Senior Software Engineer - MLOps (Contract)

Key Skills

Aartificial intelligence, AWS, AWS Sagemaker, Azure, Google Cloud Platform (GCP), GPUs, Kubeflow, Machine learning techniques, MLflow, MLOps tools, Python Programming

Job Description

Truveta is building the leading platform for medical research on one of the largest and most comprehensive clinical data sets in the country. Applying machine learning solutions effectively over heterogenous, untidy data is necessary for significant advances in the field. You will have the opportunity to put the cutting-edge machine learning algorithms devised by our AI research team to work in production scenarios involving terabytes of medical data – doctor’s notes, images, genomics and more.

In this role, you will have the opportunity to: 

• Partner closely with the AI Research team in understanding the requirements of model training and model hosting in secured, private environments 
• Create ML infrastructure building blocks that work on top of the base cloud foundation comprising Kubernetes, microservices, Blob storage, Data Lake services, caching, network links 
• Design access-controlled containerized environments for hosting models and interfacing with the data sources and destinations with telemetry 
• Provision the right resources for the ML tasks – including GPU-assisted nodes. 
• Optimize execution performance of critical ML components to reduce memory and CPU consumption and increase throughput 

The ability to collaborate and communicate across disciplines and teams is important to be successful in this role. Your impact and learning opportunities will expand as Truveta processes more complex data types such as images and genomics and exposes ML model capabilities directly to the customer. 

Key Qualifications 

• 6+ years of software development experience with at least 2 years focused on developing data processing pipelines, ML, and experimentation 
• 2+ years cloud native experience, AWS/Azure/GCP/OCI; knowledge of containerization and Kubernetes strongly preferred 
• Expert in Python 
• Expert in ML workflow and challenges, including model creation, management, deployment, measurement, and experimentation 
• Experience with cloud-native ML approaches. Experience using AWS SageMaker, AzureML, Kubeflow, MLflow strongly preferred 

Why Truveta? 

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together. 

We Offer: 

• Interesting and meaningful work for every career stage 
• The hourly pay for this position is $73-$90 per hour. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here. 

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.