Machine Learning Engineer

Reposted 7 Days Ago
2 Locations
Remote
Senior level
Sports
The Role
The Senior Machine Learning Engineer will develop low latency ML inference systems, build tools to enhance model building, write high-performance application code, analyze model performance, mentor junior engineers, and lead code reviews while implementing emerging ML technologies.
Summary Generated by Built In
Hi, we’re Underdog!

We’re the fastest-growing sports gaming company ever.

We build innovative games and products for American sports fans.

Founded in 2020, our team built four of today’s most widely played fantasy games and recently launched our Underdog Sportsbook. We are the only sportsbook to ever launch on our own home grown technology, which allows us to build different and innovative experiences. We believe there’s so much more to be built for sports fans, and we’ll continue to win by building the best products and experiences for our customers.

The opportunity in front of us to become the biggest company in our space is massive; after all, we’re currently sitting in the fastest-growing consumer industry in the U.S. In just over two years, we reached a nearly $500 million valuation through some of the best investors in the game, including Mark Cuban, Kevin Durant, BlackRock, and SV Angel. We are many times larger now and our growth is not slowing down.

At Underdog, we believe that sports are for everyone and are building a tomorrow for every fan. Want to help create that future? Join us.

About the role and why it’s unique:

  • As a ML Engineer on the Data Platform team, you’ll be developing and deploying advanced machine learning models and algorithms on a cloud environment
  • Implement end-to-end machine learning pipelines, starting from data collection, feature engineering, model training, evaluation, to deployment
  • Build frameworks to measure model performance and accuracy in production environments, leveraging techniques such as parameter tuning and model optimization
  • Implement and maintain monitoring, alerting, and logging mechanisms to ensure the health and accuracy of Underdog’s ML systems
  • Utilize your understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble methods, to build production systems
  • Work closely with engineering and product teams to ensure seamless integration of machine learning services into Underdog’s data platform
  • Collaborate with the data science and quant teams to deploy ML models into production systems
  • Mentor junior engineers, lead technical initiatives, and drive results in a fast-paced, dynamic environment
  • Lead code reviews, provide constructive feedback, and evangelize best practices to maintain code and data quality
  • Research and keep up to date on emerging ML technologies and trends and focus on iteratively implementing them into Underdog’s engineering systems

Who you are:

  • At least 4 years of experience building scalable ML model training and inference systems on a cloud environment (e.g. AWS, GCP, Azure)
  • Highly focused on delivering results for internal and external stakeholders in a fast-paced, entrepreneurial environment
  • Excellent leadership and communication skills with ability to influence and collaborate with stakeholders
  • Prior experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, and/or scikit-learn
  • Familiarity with containerization and orchestration technologies such as Docker, Kubernetes, or ECS
  • Experience with data streaming frameworks such as Apache Kafka, Apache Flink, or Kinesis
  • Advanced proficiency with C++ and Python
  • Advanced proficiency with SQL
  • Experience with DevOps practices such as CI/CD pipelines, and infrastructure-as-code tools (e.g. Terraform, CDK)

Even better if you have:

  • Strong interest in sports
  • Prior experience in the sports betting industry
  • Experience in building simulation or inference systems


Our targeted compensation rate for this position is between $135,000 and $150,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate.

What we can offer you:

  • Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
  • 16 weeks of fully paid parental leave
  • A $500 home office allowance
  • A connected virtual first culture with a highly engaged distributed workforce
  • 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents

#LI-REMOTE

This position may require sports betting licensure based on certain state regulations.

Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.

Top Skills

Apache Flink
Apache Kafka
AWS
Azure
C
C++
Databricks
Docker
Ecs
GCP
Go
Kinesis
Kubernetes
Machine Learning
Rust
Sagemaker
SQL
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The Company
HQ: Brooklyn, NY
120 Employees
Hybrid Workplace
Year Founded: 2020

What We Do

Underdog Fantasy is one of the fastest-growing sports companies on the market. Founded by a team of industry veterans, Underdog is bringing fun, approachable contests and games to the masses. We’re looking to innovate an already exciting space and provide the best possible experience to our enthusiastic users.

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