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Upstart

Staff/Principal Machine Learning Engineer

Upstart · United States | Remote

Posted about 3 months ago

or apply directly on Upstart's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Upstart's roles stay open a median of 82 days
Reposted
No
Salary listed
No
0% of Upstart's roles list one
Ghost-job risk at Upstart
high
93 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
2026-10-24

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 Staff/Principal Machine Learning Engineer at Upstart, you will lead engineering initiatives that enhance machine learning capabilities across the organization. Your role involves collaborating with various teams to build scalable infrastructure, streamline workflows, and improve the entire machine learning lifecycle from data preparation to deployment. You will also explore new algorithms and methodologies to drive innovation and accuracy in predictive models.

Our read on this posting3.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
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

  • Strong theoretical and practical foundation in machine learning and statistics
  • Ability to reason from first principles about model assumptions, sources of bias, uncertainty, tradeoffs, evaluation, and failure modes
  • Deep understanding of how models work beyond the abstractions provided by common tools and frameworks
  • 5-7+ years of hands-on experience in applied machine learning, with strong exposure to production-scale modeling efforts
  • Experience working in high-scale, ML-driven product environments—especially in fintech, pricing, or risk modeling
  • Proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, XGBoost)

Nice to have

  • Practical experience optimizing ML workflows using CUDA/GPU acceleration
  • Background in feature store design, embedding architecture, or synthetic data generation for model training
  • Proven track record of improving model accuracy in production environments with measurable business outcomes
  • Familiarity with modern experimentation frameworks, hyperparameter tuning tools, and automated model selection techniques.

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 salary listed, but a range is provided based on location
  • Role involves significant cross-functional collaboration which may require strong interpersonal skills
  • The position is remote but requires occasional in-person collaboration, which may not suit all candidates.

Summarised from Upstart's posting. Read the full original.

Listed by Upstart on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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