Manager, Machine Learning

Remote - India

At Coinbase, our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.

There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.

Ready to #LiveCrypto? Who you are:

  • You’ve got positive energy. You’re optimistic about the future and determined to get there. 
  • You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. 
  • You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
  • You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
  • You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
  • You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.

The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure.

The ML India team at Coinbase, specializes in leveraging AI's language capabilities for innovative products and solutions. As the industry buzzes with excitement over the widespread use of LLMs across various domains, within Coinbase, our focus is on crafting a multi-cloud LLM platform catering to every customer and employee. For our vast customer base 100M+, we develop LLM-powered experiences such as Customer Support Chatbots and Predictive Solutions, facilitating swift identification and resolution of customer issues. Meanwhile, for our workforce of 3500+ employees, we empower them with a self-serve platform to create AI assistants and tailored tool integrations, enhancing daily productivity.

This groundbreaking solution relies on cutting-edge Large Language Models (LLMs), delivering human-like, domain-compliant, secure, and personalized generative responses to customer and employee queries.

To realize our ambitious vision, we actively seek a highly skilled ML Engineering Manager. This role entails leading a team to scale up these capabilities, with a focus on platformization and harnessing state-of-the-art LLMs and tools. The aim is to seamlessly integrate and widely adopt these innovative solutions, ensuring they have the maximum impact.

 

What you’ll be doing (ie. job duties):

  • Hands-on with coding along with leading a team of ICs
  • Plan and Implement the multi-year strategy for Machine Learning Language team with the technical leadership on your team
  • Coach your direct reports to have a positive impact on the organization and chart a fulfilling career path.
  • Be a thoughtful technical voice and support your team in making diligent architectural decisions.
  • Collaborate with engineers, product managers and senior leadership to turn our vision into a tangible roadmap every quarter.
  • Work with our talent organization to source and hire amazing engineers who will expand the Coinbase culture and product.
  • Add positive energy in every meeting, and make your coworkers feel included in every interaction.
  • Contribute to owning and delivering processes to drive engineering quality and meet our engineering SLAs.
  • Navigate the team through high uncertainties such as:
    • Dynamic product charters to cater to rapidly changing crypto-landscape
    • Crypto bear /bull cycles (volatile stock prices, FUD etc.)
    • Delivering top quality products in a very tight timeframe
  • Manage a wide variety of stakeholders within the company to deliver ML-based solutions to best suit their needs.

 

What we look for in you (ie. job requirements):

  • At least 10 years of experience in software engineering.
  • At least 2 years of engineering management experience.
  • Comfortable managing engineers working across ML and backend technologies
  • You have designed, built, and scaled production ML applications and very hands-on in leading a team of highly competent engineers
  • You know what high quality code — and software engineering processes — look like and know how to foster an environment that creates them.
  • You’re passionate about building an open financial system that brings the world together.

Nice to haves:

  • BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field.
  • Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive.
  • Experience with Python.
  • Experience with model interpretability, responsible AI.
  • Experience with data analysis and visualization.


    PID - P54686

Commitment to Equal Opportunity

Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay TransparencyEmployee Rights and Know Your Rights notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. 

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please complete this intake form to let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.    

 

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Chatbots Computer Science Crypto CX Data analysis Data Mining Engineering Finance Flink Hadoop Kafka Kinesis LLMs Machine Learning PhD Privacy Python Responsible AI Snowflake Spark Statistics

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  12  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.