We are hiring ML scientists and senior engineers in SF, Helsinki, Berlin and worldwide to work with us on some of the hardest problems around. Applied math or physics background preferred.
You’ll join a team of seasoned folks working on research and implementation for products and services used at scale by the largest companies in the world.
Who are we? We've worked at companies like Apple, Google, Amazon, and Cloudera, studied at institutions like Stanford and MIT, and scaled some of the largest sites in the world.
We publish some of our results at conferences like ICLR, NIPS, and CVPR, but are not simply a research lab. The work is directly inspired by real problems and does not end with toy datasets.
Our research often goes into production, and our production needs are extreme. Distributed systems expertise and familiarity with probabilistic data structures or tick data systems is ideal.
We are an employee-owned company with a strong focus on research, culture, and sustainable work-life balance.
Our tools and interests: multi-objective optimization, active learning, unsupervised & weakly supervised learning, anomaly detection, reinforcement learning, semantic image analysis, meta-learning, structure search, Python, TensorFlow, pyTorch, Keras, ONNX, OpenCL, Kubernetes.
We are now opening applications for our Fall 2019 Engineering and ML Fellows programs. You have the option of working from our San Francisco, Berlin, or Helsinki offices, or remotely.
ML Engineering Interns
An interest in mathematics and a background in developing code that other people use.
Things you will learn: modern systems design, distributed systems, ML engineering, active learning.
We do CI/CD. Disciplined testing is required. Few academic programs cover this in depth, but if you haven't worked in a similar environment before we'll teach you.
Desired skills: Python, linux systems, cloud deployment. We use Linux and Kubernetes extensively in production. Useful to have: an interest in security, microservices, and horizontal scalability.
Machine Learning Research Fellows
Current PhD student or recent graduate with at least one year of industry or previous internship experience.
Current Post-Doctoral researcher looking for industry experience or collaboration on a project of interest.
Desired fields: CS, EE, Computer Vision, Pure/Applied Mathematics, Theoretical Physics, Quant Finance
Desired skills: Python, PyTorch/TF, distributed training. Previous published research articles. Probability, Stats, Optimization theory.
Some travel for research conferences (ICLR, CVPR, NeurIPS) is expected, and submission of results is generally encouraged.
IM products and services run at impressive scale: thousands of cores, large numbers of users. Building and maintaining the systems that power real-time services with high availability and performance requirements is challenging but rewarding work.
Senior Python Backend Engineers
A history of writing production Python web services.
Prior expertise with developer best-practices such as CI/CD, testing paradigms, and documentation.
Useful to have: an interest in security, microservices, and horizontal scalability.
Solidity smart contract coding experience.
Ethereum production deployment, design and maintenance of high availability production blockchain infrastructure.
Optimization, scalability analysis for Layer 2 networks a plus.
Send your CV, github, citizenship or visa status, and a brief cover letter to us via email if this sounds like you.
Please include: where you’d like to work, which role interests you, and why.