Machine Learning Engineer

Atlanta, GA - USA

Monthly Salary: $ 116000 - 152250

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

THE POSITION
Our roster has an opening with your name on it

Were looking for aMachine Learning Engineerto join our growing team and help design build and deploy machine learning systems that power real-world this role youll work closely with data scientists engineers and product managers to bring models from experimentation to production and ensure they perform reliably at scale.

Youll contribute across the ML lifecycleincluding feature engineering model training evaluation deployment and monitoringwhile growing your skills in software development ML Ops and scalable infrastructure.

If youre excited by this challenge and want to work within a dynamic company then wed love to hear from you.

In addition to the specific responsibilities outlined above employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

ML Pipeline Development

Collaborate with data scientists to implement and optimize machine learning models for production use.
Develop and maintain pipelines for data preparation training and model deployment.
Build tools and services to support real-time and batch inference workloads.

Collaboration & Execution

Translate product and business requirements into ML-driven solutions.
Participate in agile workflows including sprint planning code reviews and design discussions.
Work with engineers and analysts to ensure data integrity and efficient feature computation.

Quality & Reliability

Implement monitoring and alerting to track model performance and detect issues such as data drift.
Write maintainable testable code and follow best practices in version control and documentation.
Help automate training deployment and retraining workflows using ML Ops tools.

THE STACK:DatabricksAWSSpark PythonMLFlow(Generally available ML Libraries) TerraformGithubBuildkite

THE STATS
What were looking for in our next teammate

24 years of experience in software engineering machine learning or data science.
Proficiency in Python with exposure to ML libraries (Scikit-learn TensorFlow orPyTorch).
Solid understanding of data structures algorithms and software engineering principles.
Hands-on with SQL and comfortable working with large datasets.
Familiarity with distributed computing (Apache Spark preferred).
Exposure to ML deployment & monitoring practices or strong interest in learning them.
Bonus: experience with DatabricksMLflow or similar ML Ops tools.
Experience with cloud services (AWS preferred GCP or Azure also valuable).

Preferred Qualifications

Experience with containerization (Docker Kubernetes is a plus).
Familiarity with orchestration/ML Ops tooling (SageMakerMLflow).
Understanding of model evaluation metrics and techniques for improving generalization.
Interest in or experience with real-time ML systems recommendation engines or NLP.

About You

You might be a great fit if you often ask yourself questions like:

How do complex systems actually work end to end and how can I make them better
What makes software reliable and how do you design for that from the start
Wheres the balance between moving fast and building things that last
How do small changes in code or data ripple out into big user or business impacts
What can I automate today that will save everyone headaches tomorrow
How do different roles(engineers data scientists product managers etc.)fit together to ship something meaningful
What skills should I grow next if I want to level up from strong engineer to strong ML engineer

This role will join ourPersonalization team working directly with senior engineers to:

Build and optimize ML pipelines and feedback loops for our flagship recommender systems.
Improve observability monitoring and on-call reliability across models.
Partner with FinOps to optimize Spark jobs and cloud resource usage.
Adopt and integrate AI Foundations platform tools into workflows.

This person will have mentorship from Staff ICs and the opportunity to grow directly contributing to the revenue-driving backbone of the company.

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: Americas #1 Sportsbook FanDuel Sportsbook; its leading iGaming platform FanDuel Casino; the industrys unquestioned leader in horse racing and advance-deposit wagering FanDuel Racing; and its daily fantasy sports product.

In addition FanDuel Group operates FanDuel TV its broadly distributed linear cable television network and FanDuel TV its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states Canada and Puerto Rico.

The company is based in New York with US offices in Los Angeles Atlanta and Jersey City as well as global offices in Canada and Scotland. The companys affiliates have offices worldwide including in Ireland Portugal Romania and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment the worlds largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning mental health support and fitness benefits. We offer generous paid time off (PTO & sick leave) annual bonus and long-term incentive opportunities (based on performance) 401k with up to a 5% match commuter benefits pet insurance and more - check out all our benefits here:FanDuel Total Rewards. *Benefits differ across location role and level.

FanDuel is an equal opportunities employer and we believe as one of our principles states We are One Team!. As such we are committed to equal employment opportunity regardless of race color ethnicity ancestry religion creed sex national origin sexual orientation age citizenship status marital status disability gender identity gender expression veteran status or any other characteristic protected by state local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued respected and included.

The applicable salary range for this position is $116000 - $152250 USD which is dependent on a variety of factors including relevant experience location business needs and market demand. This role may offer the following benefits: medical vision and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation including but not limited to cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please email.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

THE POSITIONOur roster has an opening with your name on itWere looking for aMachine Learning Engineerto join our growing team and help design build and deploy machine learning systems that power real-world this role youll work closely with data scientists engineers and product managers to bring mod...