Member of Operational Staff — Frontier Data

6 дн. назад

USALead

Responsible for operational delivery of datasets and environments to AI labs as part of the Frontier Data team.

О компании

is the visual cortex for physical AI. Sight is one of the key ways humans understand the world, and soon this will be true for machines as well.
We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use ’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety , digitizing floor plans , preserving coral reef populations , guiding drone flight , and much more .
Our team is small relative to our impact, and we believe our user success is our success (not the inverse). A team member summarized: “ is a company full of giant brains and tiny egos.” We find software has a multiplier effect on all roles (not only product and engineering), so employs developers across the company in design, sales, customer support, marketing, and beyond.
We’re supported by great customers and investors, having raised over 63 million from Google Ventures, Y Combinator, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.
At , we believe great ideas come from everywhere, and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.

Обязанности

As a Member of Operational Staff on our Frontier Data team, you’ll own the delivery engine behind the datasets and environments we ship to leading AI labs. Every engagement runs through you: you take it in, scope it, stand up the process, run it, review the output, and ship it. You’ll work directly with researchers and engineers at partner labs to translate fuzzy requirements into concrete specs, and with our engineers to automate anything you find yourself doing twice.
Own delivery from intake through execution, review, and final shipment.
Build processes that ensure quality is visible, measurable, and consistently enforced.
Interface with researchers and engineers at leading AI labs to shape data products.
Plan and manage capacity across contributor and reviewer networks.

Требования

You are a highly organized operator who thrives on ownership and who wants to be an important part of an exceptional team that focuses on using ’s computer vision platform to advance frontier model capabilities.. You have high agency and a bias toward action.
Practical experience with agents, evaluations, or RL workflows.
Exceptional organization, judgement
Outstanding organization, judgement, and communication skills.
Nice to have: exposure to data labeling, annotation operations, evaluations, or ML training data pipelines.

Как откликнуться

Below is the interview process you can expect for this role. We’re committed to building an exceptional team and aim to be thoughtful while also moving quickly. We respect your time and strive to make decisions efficiently, depending on scheduling and availability.
You’ll have several conversations with the hiring manager, a member of the leadership team, and complete a role-relevant project or challenge.
Throughout the process, you’ll speak directly with team members about what it’s like to work and succeed at .

Другое

is a fully distributed company but our Frontier Data team headquartered in San Francisco. We currently have Hubs in New York City, San Francisco, Singapore, and Brazil (and plan to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources (like a $4000/yr travel stipend) to work in person with other team members as much as you’d like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!
💰 The target compensation for this role is $150,000 – $300,000 base, depending on experience and level.
📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:
$4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers
Cover up to 100% of your health insurance costs for you and your partner or family
$350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space
$350/mo AI Stipend
$500 one time home office stipend
$150/mo Team lunch stipend
Unlimited PTO - with an annual 2 week minimum, we encourage you to take time off for yourself
12 weeks parental leave
Equity in the company so we are all invested in the future of computer vision
We’ll review your application, LinkedIn, Github, etc.
The best way to stand out is to write about something you’ve built with or contribute to one of our open source projects .
[30m] Meet with hiring manager to assess for overall mindset and skillset
[45m] Written exercise, take-home — given a realistic partner request, produce a delivery plan: scope, quality bar, staffing, timeline, and risks.
[30m] Meet with another member of the Frontier Data team (engineering partner)
[60m] Meet with hiring manager again
Use this time to review specifics about the job description
Begin working through your 30/60/90 projects
Ask questions!
[45m] Walk through your take-home exercise with the hiring manager and one partner-facing teammate, we’ll pressure-test your plan and see how you adapt when requirements change mid-flight
[30m] Leadership conversation focused on culture and company vision
References are required as part of our process. We will reach out to coordinate timing.
Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can.
We want a diverse, global team with a broad range of experience and perspectives. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.