Senior Software Engineer, Machine Learning – Simulations Platform
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Job Description
Senior Software Engineer at Upstart developing MLOps platform for machine learning model deployment and simulations. Collaborating across teams to enhance infrastructure and support rapid innovations.
Responsibilities:
- Build, maintain, and optimize Upstart’s next-generation machine learning and simulation platform, enabling increased scale, performance, and confidence in decisioning
- Develop high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business
- Enable the modernization of our serving infrastructure, reducing inference latency to just a few seconds for our most complex models
- Design and contribute to our simulation systems to more accurately reflect production environments, reducing simulation cost and enabling broader usage across teams
- Communicate closely with cross-functional partners from ML, Engineering, Product, and Data Engineering teams, keeping all stakeholders informed
- Mentor engineers across the team, sharing expertise on distributed systems, MLOps, and scalable architecture
Requirements:
- 6+ years of software engineering experience including several building and contributing to in-house Machine Learning Platforms
- Experience building and maintaining backend software services and APIs
- Proficiency with some or many of the following: Python, Kotlin, Databricks, and AWS
- Exhibits a growth mindset - you’re not afraid to pick up new technologies that are best for the task, and learn from others.
- Ability to quickly comprehend and reiterate complex requirements from product or engineering leadership and translate those to both technical and non-technical stakeholders
- Track record of successfully mentoring and developing other engineers around you while seeking out and appreciating constructive feedback
- Familiarity with model serving technologies like Ray, simulation platforms, experimentation frameworks
- Proficiency with Flask, FastAPI, Metaflow, MLflow, gRPC, Kafka, Spark/PySpark, ETL/ELT, Redshift (or similar)
- Excellent quantitative reasoning skills with interest in working at the intersection of engineering and machine learning
- Strong sense of ownership and accountability for the quality and timely delivery of work
- Proven ability to effectively analyze and solve complex problems
- Excellent written and verbal communication skills with stakeholders, peers and product owners
- Ability to thrive both in self-directed work environments and in collaborative settings, contributing positively to team dynamic
Benefits:
- Competitive Compensation (base + bonus & equity)
- Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
- 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
- Employee Stock Purchase Plan (ESPP)
- Life and disability insurance
- Generous holiday, vacation, sick and safety leave
- Supportive parental, family care, and military leave programs
- Annual wellness, technology & ergonomic reimbursement programs
- Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
- Catered lunches + snacks & drinks when working in offices
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