Sr Staff Machine Learning Engineer

If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology. We empower the world's leading B2C companies, including the biggest names in streaming media, to deliver exceptional digital experiences and optimize the "moments that matter" to their customers and their business. As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Our platform does what legacy observability and monitoring tools can't: we eliminate the gaps between system performance, user experience, and engagement, enabling issue identification, impact assessment, and root cause resolution in seconds. This isn't just important, its game-changing! Our platform processes over 5 trillion daily events, providing real-time, cost-effective, stateful computation across diverse data sets. This empowers operations teams for the first time to precisely and directly impact real-world business outcomes, including customer satisfaction and revenue.

It's a new team at Conviva. You will play a critical role in shaping the team culture. You will delve into a diverse array of ML technologies to drive innovative customer experiences. Collaborating closely with vertical teams, you will design and integrate ML techniques into product features. Additionally, you will collaborate with teammates and platform teams to develop ML tooling and infrastructure for scalability. Your projects will entail a balanced mix of research and exploration, product integration, and infrastructure/data.

Why You're Excited About This Opportunity:

• Design, construct, support, and integrate ML applications directly influencing user experience and company growth.

• Explore diverse ML technologies, expanding your technical expertise.

• Operate in a relatively small team, taking ownership of projects from inception leveraging your industry experience.

• You will play a critical role in fostering team culture and ML Eng best practices.

• Mentor early-career/mid-career ML engineers.

What Success Will Look Like:

• Being the leader. Being proactive and always pushing to improve what is existing: infra, architecture, tools, processes, team culture, etc

• Setting examples for less-senior engineers and mentoring engineers via code review, design review, etc

• Possessing a passion and curiosity for data

• Demonstrating a rapid learning and adaptation mindset, embracing the role of a full-stack ML engineer with a broad scope encompassing data exploration, processing, model implementation, and server integration

• Approaching novel problems with an open mind, leveraging the experience of yours and others, knowing when to seek assistance, and stretching your comfort zone

• Taking ownership of your work, and partnering with cross-functional peers to ensure proper project scoping and implementation

Who You Are & What You've Done:

• 10+ years of industry experience in software development

• 6+ years of Industry experience working with end-to-end ML Systems in a production environment, which includes but is not limited to data pipeline, feature engineering, model serving, monitoring, MLOps, etc

• 3+ years of experience with big data frameworks, such as Spark, Flink, Hadoop/Hive, etc.

• Strong programming skills in at least one modern programming language (Python, Java, Scala, etc.)

What Additional Experience Makes A Strong Candidate:

• 4+ years of production experience with Scala

• 4+ years of production experience with Micro Services / Streaming Services

• Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining

• Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.)

The expected salary range for this full-time position is $220,000 - $275,000 + equity + benefits. Compensation and your actual level are determined by numerous factors such as your qualifications, experience, relevant education or training, and work location.

Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like Time-State analytics and AI-automated data modeling, that surface actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their business ahead of the competition. Examples of the brands Conviva has helped innovate, adapt, and scale at unprecedented speed include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery.

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets!