Principal Machine Learning Engineer

Upgrade is a fintech unicorn founded in 2017. We are the fastest-growing company in the Americas (Financial Times). In the last five years, over 15 million people have applied for an Upgrade card or loan, and we have delivered over $10 billion in affordable and responsible credit. Our innovative Upgrade Card is the fastest growing credit card in America (Nilson Report). Combining the flexibility of a credit card with the low cost of an installment loan helps us redefine banking.
Upgrade has been named a “Best Place to Work in the Bay Area” three years in a row, one of the “Top Companies to work for in Arizona”, and we have received awards for being a best company for Diversity, Women, Culture, and Veterans.
We are looking for new team members who get excited about designing and delivering new and better products to join a team of 900 talented and passionate professionals. Come join us if you like to tackle big problems and make a meaningful difference in people's lives.
At Upgrade, the Platform team works horizontally with our different engineering teams. We build tools, services and shared libraries to simplify / abstract / speedup the day to day of our developers. 
Part of the Platform group, the ML team is responsible for our ML initiatives, training and inference services. We work with our decision science team to build and ship models used in our different products.
We are looking for a passionate Machine Learning engineer to help us drive the ML roadmap at Upgrade. Join us!

What You'll Do:

• Implement new ML training and inference services.
• Help build and drive the roadmap for the ML team.
• Augment our model monitoring capabilities.
• Act as a Subject Matter Expert on Machine learning

What We Look For: (Please apply if you only have a few in there!)

• Python Programming.
• You worked on ML teams before.
• You built pipelines on a cloud provider solution (Kubeflow, AWS SageMaker, Azure Machine learning, Google AutoML, etc.).
• Experience with ML Libraries (PyTorch, TensorFlow, XGBoost, Scikit-learn).
• Experience with CI-CD Pipelines.
• Good observability knowledge.
• Kubernetes (nice to have).
• Good communication & empathy skills. You will interact with different stakeholders at Upgrade to help define our vision.
• Bachelor's degree in Computer Science or related field.

What We Offer You:

• Competitive salary and stock option plan. 
• 100% paid coverage of medical, dental and vision insurance. 
• Unlimited vacation. 
• 401(k) company match program.
• Learning stipend for personal growth and development. 
• Paid parental leave.  
• Health and wellness initiatives.

Interested in joining Upgrade but don't think this role is for you? Check out our careers page!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Employee Privacy Notice Effective Date: 1/1/2020Notice to Applicants for Employment, Employees, and Contractors:This California Employee Privacy Notice is intended to provide California consumers who are employed or apply for employment or a contractor position with Upgrade information about the categories of personal information Upgrade collects and how the company uses this information. For any questions about this notice, please contact ccpa@upgrade.com.
Personal Information Upgrade Collects: Identifying information: including name, address, email, telephone number, social security number, driver license number, passport number, and other personal identifying information. Information you provide as a part of a job application or from a background check performed after a job offered is extended, including employment, education, credit, and criminal history. Data on work productivity and performance, including hours worked, electronic network activity, and tasks performed. 
Purposes for Collecting Personal Information: To consider applications for employment. To complete payments, including payroll, expense reimbursement, other compensation-related payments, and the administration of stock options. To administer benefits, including medical, dental, vision, commuter, and retirement benefits. To provide human resources services and conduct performance evaluations. To monitor work eligibility including work-related licenses, credentials, training, and eligibility to work in the United States. To ensure a safe and efficient working environment. To comply with applicable legal or regulatory requirements including state and federal company reporting obligations.