Senior Software Engineer - Machine Learning Platform
Upstart · United States | Remote
Posted 20 days ago
or apply directly on Upstart's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 20 days Upstart's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Upstart's roles list one
- Ghost-job risk at Upstart
- high 61 stale, 5 reposted of 93 open
- Hiring momentum
- 135 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Upstart's own greenhouse board since 2026-08-03. Full hiring picture for Upstart.
About this role
As a Senior Software Engineer on the Machine Learning and Simulations Platform team at Upstart, you will build and maintain an MLOps platform that supports machine learning model inference and deployment. Your role involves developing high-quality software applications, creating self-service tools for ML teams, and enhancing simulation systems to reflect production environments accurately. You will collaborate closely with cross-functional teams and mentor other engineers, contributing to the overall innovation and efficiency of Upstart's machine learning capabilities.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Upstart as an employer.
What you need
- 6+ years of software engineering experience
- Experience building and maintaining backend software services and APIs
- Experience with distributed systems or large scale data processing, using Spark, Databricks, Ray, or an equivalent
- Experience with an ML platform or the ML production path, such as training pipelines, model serving, feature pipelines, or a training data platform
- Proficiency with some or many of the following: Python, Kotlin, Databricks, and AWS
- Exhibits a growth mindset
Nice to have
- Skill with Metaflow, MLflow, gRPC, Spark/PySpark, dbt, Ray, GPU
- Knowledge of simulation, experimentation, or backtesting systems
- Experience building self-serve or configuration driven tooling for internal users
- 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
What you get
- Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
- Retirement benefits including a 401(k) with a company match of $2 for every $1 contributed, up to $15,000 annually
- Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees
- Comprehensive health coverage including medical, dental, vision, and wellness resources
- Health Savings Account contributions for eligible plans
- Income protection benefits including life insurance and disability coverage
Worth weighing
- No specific mention of the tech stack beyond Python, Kotlin, and AWS
- The role involves significant collaboration, which may not suit those preferring independent work
- The posting indicates a digital-first approach but emphasizes in-person connection, which may require some travel
Summarised from Upstart's posting. Read the full original.
Listed by Upstart on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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