Senior Applied Machine Learning Engineer

About the Team 

The Advanced Development team pushes the boundaries beyond product lines to build genuinely new things. We think independent of standard shipping cadences and timelines, working on foundational technologies that could impact every Roku device in the future and on ideas that no one’s seen in their living room. 

Because this is an exceptional team, we are seeking exceptional talent. Everyone here is an expert but without the myopia of over-specialization. They have the technical expertise to let them see the bigger picture but can still go deep into the minutia, pushing back against convention and building something singular and new. They foster a strong sense of collaboration and trust with little room for drama. Together, this is a team of people who love to make decisions and own those decisions. 

Looking for an Applied Scientist, someone who has a strong applied science background – Math, ML, Computer Science – along with Software Engineering experience, specifically cloud engineering, infrastructure as code, DevOps, and computer vision experience.  

 

About the Role 

As a Senior Applied Machine Learning Engineer, you are willing to contribute wherever needed to get our products out the door. Any company growing at scale thrives on its ability to continuously innovate on new products and features. You will be hands-on and responsible for the full model development life cycle and the full software development life cycle of cloud backend software. In this role, you will contribute extensively to our machine learning infrastructure, cloud architecture, platform integrations, code maintenance, QA efforts and everything else involved in our end-to-end product development and release cycles. 

 

What you’ll be doing 

• Deploying scalable, fault tolerant computer vision and machine learning systems to production 
• Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations
• Designing uncertainty metrics and communicating results to a mix of technical and non-technical stakeholders
• Gathering/compiling datasets, defining annotation ontologies, auditing the work of annotation operations, and taking responsibility for data quality
• Staying up to date with industry/academic trends in computer vision and machine learning 
• Working closely with product and other engineering teams to implement new experiences and cloud services
• Integrating services from other teams around the company, while also providing services to other teams 
• Evaluate and provide feedback on new platform technologies provided by other teams
• Working with QA teams to address bugs and aid in automation of software as needed

 

We’re Excited If You Have 

• Masters degree (PhD preferred) in the area of computer science or related field
• At least five years of experience developing production applied machine learning systems using frameworks such as PyTorch or Tensorflow
• At least two years of research or equivalent industry experience with state-of-the-art Image Processing, Computer Vision, or Natural Language Processing
• Comfortable using cloud services for storing data, training and serving models from providers such as AWS, GCP, or Azure
• Experience evaluating models and communicating findings
• Experience building APIs with frameworks such as GraphQL or REST
• Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow
• We're especially excited if you have experience with Docker / Kubernetes. IaC tools (Terraform, CloudFormation), Model Serving, C++, CUDA, CI/CD Automation, Python build/packaging tools

#LI-PA1

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Last updated on Aug 23, 2024