://www.useocular.com/careers Additional Details Seniority Level: Mid-Senior level Employment Type: Full-time Job Function: Engineering and IT Industries: Healthcare, Non-profit, Government

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