About Us At Encord, we're building the AIinfrastructure of the future. The biggest challenge AI companiesface today is not half as glamorous as the outside world may think:it's all about data quality. In fact, the success of any AIapplication today relies on the quality of a model's training data— and for 95% of teams, this essential step is both the most costlyand the most time-consuming in getting their product to market. Asex-computer scientists, physicists, and quants, we felt first-handhow the lack of tools to prepare quality training data was impedingthe progress of building AI. AI today is what the early days ofcomputing or the internet were like, where the potential of thetechnology is clear, but the tools and processes surrounding it arestill primitive, preventing the next generation of applications.This is why we started Encord. We are a talented and ambitious teamof 75+, working at the cutting edge of computer vision and deeplearning, backed by top investors, including CRV and Y Combinator,leading industry executives like Luc Vincent, former VP of AI atMeta, and other top Bay Area leaders in AI. We are one of thefastest growing companies in our space and consistently rated asthe best tool in the market by our customers. We have big plansahead and are looking for a Machine Learning Engineer to join ourML team. The Role We are looking for an experienced MachineLearning Engineer to help us conduct research on the state of theart of computer vision and solve multifaceted algorithmic problems.You will: 1. Experiment with and adapt latest ML technologies tofit into existing tech stack 2. Solve idiosyncratic statistical,geometric, and engineering problems 3. Work closely with a fullstack tech team to assist implementation of research solutions intothe product 4. Contribute to hiring additional talent to ourrapidly growing team The role will be exposed to a broad tech stack(e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP,AWS & CUDA, Kubernetes) and the cutting edge of computer visionand deep learning. Qualifications The right candidate will have aproven track record of relevant publications and previousexperience managing applied research teams. Requirements for therole include: 1. Passion for solving ML problems 2. Strongexperience in Python and machine learning libraries such as OpenCV,PyTorch, TensorFlow, Fast.ai, and Keras 3. Strong experience inmathematical programming, algorithmic problem solving, and appliedmachine learning What We Offer 1. Competitive salary, commission,and equity in a hyper growth business. 2. Strong in-person culture:most of our team is in the office 3+ days a week. 3. Room to growinto anything you choose to — a year ago we were 25 people, nowwe're 60. We'll be growing insanely fast over the next 24 monthsand you'll have all the opportunities for growth as you can handle.4. 25 days annual leave a year + public holidays. Encord offers aunique opportunity to be part of a startup with a clear mission andvision. You will get to explore and build services enterprise AIuse cases across many different industry verticals such ashealthcare, surveillance, retail, agriculture, and many more. Ourwork is at the cutting edge of computer vision and deep learning,which also includes working on solving unsolved problems withinthose fields. #J-18808-Ljbffr
