Staff Software Engineer, Machine Learning
3 days ago
Welcome to Warner Bros. Discovery… the stuff dreams are made of.
Who We Are…
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the
storytellers
bringing our characters to life, the
creators
bringing them to your living rooms and the
dreamers
creating what's next…
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
About You
We're
looking for a
**Staff Software Engineer for our
MLOps
Platform**
to join
the AI/ML organization, focusing on supporting applications of AI to video
. In this role, you will help build a robust, scalable platform that enables the training, deployment, and observability of machine learning models for video understanding and
classifications
. You will drive platform architecture, lead critical components, and work across teams to
establish
engineering excellence in the ML infrastructure layer.
Roles & Responsibilities
- Design and lead the development of core components of the
machine learning
platform with a focus on scalability, reliability, and cloud-agnostic principles
Build APIs and microservices that power end-to-end machine learning workflows, including model deployment, orchestration, and observability
Collaborate with content protection and security teams to ensure robust access controls and compliance
Own cloud infrastructure and CI/CD automation using Infrastructure-as-Code (
IaC
) principles
Champion engineering excellence through well-tested code, clear documentation, and continuous improvement of development and deployment practices.
Establish and enforce best practices in testing, code quality, and monitoring for ML pipeline components
Work closely with Video
AI engineers and product managers
to support evolving use cases like scene segmentation, video annotation, clip generation, and metadata enrichment
What to Bring
7+ years of software engineering experience building scalable backend systems
Deep experience with cloud platforms (AWS, GCP); ability to design for cloud-agnostic deployment
Experience working with production deployment of machine learning systems
Proficiency
in Python and Go, with strong software design and architecture skills
- Proven experience implementing and managing CI/CD workflows and
IaC
with tools like Terraform or CloudFormation
Familiarity with Agile development practices and a strong operational mindset
Experience in building and
maintaining
observability stacks (e.g., Prometheus, Grafana,
OpenTelemetry
)
- Strong understanding of media processing and video engineering concepts including transcoding, segmentation, and frame manipulation
, using libraries such as FFMPEG, OpenCV, and
Demux
- Experience collaborating in a cross-functional team and setting engineering standards at scale
How We Get Things Done…
This last bit is probably the most important Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at
along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our
accessibility page
for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $145, $270,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
-
Staff Machine Learning Engineer
5 days ago
San Francisco, California, United States Pivotal Solutions Full timeResponsibilitiesCollaborate with global teams to deliver high -impact data products for worldwide deployment.Develop and maintain ML pipelines to optimize critical processes for global lending products, including anti -fraud systems, credit strategy, and marketing optimization.Enhance and maintain scalable machine learning infrastructure to support robust...
-
San Francisco, California, United States Discord Full timeDiscord is used by over 200 million people every month for many different reasons, but there's one thing that nearly everyone does on our platform:play video games.Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming....
-
Machine Learning Engineer
3 days ago
San Francisco, California, United States Delty Full timeAbout UsDelty is building the healthcare's AI operating system. We create voice-based and computer-based assistants that streamline clinical workflows, reduce administrative burden, and help providers focus on patient care. Our system learns from real healthcare environments to deliver reliable, context-aware support that improves efficiency and elevates the...
-
Staff Machine Learning Engineer
2 weeks ago
San Francisco, California, United States Scribe Full time $200,000 - $250,000 per yeartl;dr - We're looking for a highly motivated and skilled Staff Machine Learning Engineer to build the future of AI productivity software. You will lead high-impact research and development, drive our core AI technical strategy, pioneer the deployment of robust and scalable state-of-the-art models — see our work on ScribeAgenthere —to millions of users,...
-
Senior Machine Learning Engineer
1 day ago
San Francisco, California, United States Taskrabbit Full time $148,000 - $200,000About Taskrabbit:Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more.At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative,...
-
Machine Learning Engineer
2 weeks ago
San Francisco, California, United States Ema Full time $135,000 - $200,000 per yearWho We AreEma is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We've raised capital from notable...
-
Software Engineer, Machine Learning
23 hours ago
San Francisco, California, United States Cisco Full timeWho We Are Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and...
-
Senior Software Engineer, Machine Learning
2 weeks ago
San Francisco, California, United States Verse Full timeLocation: San Francisco, CA (Remote/Hybrid Available)What is Verse? Organizations today are under growing pressure to navigate the transition to clean energy — not just to meet sustainability goals, but to manage risk, control costs, and build long-term resilience. Yet the complexity of energy markets and a lack of accessible tools have made it difficult...
-
San Francisco, California, United States Deft Robotics Full timeAbout UsOur mission is to build the world's first labor agency that deploys dexterous robots as its primary workforce.We start by deploying wheeled humanoid robots in industrial manufacturing and assembly lines.You'll be joining a team of extremely hardcore and self-motivated engineers, scientists, and operators who focus on winning 24/7.As a founding member...
-
Senior Staff Machine Learning Engineer
2 weeks ago
San Francisco, California, United States Patreon Full time $120,000 - $250,000 per yearPatreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time...