Machine Learning Engineer
Underdog Fantasy
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $135,000 - $165,000 per year
Job Level
Mid-LevelSenior
Tech Stack
CloudPythonSparkSQL
About the role
- As a Machine Learning Engineer on the Data Engineering team, you’ll partner closely with the Data Science team to build out our foundational Machine Learning platform
- Build internal tools and services to accelerate UD’s model building and deployment process
- Build frameworks to measure and analyze model performance and accuracy in production environments
- 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
- Keep up to date on emerging ML technologies and trends and focus on iteratively implementing them into Underdog’s engineering systems
Requirements
- At least 3 years of experience with model lifecycle (optimization, training and serving) in a cloud environment
- Advanced proficiency with Python and SQL
- Experience with with big data tools including Spark, Flink, Databricks, Snowflake, S3
- Strong proficiency with SageMaker, Vertex AI, Databricks, Kubeflow and/or comparable ML platforms or technologies
- Experience building recommendation systems
- Highly focused on delivering results for the Data Science team in a fast-paced, entrepreneurial environment
Benefits
- Unlimited PTO for full-time employees (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
- 16 weeks of fully paid parental leave
- Home office stipend
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLmodel lifecycleoptimizationtrainingservingrecommendation systems
Soft skills
leadershipcommunicationcollaborationfeedbackresults-oriented