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Ml Platform Jobs (NOW HIRING)

ML Platform Engineer

Burbank, CA · On-site

$130K - $195K/yr

ML Platform Engineer Department : Data & Insight Group Location: New York City, Los Angeles, San Francisco Overview We are seeking a Senior Data Scientist / Machine Learning Engineer / AI Application ...

ML Platform Engineer

Manhattan, NY · On-site

$130K - $195K/yr

ML Platform Engineer Department : Data & Insight Group Location: New York City, Los Angeles, San Francisco Overview We are seeking a Senior Data Scientist / Machine Learning Engineer / AI Application ...

About the team The ML Platform team at Avride builds the infrastructure that powers large-scale ML training and data processing for autonomous driving. We sit between Cloud Platform and ML engineers ...

ML Platform Engineer

Burbank, CA · On-site

$130K - $195K/yr

ML Platform Engineer Department : Data & Insight Group Location: New York City, Los Angeles, San Francisco Overview We are seeking a Senior Data Scientist / Machine Learning Engineer / AI Application ...

About the team The ML Platform team at Avride builds the infrastructure that powers large-scale ML training and data processing for autonomous driving. We sit between Cloud Platform and ML engineers ...

You will develop MLOps platforms and tools that streamline the ML development lifecycle from data ingestion to model deployment, create robust data pipelines for large-scale data collection, curation ...

ML Platform Engineer

Sunnyvale, CA · On-site

$200K - $300K/yr

ML Platform Engineer / ML Infrastructure Engineer Want to build the systems that determine how quickly frontier AI research moves? The biggest bottleneck in modern AI isn't always the model--it ...

You will develop MLOps platforms and tools that streamline the ML development lifecycle from data ingestion to model deployment, create robust data pipelines for large-scale data collection, curation ...

ML Platform Engineer

San Mateo, CA · On-site

$200K - $300K/yr

ML Platform Engineer / ML Infrastructure Engineer Want to build the systems that determine how quickly frontier AI research moves? The biggest bottleneck in modern AI isn't always the model--it ...

ML Platform Engineer

Alameda, CA · On-site

$200K - $300K/yr

ML Platform Engineer / ML Infrastructure Engineer Want to build the systems that determine how quickly frontier AI research moves? The biggest bottleneck in modern AI isn't always the model--it ...

The AI / ML Platform Engineer will operate within the Digital organization and play a central role in advancing Vertiv's Operational Excellence and Customer Focus & Innovation strategic priorities by ...

ML Platform Engineer

San Francisco, CA · On-site

$200K - $300K/yr

ML Platform Engineer / ML Infrastructure Engineer Want to build the systems that determine how quickly frontier AI research moves? The biggest bottleneck in modern AI isn't always the model--it ...

ML Platform Engineer

Hayward, CA · On-site

$200K - $300K/yr

ML Platform Engineer / ML Infrastructure Engineer Want to build the systems that determine how quickly frontier AI research moves? The biggest bottleneck in modern AI isn't always the model--it ...

ML Platform Engineer

Santa Clara, CA · On-site

$200K - $300K/yr

ML Platform Engineer / ML Infrastructure Engineer Want to build the systems that determine how quickly frontier AI research moves? The biggest bottleneck in modern AI isn't always the model--it ...

ML Platform Engineer

Sonoma, CA · On-site

$200K - $300K/yr

ML Platform Engineer / ML Infrastructure Engineer Want to build the systems that determine how quickly frontier AI research moves? The biggest bottleneck in modern AI isn't always the model--it ...

ML Platform Engineer

San Jose, CA · On-site

$200K - $300K/yr

ML Platform Engineer / ML Infrastructure Engineer Want to build the systems that determine how quickly frontier AI research moves? The biggest bottleneck in modern AI isn't always the model--it ...

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Ml Platform information

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How much do ml platform jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for ml platform in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

What is an ML Platform?

An ML (Machine Learning) Platform is a comprehensive infrastructure or set of tools that supports the end-to-end lifecycle of machine learning projects. It typically provides features for data preparation, model training, experiment tracking, deployment, and monitoring of machine learning models. ML Platforms help streamline workflows, improve collaboration among data scientists and engineers, and enable scalable and reproducible machine learning development. Popular examples include Google AI Platform, AWS SageMaker, and Azure Machine Learning.

What are the key skills and qualifications needed to thrive as an ML Platform Engineer, and why are they important?

To thrive as an ML Platform Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and experience with cloud infrastructure, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Kubernetes, Docker, and cloud platforms such as AWS or GCP, as well as knowledge of CI/CD systems, is typically required. Excellent problem-solving abilities, collaboration, and effective communication are vital soft skills for working across data science, engineering, and product teams. These skills ensure scalable, reliable, and efficient deployment of machine learning models, driving impactful business solutions.

What are some common challenges faced by professionals working on an ML Platform team, and how can they be addressed?

Professionals on an ML Platform team often encounter challenges such as ensuring scalability for diverse model workloads, maintaining cross-team communication, and supporting a variety of frameworks and tools. Addressing these requires strong collaboration with data scientists, software engineers, and infrastructure teams to understand their needs and pain points. Implementing clear documentation, robust monitoring, and automation can also help streamline workflows and reduce bottlenecks, making the platform more reliable and user-friendly.

What is the difference between Ml Platform vs Data Scientist?

AspectML PlatformData Scientist
Required credentialsTypically requires knowledge of cloud services, programming, and ML toolsRequires degrees in data science, statistics, or related fields, with programming skills
Work environmentPrimarily cloud-based, working with ML tools and deployment pipelinesMostly office-based, analyzing data, building models, and interpreting results
Employer and industry usageUsed by tech companies, startups, and enterprises deploying ML solutionsEmployed across industries for data analysis, modeling, and insights

ML Platform professionals focus on deploying, managing, and scaling machine learning models using cloud and software tools. Data Scientists analyze data, develop models, and interpret results. While both roles work with machine learning, ML Platform specialists handle infrastructure and deployment, whereas Data Scientists focus on data analysis and model development.

More about Ml Platform jobs
ML Platform Engineer

ML Platform Engineer

Paramount

Burbank, CA • On-site

$130K - $195K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Paramount Senior Living rating

5.3

Company rating: 5.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

#WeAreParamount on a mission to unleash the power of content... you in?
We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet - now all we're missing is... YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture.

Job Title: ML Platform Engineer
Department: Data & Insight Group
Location:
New York City, Los Angeles, San Francisco

Overview
We are seeking a Senior Data Scientist / Machine Learning Engineer / AI Application Engineer who is excited to deploy MLOps products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience. You will build the foundations of our ML platform that will enable the Data Science team to deploy models at web scale data driving interactions with millions of customers across the globe. Specific projects will include contributing to the models driving Paramount+'s financial forecasts and designing the ML Ops platform that will enable the Data Science team to scale their model deployments. Success in this role requires a solid foundation in Object-Oriented Programming (OOP), comfort writing production-quality code in a collaborative environment, effective communication with Data Science team and stakeholders, and a team player who is excited to design and develop the MLOps deployment that will enable the team to multiply their impact.

Key Responsibilities
Design and implement our greenfield ML platform 10Xing the Data Science team's impact
Work closely with Data Scientists to understand their development needs
Work closely with Stakeholders to understand the business problems driving model deployments and how models can augment their workflows
Assess and integrate cutting-edge software and practices in Data Science and MLOps. 

Refactor disjointed data science scripts and workflows into modular 'skills' that act as procedural knowledge for AI agents, streamlining stakeholder interactions.

Key Projects
Manage deployment and contribute to models driving Paramount+'s global, financial forecasts
Design and implement Paramount's model deployment platform
Design and implement robust monitoring, logging, alerting, and observability of ML deployments
Design and implement UIs the enable a variety of stakeholders to interact with DS models
Drive adoption of best practices for CI / CD workflows tailored to Data Science
Drive adoption of agentic workflows across Data Science and the larger Paramount organization
Basic Qualifications
3+ years experience in Data Science and ML Engineering.
Deep experience developing as a team in Python
Deep experience designing and implementing MLOps platforms in a cloud environment
Deep experience implementing CI/CD workflows that manage model deployments
Experience developing containerized applications
Ability to innovate without over-engineering
Familiarity with well-known statistical and ML models and methods
Strong detail orientation with a penchant for deployment reliability
Must successfully pass a background check
Additional Qualifications
Experience integrating LLMs into existing business processes and creating tools using the Model Context Protocol (MCP).

Experience developing APIs

Experience working at Web scale
Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).
#LI-JC1

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME.

ADDITIONAL INFORMATION

Hiring Salary Range: $130,200.00 - 195,300.00. 

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.  The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable,  as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.  

What We Offer:
  • Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
  • Generous paid time off.
  • An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams.
  • Opportunities for both on-site and virtual engagement events.
  • Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
  • Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.


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