Senior Product Engineer

Encord; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Equity

Office in North Beach (SF)

Flexible PTO

Learning budget

Paid vacation

Travel opportunities

Off-sites & socials

Health/dental/vision

Job summary

Encord, the universal data layer for AI, is seeking an experienced engineer to push our platform to the next level of performance and reliability. You will join a small, collaborative team and own critical projects from product decisions to deployment.

You will work across the stack with Python, TypeScript, Kubernetes on GCP, building scalable, maintainable systems. We value autonomy, initiative and the ability to solve problems from first principles while shipping meaningful features for our

Responsibilities

• Own core platform features end-to-end from design to deployment.
• Build scalable and reliable systems across the stack.
• Collaborate with product and design to solve hard problems.

Job description

About us

Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.

We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.

Who we are looking for

We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects.

An engineer in this position will operate with high degrees of autonomy and will work to build and extend multiple foundational systems. They will be expected to use simple tools to craft performant, reliable and maintainable solutions to challenging problems - both technical and product.

What to expect

• - High performing team: You’ll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right
• - Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.
• - End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.
• - Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.
• - Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You’ll leverage your expertise to solve challenging problems in simple ways.

About You

• - Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed.
• - Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.
• - Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.
• - Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.
• - Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you.

Tech stack

We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply.

We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required.

Below is a detailed breakdown of all the technologies we use.

• Backend: Python
• Frontend: Typescript and React
• Kubernetes for deployment
• GCP for underlying infrastructure
• Machine Learning: PyTorch, CUDA, Ray

We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn.

What We Offer

• Competitive salary and equity in a hyper growth startup.
• Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.
• Strong in person culture. We’re 4-5 days a week in our newly-launched loft office in North Beach.
• Flexible PTO to recharge.
• Annual learning and development budget.
• 18 paid vacation days + federal holidays.
• Lots of opportunities for travel (all around the US, to London & Europe).
• Bi-annual off-sites and monthly socials.
• Health, dental and vision insurance.

Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.

Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.