59 applicants

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Company

Original Job Post

FanDuel · 2 days ago

Staff Machine Learning Engineer - Platform

Atlanta, GA

Full-time

Onsite

Senior Level

5+ years exp

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Responsibilities

Building multi-layer serving architectures for ML models

Using business intelligence tools (e.g., Tableau, Knime, Looker)

Implementing data security and privacy standards (e.g., GDPR, CPP)

Establishing data governance and data testing frameworks

Enabling continuous integration and delivery of production data products

Fostering an inclusive culture that prioritizes excellence and growth

Advancing career within skill-based tracks, as an individual contributor or manager

Applying experience and intellect within an autonomous team with end-to-end ownership of data architecture components

Mentoring junior engineers in craftsmanship and operational excellence

Sharing findings through easy-to-consume formats like dashboards or data modeling

Conducting design process reviews and ensuring development standards

Driving adoption of ML solutions to product engineering teams

Designing and building data pipelines for production-level ML infrastructure

Motivating junior engineers on best practices and industry design patterns

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonJavaML models deploymentML frameworksScikit-learnPytorchTensorflowLightGBMKerasSoftware architecture designData structuresSoftware engineering principlesTechnical leadershipFlinkSparkSqoopFlumeKafkaAmazon KinesisData modelingCloud environmentAWSGCPAzureData pipelines designTeamworkCommunicationLeadershipMentoringDatabricks

Required

5-7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)

1+ Years of experience in deploying ML models under the constraints of scalability, correctness, and maintainability.

Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, etc.)

4+ Years of experience designing and building various software architecture.

Deep understanding and knowledge of data structures and software engineering principles

3+ Years of experience demonstrating technical leadership working with teams, owning projects, defining, and setting technical direction for projects.

Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)

Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.

Conduct regular design process reviews and ensure development standards within the team.

Working with leadership to drive adoption of ML solutions to product engineering teams.

Experience working in a cloud environment such as AWS, GCP, Azure.

Designing and building data pipelines for production level ML infrastructure.

Motivate junior engineers on best practices and latest industry design patterns.

Preferred

Experience with Databricks is a plus, their unity catalog, another plus.

Benefits

Paid personal time off

14 paid company holidays

Paid sick time in accordance with state and federal laws

Company

FanDuel

Glassdoor

4.1

FanDuel offers fantasy sports with daily games for real money.

Founded in 2007

New York, New York, USA

1,001-5,000 employees

http://www.fanduel.com

H1B Sponsorship

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