Staff Software Engineer, Machine Learning

Save to Kiter
What Conviva is looking for in applicants

Have you streamed a program on Disney+, caught the latest binge-worthy series on Hulu, or tuned in for NFL highlights on social media? If the answer is yes, you have already benefitted from Conviva’s technology.

At Conviva, we create the technologies and standards driving industry transformation and streaming growth worldwide. It’s not about the data, it’s about what you do with it. As the leader in census, continuous measurement and engagement for streaming, Conviva measures in excess of 500 million unique viewers watching 200 billion streams per year with 3 trillion real-time transactions per day across more than 180 countries. Our platform is designed to deliver the insights our customers need to understand their business and focus on what matters. Join us as we make streaming better.

As a staff ML engineer, you are a technical expert in dealing with terabytes of data and develop machine learning systems. You will use the latest techniques to solve challenging problems in the video streaming industry, such as anomaly detection and root cause analysis in QoE metrics at real time, online viewership forecasting, and QoE optimization. You will lead major initiatives in technology innovation and advancement, lead and contribute to the design and implementation of major new products and features with high quality in production that will have big business impact for years to come. You will also work across teams and organizations, help in establishing technical standards and driving the overall technical architecture and best engineering practices through design reviews, architecture discussions and other technical leader activities.

What you get to do:

  • Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
  • Implement end-to-end solutions for real-time and batch algorithms along with tooling around monitoring, logging, automated testing, performance testing and A/B testing.
  • Serve as a technical lead on our most demanding projects that requires big data and ML knowledge and experiences.
  • Contribute to and promote good software engineering practices across team.

What do you bring to the role:

  • 5+ years of industry experience in software development.
  • 3+ years of experience with big data frameworks, such as Spark, Flink, Hadoop/Hive, etc.
  • 2+ years of experience with designing, building, and deploying machine learning models and pipelines with high scalability and performance.
  • Good understanding of ML algorithms.
  • Strong programming skills in Scala, Java, Python, or similar language.
  • Proven track records in leading the delivery of statistical models and ML algorithms for solving real customer use cases with significant business impact.
  • Comfortable with ambiguity.
  • Comfortable with fast paced work environment.


Conviva is the leader in streaming media intelligence, powered by its real-time platform. More than 250 industry leaders and brands – including CBS, CCTV, Cirque Du Soleil, DAZN, Disney+, HBO, Hulu, Sky, Sling TV, TED, Univision, and WarnerMedia – rely on Conviva to maximize their consumer engagement, deliver the quality experiences viewers expect and drive revenue growth. With a global footprint of more than 500 million unique viewers watching 150 billion streams per year across 3 billion applications streaming on devices, Conviva offers streaming providers unmatched scale for continuous video measurement, intelligence and benchmarking across every stream, every screen, every second. Conviva is privately held and headquartered in Silicon Valley, California, with offices around the world. For more information, please visit us at

Want some tips on how to get an interview at Conviva?

What is Conviva looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
What are interviews for Staff Software Engineer like?
Interview processes vary by company, role and team. The best plan is to see what others have experienced and then plan accordingly.
How to land an interview at Staff Software Engineer?
A great first step is organizing your path to an offer. Check out Kiter for tools to get started!