ML Platform Engineer
$130.2k - $195.3kParamount
#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 EngineerDepartment: Data & Insight GroupLocation: New York City, Los Angeles, San Francisco OverviewWe 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 organizationBasic 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 checkAdditional 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
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: 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: 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 as a result of your disability. You can request reasonable accommodations by calling View phone number on click.appcast.io or by sending an email to View email address on click.appcast.io. Only messages left for this purpose will be returned.- Whatnot is seeking a Core Machine Learning Engineer in Los Angeles to spearhead the... ...The ideal candidate will develop scalable ML design patterns, improve infrastructure reliability... ...proficient in Python, machine learning platforms, and cloud services. Exceptional...Suggested
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