Sqs Data Jobs

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Today

Sr Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology New York, NY

New York, NY

Today

$149k - $199k/yr Full time Senior Ai Ml Artificial Intelligence

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Job Description

Join the News ML team to build and operate machine learning platforms for real-time, personalized news experiences across web, mobile, and connected TV.

Responsibilities

Lead complex ML initiatives end-to-end, covering technical design, production deployment, and operational excellence
Build ML infrastructure that supports the full lifecycle, including data pipelines and workflow orchestration
Develop data discovery and quality tooling, plus feature libraries for downstream ML use cases
Deliver data and ML solutions across engineering needs such as recommendation systems, object detection, autogenerated tagging solutions, and RAGs
Collaborate with product, editorial, and engineering stakeholders to convert business requirements into technical solutions
Prioritize technical workstreams to maximize highest-impact, time-sensitive outcomes
Identify, communicate, and mitigate risks to support successful execution
Advance engineering best practices across code quality, testing, CI/CD, observability, and incident response
Mentor and coach engineers to strengthen ownership, collaboration, and continuous improvement
Contribute to technical documentation and support knowledge sharing across teams

Requirements

Bachelor’s degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience
5+ years building and operating ML engineering systems in production environments
Expertise in data science, deep learning algorithms, or statistical methods for real-world engineering problems
Ability to work across the predictive stack, including data collection, data analysis, feature engineering, batch training, and low-latency online serving
Experience designing and developing backend microservices for large-scale distributed systems using REST
Cloud infrastructure experience, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize)
Familiarity with developing and deploying Spark and ML pipelines
Hands-on experience with big data technologies such as Databricks, Kinesis, and Kafka
Proven leadership, coaching, and mentoring skills, including inspiring and empowering a team toward business goals
Experience with observability tools for metrics, logging, and monitoring such as Datadog
Experience working in Agile/Scrum development environments
Excellent communication skills and commitment to collaboration in a fast-paced, guest-focused environment

Technology

REST
AWS: Step Functions, Lambda, Glue, SQS, SNS, Personalize
Spark
Databricks
Kinesis
Kafka
Datadog
CI/CD
RAGs
Object detection
Recommendation systems

Benefits

Bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits

Location: New York, NY (onsite)

Compensation: USD 148,700 - 199,400 per year

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