Machine Learning Engineer

We’re living at the dawn of a borderless world, but most people still don't have the tools needed to engage in critical high-trust services including everything from access to financial services, to sharing assets in peer-to-peer marketplaces, and even managing talent. At MetaMap, our work is centered on addressing this gap by building an identity data protocol that surfaces merits in the form of legal, financial, and work data. We’re energized by the unlimited potential that comes from this collective coordination, the removal of barriers to access, and the future we’re building towards — one that is interconnected and equitable. If you believe in our mission to help unlock borderless growth too, come join the MetaMap team!

About the Role

You would be joining our team as a Machine Learning Engineer to ship product improvements involving ML, from understanding the data to implementing the solution and deploying it in production. You will work as part of a cross-functional product team (product manager, ML engineer(s), ML platform engineer(s), backend, frontend, and QA) to directly have an impact on business objectives. ML engineers at MetaMap work on a range of topics, with a focus on computer vision: document classification, face recognition, video liveness detection, OCR, and document reading. We use PyTorch for our models and deploy our ML API using docker, kubernetes and rabbitmq.

Key Responsibilities

• Be a part of a cross-functional product team (2-week sprints), deliver on business objectives by collaborating with your team

• Play an active role in raising the excellence level of the team, coaching more junior team members

• Identify pain points at the team or company level, either on the operational or business level, and set up tools, processes, and other initiatives to improve and solve the problems in the long term

• Be involved in the full lifecycle of new ML feature development: understanding the existing data, building a quick prototype, testing it, implementing a robust production-ready change to our API, deploying it to production (with an AB test) using internal tools

• Come up with new ideas to improve the product. We are looking for candidates with strong innovation skills who are ready to push their ideas to production and iterate quickly on those. In order to achieve that, you will need a deep understanding of the product and customer issues as well as a capacity to experiment and find impactful solutions using our machine learning stack.

• Solve bugs, be able to investigate our ML pipeline to find root causes

• Train machine learning models, compute metrics, monitor these models once deployed in production

• Part of the job involves longer-term applied machine learning research, but always as a means to solve concrete product needs

• Solve identity-related problems: document detection, document verification, OCR, face detection and recognition, face liveness detection, etc.

Skills & Experience

• Deep knowledge in machine learning; at least 3 years of experience working as a Machine Learning Engineer/Data Scientist or equivalent roles

• Experience working with one of the main deep learning libraries (PyTorch, TensorFlow, etc.)

• Some experience in computer vision, OpenCV, natural language processing

• Coding proficiency: python, git, testing, linting, etc.

• Data analysis skills to dive into the data and quantify ideas or bugs

• Ability to train machine learning models, monitor metrics, and set up proper benchmarks.

• Experience collaborating with non-ML teams (product, backend, DevOps), and pushing cross-team initiatives

• We value team members ready to take end-to-end ownership and help take the team and company to the next level. As a team, we are striving for continuous learning and positive feedback to grow together.

Bonus

• Experience pushing models in production

• Experience with PyTorch

• Experience in face recognition, OCR, document reading

• Experience with docker, kubernetes

• Experience building world-class APIs

MetaMap is building tools that power a borderless world where everyone has equal access to opportunity based on their merits. As a proud equal opportunity employer, we live by these same values, celebrate diversity, and are committed to creating an inclusive environment for all of our employees. We are also committed to a fair and inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. 

We evaluate all employees and job applicants consistently, without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or any other legally protected class. All employment decisions including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.