TRM prevents cryptocurrency fraud for every financial institution.

Founding Engineer (ML Engineer)

$100k - $175k / 0.10% - 1.50%
Location
San Francisco, CA, USA / Remote
Job Type
Full-time
Experience
3+ years
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Esteban Castaño
Esteban Castaño
Founder

About the role

Do you want to build critical infrastructure for the next generation of finance?

We're looking for a ML Engineer to join us at a critical time for TRM. We've tapped into a new and growing market: financial institutions are racing to prepare for the world of cryptocurrencies and the work we're doing to 'prevent fraud for crypto' is foundational to them safely transacting and holding crypto. If we're successful, we'll accelerate the adoption of digital assets around the world and enable a more fair and transparent financial system for billions of people.

We're fortunate to have a small, tight-knit team of 10x operators. Most everyone has 10+ years of experience at organizations like Facebook, McKinsey, Harvard, Disney, and Amazon. Outside of work, we're an eclectic bunch -- in our mix, we have a professor of design, a competitive ballroom dancer, and a whitewater kayaking instructor.

We gravitate towards experienced, resourceful, and hard-working people who are low ego, friendly, and transparent. We just graduated from Y Combinator and are looking to grow the six-person family in a few key areas.

That's where you come in – as the first Data Engineer at TRM, you'll will be:.

  • Build machine learning system to detect high-risk activities like money laundering, terrorist financing, human trafficking, account takeovers, and credit card fraud. This will consist of feature engineering / storage, deep learning training pipelines, offline evaluation systems, and online serving infrastructure.
  • Push the boundary of natural language processing (NLP) technologies and combine artificial and human intelligence to extract illicit activity on the DarkWeb, Social Media Platforms, and other forums.
  • Working cross-functionally with engineering and data science teams to define and expand labels for model training, productionize real-time machine learning models, and conduct independent research projects to drive our innovation forward
  • Developing your skills through exceptional training as well as frequent coaching and mentoring from colleagues

Here are some of the Traits we value in our future colleague:

  • Advanced graduate degree in quantitative field
  • 3+ years industry experience developing production machine learning systems at scale from inception to business impact. Proven ability to tailor your solutions to business problems in a cross-functional team.
  • Basic understanding of modern machine learning techniques and their mathematical underpinning, such as classification, clustering, optimization, deep neural network and natural language processing.
  • Engineering skills. This is a hybrid research/engineering role. You'll be responsible for productionizing your pipelines/models and integrating against our back-end services.
    • Experience in one or more of the following languages: Python (preferred), Scala (preferred), Java, C++, or other equivalent languages.
    • Experience with large scale data processing is a plus (Hive, Spark preferred)
  • Adaptable. Goals can change fast. You anticipate and react quickly.
  • Autonomous. You own what you work on. You move fast and get things done.
  • Excellent communication. You will need communicate complex ideas effectively to both technical and non-technical audiences, and both verbally and in writing
  • Collaborative. You must work collaboratively in a cross-functional team and with people at all levels in an organization
  • Relevant experience in crypto/blockchain is a plus

Benefits

  • Stock
  • $2,000 yearly coupon for books, conferences, and professional coaching
  • Competitive salary
  • Paid time off
  • Volunteer time off
  • Parental leave
  • Medical, dental, & vision insurance
  • Life & disability coverage
  • 401K
  • Apple equipment
  • Daily lunch and dinner

Why us

We work with the best. TRM is funded Initialized Capital, and Blockchain Capital, the leading blockchain VC firm. Our customers include the world's top digital asset companies.

Strong engineering and product culture. Collectively, we've researched machine learning at Harvard and Stanford, led strategy teams at McKinsey, built data pipelines at Facebook and shipped distributed apps at Amazon and OpenDoor.

Our culture is creative, collaborative, and hypothesis-driven. We focus on creating the best products possible with low ego and high productivity.

TRM Labs is an equal opportunity employer.

Why you should join TRM Labs

Hi! Thanks for checking out TRM Labs.

We prevent fraud and financial crime for crypto. Ultimately, we enable every financial institution to safely transact and hold crypto. Our goal is to empower billions of people in building a safer financial system.

We launched 3 months ago and are already working with some of the world's largest financial institutions, including a top five global bank.

Our team is based in San Francisco though we have teammates around the world in places like Buenos Aires and Paris. Our team comes from McKinsey, Spotify, Facebook, and Amazon. We just graduated from YC and are backed by Initialized Capital (earliest investors in Coinbase) and Blockchain Capital.

Look forward to meeting you!

TRM Labs
Founded:
Team Size:13
Location:San Francisco
Founders
Esteban Castaño
Esteban Castaño
Founder
Rahul Raina
Rahul Raina
Founder