Be an early applicantLess than 25 applicants

Company

NBCUniversal · 8 hours ago

Machine Learning Engineer

Englewood Cliffs, NJ

Full-time

Remote

Senior Level, Lead/Staff

$130K/yr - $170K/yr

8+ years exp

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BroadcastingMedia and Entertainment

H1B Sponsor Likely

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Responsibilities

Drive end-to-end MLOps development to create scalable production ML pipelines (e.g., feature creation, training, and inference) for various lines-of-business, inclusive of Consumer, Film, Streaming, and Ad Sales. These automated products will aid in the timely decision-making process for marketing, strategy, and targeted advertising

Establish best practices for engineering, monitoring, operationalizing, and improving automated ML models and APIs, with consideration for the levels of user expertise, cloud ecosystem capabilities, and transferrable standards

Lead the prototype, architecture, and selection of ML and Data Science platforms, cognizant of the varied levels of user expertise, technical capabilities, and trends

Partner closely with business, product owners, engineering, and data science teams to implement design patterns that optimize performance, cost, security, and scale, and that complement company-wide architectural standards

Support advanced analytics efforts and deep-dive analysis to answer specific business questions, and develop augmented-analysis tools to enable efficient business decisions

Mentor and guide engineering and data science peers in building a comprehensive set of tools, knowledge, and standards that can be democratized across the organization

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.

Machine LearningMLOpsSQLPythonApplied StatisticsDeep LearningNLPAWSGCPAzureSnowflakeDatabricksSparkAirflowData EngineeringAgile PrinciplesCI/CD PrinciplesBusiness Acumen

Required

Strong understanding of applied statistics and machine learning algorithms, experience in methodologies for regression, classification, clustering, and causality

8+ years of data science experience, with demonstrated proficiency using SQL and Python in building analytical solutions

3+ years of experience building production-deployed, well-monitored MLOps solutions to solve business problems, with particular preference for the media industry

Experience in AutoML, NLP, and Deep Learning frameworks that enrich MLOps efficacy

Intimate familiarity with ML architectures (e.g., MLflow) and workflows on the cloud (i.e., AWS, GCP, Azure)

Hands-on experience with Snowflake, Databricks, Spark, Airflow, or related cloud-based big-data storage and orchestration technologies

Bachelor's/Master’s degree – or equivalence with experience – in Computer Science, Data/Decision Science, Data Engineering, Quantitative Economics, or Mathematics

Preferred

Direct experience working with media/entertainment and ad sales datasets and platforms is a plus – Nielsen, comScore, FreeWheel, mParticle, and Salesforce

Ability to report and demonstrate model-development progress to stakeholders by visualizing results and communicating plans, benchmarks, and improvements

Strong understanding of Agile principles and best practices, including CI/CD principles

Comfortable with ambiguity and making decisions in a dynamic, fast-paced environment

Excellent verbal and written skills with the ability to communicate data stories effectively across all levels of the organization, both technical and non-technical

Benefits

Medical, dental and vision insurance

401(k)

Paid leave

Tuition reimbursement

A variety of other discounts and perks

Company

NBCUniversal

Glassdoor

4.0

NBCUniversal is a media company that provides entertainment and news development, production, distribution, and marketing services. It is a sub-organization of Comcast.

Founded in 1912

New York, New York, USA

10,001+ employees

https://www.nbcuniversal.com/

H1B Sponsorship

NBCUniversal has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (32)

2022 (87)

2021 (44)

2020 (50)