Member of Technical Staff, Founding Machine Learning Engineer at Ocular AI – US | Jobyssey

Ocular AI

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 an exceptional opportunity for you to join a fast-moving, well-funded startup backed by top investors like Drive Capital, Y Combinator, Alumni Ventures, BDMI, Orange Collective e.t.c

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
- Heath Insurance (Dental + Vision)
- Annual Company Retreats
- Monthly Mental Health Stipend
- Work setup stipend (MacBook Pro, Monitor, & Accessories)

What you’ll be working on?

Ocular is looking for a Founding Machine Learning Engineer to work directly with the Founders to design and develop Foundational AI models for production. Your core work at Ocular will include:

Finding the latest papers, turning them into useful products, and publishing them on Ocular.
Experimenting with and adapting the latest ML technologies to fit into existing tech stack
Deploying, Training and Fine Tuning Large Language Models, ML and AI Models.
Developing model training infrastructure so that Ocular users can train their own LoRAs to fine-tune open-source models to fit their needs.
Working directly with the founders and customers to shape the product direction and engineering strategy

This is a high agency role with a lot of ambiguity as a part of an early stage startup. You will be reporting directly to the Founders.

If you’re someone who thrives in ambiguous environments, loves experimenting, and is excited by the fusion of creativity and development, this is the perfect opportunity to make a meaningful impact.

What we are looking for

Passion for solving ML problems with strong algorithmic problem solving, and applied machine learning.
3+ years experience developing models with Python/Pytorch/OpenCV/PyTorch/TensorFlow.
Hands-on experience training AI/LLM’s models for production environments.
Open to working in person at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please ONLY apply if that excites you.

Values

Founder Mentality: We value taking initiative, making confident decisions, and taking full responsibility for the outcomes of your work.
Design Oriented: Design is in our DNA - we believe in crafting solutions that are not only functional but also user friendly and beautiful.
Customer Obsession: We put customers first, deeply understand their needs, and ensure every decision you make creates value for them.
Humble and Collaborative: We value humility, diverse perspectives, and an environment where teamwork is key.

Read more about the 10 traits we look for:

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What you’ll be working on?

What we are looking for

Values