Mission Lane is looking to improve its machine learning infrastructure to make efficient and accurate decisions and enable financial progress for its customers.
Requirements
- Good foundation in computer science (data structures, algorithms, design patterns)
- Experience developing and maintaining production ML systems
- Expertise with Python and cloud technology stacks like GCP or AWS
- Experience with established tools (e.g. Spark, Kubernetes, Airflow, MLFlow)
- Experience with emerging tools (like Chalk, BentoML, or DVC)
- Interest in developing ways to train, interpret, and deploy neural network architectures (e.g. LSTM) for time series classification tasks
Responsibilities
- Design, develop, and deploy machine learning systems to solve practical problems
- Partner with business leaders and technical experts to improve feature extraction, model development process, data pipelines, and model serving
- Support data scientists' and analysts' ability to create models and perform analysis
Other
- Partner with business stakeholders to create, refine, and execute new ideas
- Help improve data science workflows
- Work experience, education, certification(s), training, skills, and competencies related to the role
- Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match
- Generous PTO, flexible schedules, a Calm App subscription, and more
- Unlimited paid time off, 401(k) match, a monthly wellness stipend, health/ dental/ vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-friendly work environment
