775 matching jobs for “Machine Learning Engineer 4”

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Comcast

Machine Learning Engineer-Xumo

CA - Irvine, 5300 California Ave., 4th floor

Full time
Regular

Pay posted by employer$142,651.46–$190,201.94 USD

XUMO is looking for a highly experienced and motivated ML Engineer to solve business problems by designing and training sophisticated machine learning algorithms and …

Added Oct 15, 2026

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Amgen

Senior Machine Learning Engineer

United States - Remote

Full time
Regular

… part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Machine Learning Engineer What you will do Let’s do this. Let’s change the world. As part of the Artificial …

Added Oct 15, 2026

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S&P Global

Machine Learning Engineer II

New York City, New York, United States +1 location

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to …

Added Oct 27, 2026

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Amgen

Senior Machine Learning Engineer

Hyderabad, India

Full time
Regular

… Amgen’s AI & Data for Engineered Biologics team within Large Molecule Discovery is seeking a Software/ML Engineer to help bring predictive models and ML-enabled tools into production for biologics discovery. In this role, …

Added Oct 15, 2026

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Workday

Machine Learning Engineer - HiredScore

Israel, Tel Aviv

… and free up time for meaningful interactions with top talent. We place great value on career growth, learning and collaboration. Employees are our #1 value! We are an agile organization, constantly looking for ways to …

Added Oct 27, 2026

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Cisco Systems

Principal Machine Learning Engineer

Milpitas, California, United States +1 location

Pay posted by employer$296,300–$374,800

… microservices, or enterprise-scale automation systems. Technical Leadership Track Record: Minimum of 4 years serving in a technical leadership capacity (e.g., Principal Engineer, Lead Architect, or Technical …

Added Oct 27, 2026

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General Motors

Sr. Machine Learning Engineer

San Francisco, California, United States

Hybrid
Full time
Regular

Pay posted by employer$174,900–$250,200

… to deliver state-of-the-art ADAS features to our customers. We are looking for an expert Sr. Camera ISP Engineer to join our Autonomous Vehicle team and help us build the best self-autonomous system in the world. In this …

Added Oct 13, 2026

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Amgen

Sr Machine Learning Engineer

Hyderabad, India

Full time
Regular

Sr Machine Learning Engineer ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s …

Added Oct 15, 2026

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Capital One Financial

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)

New York City, New York, United States

… based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, …

Added Oct 27, 2026

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Cisco Systems

Principal Machine Learning Engineer

San Jose, California, United States

Pay posted by employer$296,300–$374,800

… Our work spans classical ML, domain-specific language models, and Agentic AI. Your Impact As a Principal Machine Learning Engineer on Cisco’s CX AI Incubation and Agents team, you tackle ambiguous, high-impact challenges …

Added Oct 27, 2026

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Capital One Financial

Machine Learning Engineer 5 (IC)

New York City, New York, United States +4 locations

… like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, …

Added Oct 28, 2026

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Capital One Financial

Senior Manager, Machine Learning Engineer

McLean, Virginia, United States +4 locations

Added Oct 27, 2026

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Walt Disney

Senior Machine Learning Engineer - ESPN

Glendale, California, United States +2 locations

Full time
Regular

… real‑time processing platforms that power next‑generation personalization and live sports experiences. As a Machine Learning Engineer, you will focus on building and operating distributed data and ML infrastructure that …

Added Oct 27, 2026

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S&P Global

Machine Learning Operations Engineer I

Cambridge, Massachusetts, United States +1 location

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to …

Added Oct 27, 2026

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General Motors

Staff Software Engineer - Machine Learning

Remote - United States

Hybrid
Full time
Regular

Pay posted by employer$144,700–$284,100

… bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies . The Smart Agents group work closely with the rest of the Simulation, and our partners …

Added Oct 12, 2026

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Capital One Financial

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

New York City, New York, United States +4 locations 2 postings

… based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for …

Added Oct 27, 2026

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The Cigna Group

Machine Learning Associate Advisor

Hyderabad, India

Full time
Regular

… libraries (e.g., PyTorch, TensorFlow) 5+ years of experience working with large language models (e.g., GPT-4, Claude) Familiarity with RAG systems and related technologies Experience with graph databases (e.g., …

Added Oct 16, 2026

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Cisco Systems

Principal Machine Learning Developer

Calgary, Canada

Pay posted by employer$228,700–$289,000

… and access signals, vulnerability intelligence, or cloud security operations Experience with multimodal learning, world models, graph ML, causal inference, RAG, or time-series modeling Strong product mindset, connecting …

Added Oct 27, 2026

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Nvidia

Senior DFX Software Engineer - Machine Learning

US, CA, Santa Clara

We are now looking for a Senior DFX Software Engineer - Machine Learning. Do you like to think creatively and enjoy solving challenges that require innovation? …

Added Oct 27, 2026

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Johnson & Johnson

Senior Machine Learning Engineer, Biologics Discovery

Spring House, Pennsylvania, United States of America +4 locations

Full time
Regular

Pay posted by employer$109,000–$174,800

… About the Opportunity Johnson & Johnson Innovative Medicine is seeking a Senior ML Engineer for our Biologics Discovery Data Science team. This role builds and operates the integration, deployment, …

Added Oct 15, 2026

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Comcast

Machine Learning Engineer-Xumo

CA - Irvine, 5300 California Ave., 4th floor

Full time
Regular

Pay posted by employer$142,651.46–$190,201.94 USD

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Qualifications · employer excerpt

3+ years’ experience of using statistical computer languages (Python, R , etc.)
3+ years’ experience of manipulating big data (Big Query, etc.)
3+ years’ experience of operating database (MySQL, PostgreSQL, Oracle, MongoDB)
Experienced and has knowledge of developing variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experienced and has knowledge of developing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

6 more in the full description below.

About this opportunity

Original employer description

Xumo, a joint venture between Comcast and Charter Communications, was formed to develop and offer a next-generation streaming platform for the entire entertainment industry. The company consists of three primary lines of business: Xumo devices, Xumo Play, and Xumo Enterprise. Powered by Comcast’s global entertainment platform, Xumo devices feature a world-class user interface with universal voice search capabilities, making it easy for consumers to find and enjoy their favorite streaming content. Xumo Play is a free ad-supported streaming TV (FAST) service offering hundreds of linear channels and on-demand options. Xumo Enterprise provides tools and services for content creators, distributors, and advertisers to make FAST content more accessible.

Job Summary

XUMO is looking for a highly experienced and motivated ML Engineer to solve business problems by designing and training sophisticated machine learning algorithms and implementing our core recommendation system, which will collaborate with multiple systems to increase product engagement.

As the ML Engineer for the XUMO Software Engineering Team, you’ll develop complex predictive models using huge amounts of data, create scalable algorithmic solutions to solve business problems, and work with team members to architect and lead the development of the recommendation engine's intelligence. Utilizing tools like Python, BigQuery, and modern ML frameworks, you will build the personalization algorithms that immerse millions of viewers through streaming devices. To succeed in this role, it is necessary to continuously provide clear technical solutions and algorithmic strategies which satisfy the business requirements from the product and operation teams.

This job focuses on developing machine learning algorithms for products, training models, and deployment. It involves data pipeline management, technical documentation, and innovation via patents and APIs. The role evaluates ML solutions, conducts case studies, and designs proofs of concept. Team collaboration and junior engineer mentorship are key components.

Job Description

Position Duties:

Analyze big data to drive algorithmic insights

Collaborate with the data team to analyze massive datasets, extracting key user behavioral features and defining quantitative metrics to evaluate model performance.
Engineer high-quality feature sets and training data schemas optimized specifically for training and serving recommendation algorithms.
Design and execute rigorous offline model evaluations and online A/B tests, generating deep insights on algorithmic performance against established baselines and benchmarks.

Development of Recommendation System

Collaborate with product and operations teams to translate business requirements into algorithmic solutions, documenting model architectures and logic to align development tasks.
Rapidly prototype new recommendation concepts and algorithms, validating mathematical approaches and transitioning experimental models into high-quality, production-ready code.
Develop the core intelligence of the recommendation system, focusing on implementing, tuning, and scaling advanced machine learning models and the logic for multi-algorithm A/B testing.

Plan and manage recommendation algorithm development

Collaborate with backend and client engineering teams to integrate machine learning models seamlessly, prioritizing algorithmic enhancements and defining the optimal approaches for model serving and latency reduction.
Create comprehensive technical documentation detailing algorithmic behavior, model dependencies, and the specifications required for other systems to interact with the recommendation engine.
Drive strategic decisions regarding model selection, hyperparameter optimization, and feature engineering to solve complex business problems, continuously improving the user experience through highly personalized content delivery.

Qualifications

3+ years’ experience of using statistical computer languages (Python, R , etc.)
3+ years’ experience of manipulating big data (Big Query, etc.)
3+ years’ experience of operating database (MySQL, PostgreSQL, Oracle, MongoDB)
Experienced and has knowledge of developing variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experienced and has knowledge of developing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Strong problem-solving skill with an emphasis on product development
Excellent written, drawing, and verbal communication skills for coordinating across teams.
Strong leads with designing, implementation skills to approach the solution for any new features or problem solving
Self-starter to able to work with minimal supervision for high-quality output
Aggressive learner for new technologies and techniques.
Position is office based in Irvine, CA 4 days/week in office & 1 day remote.

Desirable Experiences

Experience with operating servers on cloud-based environments (Google Cloud, AWS, Azure)
Experience with data processing framework (Spark)
Experience with working with Linux-based operation system (CentOS, OSX)
Experience developing scalable and highly available applications
Experience with recommendation services

Responsibilities:

Developing and enhancing machine learning algorithms for product and application integration, working with specifications and data pipeline architectures
Leading the training of machine learning models, overseeing their validation and deployment into production systems
Creating and maintaining data pipelines, ensuring efficient data ingestion, validation, cleaning, and monitoring processes
Authoring comprehensive documentation and technical requirements, including evaluation plans, white papers, and reports
Contributing to the creation of patents, Application Programming Interfaces (APIs), and other intellectual property
Evaluating machine learning solutions from internal and external partners, leading testing and assessment initiatives
Conducting in-depth case studies and compile findings to inform product development and testing strategies
Designing and developing proof of concept solutions, directing studies that support the advancement of future products or applications
Collaborating with cross-functional teams and provide technical solutions to complex issues associated with assigned projects
Offering guidance and mentorship to junior engineers, setting a technical example within the team
Consistent exercise of independent judgment and discretion in matters of significance.
Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
Other duties and responsibilities as assigned.

Employees at all levels are expected to:

Understand our Operating Principles; make them the guidelines for how you do your job.
Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
Win as a team make big things happen by working together and being open to new ideas.
Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
Drive results and growth.
Support a culture of inclusion in how you work and lead.
Do what's right for each other, our customers, investors and our communities.

Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Algorithms, Business Problems, Collaboration, Recommendation Engines

Compensation

Pay Range: This job can be performed in California with a good faith estimated pay range upon hire of $142,651.46 - $190,201.94 USD.

Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

5-7 Years

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Why this result? · Employer labels

Keywords also found in description

Full time
Information Technology
Regular

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.