Machine Learning Engineer, Personalization & Recommendation Systems jobs in United States
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Comcast · 21 hours ago

Machine Learning Engineer, Personalization & Recommendation Systems

Comcast is a Fortune 30 global media and technology company, seeking a Machine Learning Engineer to join their Personalization team. The role involves designing, developing, and deploying machine learning models for personalization, as well as collaborating with data scientists and engineers to integrate models into production systems.

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H1B Sponsor Likelynote

Responsibilities

Design, develop, and deploy machine learning models for personalization at scale
Leverage contrastive learning and large language models (LLMs) to improve content recommendations
Contribute to research-driven innovation, such as developing advanced sampling strategies and fine-tuning LLMs for cross-domain performance improvements
Research and implement state-of-the-art algorithms in recommendation systems, NLP, and predictive modeling
Collaborate with data scientists, engineers, and product teams to integrate models into production systems
Optimize model performance and ensure scalability across large datasets
Stay current with advancements in ML and personalization technologies

Qualification

Machine LearningRecommendation SystemsPythonLarge Scale Data ProcessingML FrameworksProblem Solving

Required

Ph.D. in Computer Science, Machine Learning, Statistics, or related field (or equivalent research experience)
Strong background in machine learning, deep learning, and recommendation systems
Proficiency in Python and ML frameworks (TensorFlow, PyTorch, etc.)
Experience with large-scale data processing (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP)
Solid understanding of algorithms, data structures, and software engineering principles
5-7 Years of relevant work experience

Preferred

Experience with personalization systems in media, e-commerce, or streaming platforms
Publications in top-tier ML conferences or journals
Experience applying contrastive learning techniques to improve model representations and performance
Strong understanding of large language models (LLMs) and hands-on experience with fine-tuning for domain adaptation
Ability to design and implement advanced sampling strategies for machine learning tasks
Proven track record of working on personalization and recommendation systems at scale
Familiarity with evaluation methodologies across multiple domains and optimizing models for cross-domain generalization
Familiarity with reinforcement learning or multi-armed bandit approaches

Benefits

Best-in-class Benefits to eligible employees
An array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality

Company

Comcast is a media and technology company that provides broadband internet, mobile services, and entertainment platforms. It is a sub-organization of SkyShowtime.

H1B Sponsorship

Comcast 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
2025 (705)
2024 (561)
2023 (624)
2022 (750)
2021 (588)
2020 (583)

Funding

Current Stage
Public Company
Total Funding
$4.92B
Key Investors
California Public Utilities CommissionMassachussetts Broadband InstituteMaine Connectivity Authority
2025-11-13Grant· $3.2M
2024-07-02Grant· $2.69M
2023-04-24Grant· $0.28M

Leadership Team

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Neil Smit
President and Chief Executive Officer
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Candy Lawson
SVP, Chief Compliance Officer and Senior Deputy General Counsel
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Company data provided by crunchbase