myGwork - LGBTQ+ Business Community · 3 days ago

Machine Learning Engineer II

New York, United States

Full-time

Onsite

Mid Level

$120K/yr - $222K/yr

2+ years exp

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Responsibilities

Architect, build and scale a recommendation system that powers a state of the art personalization experience to users across Max, HBO, Discovery+ and other WBD offerings

Collaborate with other ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale

Lead architecture improvements for our personalization services and infrastructure

Collaborate with data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion

Author, test, review, and optimize production-level code in Python, Go and Java while executing best practices in version control and code integration

Use and build upon open-source cloud computing technologies

Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team

Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

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.

PythonJavaGoAWSGCPAzureSQLRelational DatabasesCI/CDGitHub ActionsJenkinsPerformance TuningProblem-SolvingCommunicationMachine LearningSoftware EngineeringRecommender SystemsML RankingML Retrieval/B TestsHypothesis TestingDistributed Application ArchitectureModern ML Lifecycle

Required

4+ years of programming experience in at least one of the following: Python/Java/Go with ability to rapidly prototype ideas, and refine towards production.

Experience with one of the cloud platforms AWS/GCP/Azure

Understanding of sql and relational databases

Experience with CI/CD tools like GitHub Actions, Jenkins etc.

Experience with design, implementation and performance tuning

Excellent written and verbal communications skills and can present technical topics to large audiences

Advanced degree (M.S.), or equivalent industry experience in software engineering, computer science, machine learning or related fields

Preferred

2+ years of industry experience as a software engineer or machine learning engineer is preferred

Practical knowledge of large scale recommender systems, or large scale ML ranking/retrieval/targeting systems and familiarity with A/B Tests and hypothesis testing is preferred

Knowledge of large-scale distributed application architecture and good practical knowledge in modern machine learning lifecycle is a bonus