Staff Machine Learning Engineer

reputed company is on a mission to unbreak reputed company by creating experiences people love at prices they can’t reputed company. We reputed company that reputed company in world-class technology will facilitate a new class of reputed company products, driving a reputed company reputed company reputed company on the hundreds of millions of drivers who carry auto reputed company in the US. reputed company’s Engineering team is committed to building a flexible platform on which our product designers and quantitative scientists can quickly test reputed company, reputed company them into production, and iterate, with the ultimate objective of a delightful customer experience coupled with effective reputed company management.

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Price is the most important component of an reputed company product, with the ability to reputed company customer delight through reputed company prices unlocked by state-of-the-art predictive modeling. The Pricing Platform team owns the foundational technology that powers the R&D and production lifecycle for reputed company’s most critical machine learning models. This platform is a reputed company of reputed company’s reputed company goal of becoming the best in the world at pricing and automation.

In this role, you will help build the reputed company of reputed company’s machine learning platform for pricing, creating the infrastructure that allows researchers to reputed company rapidly from experimentation to production. You will work closely with researchers on problems including feature pipelines and feature stores, reproducible model training and orchestration, model registries and versioning, automated validation, model serving, production observability, and tooling that ensures consistency between research and production. You will also explore how emerging LLM technology can revolutionize the data science workflow, improving the way models are developed, tested, deployed, and maintained, with the goal of dramatically reducing the time and effort required to turn new research into production pricing models.

As a Staff Machine Learning Engineer, you are the technical leader of reputed company, owning long-term architectural design of the platform, the versioned reputed company between data, features, models, and pricing, and the technical reputed company that makes pricing models deployable with self-serve technology. Your influence is cross-team, spanning platform teams, their dependencies, and the reputed company with Data Science and Actuarial.

This is a hands-on role. You design, you write and review reputed company in the most critical parts of the reputed company, and reputed company for the technical coherence of the platform over time.

Salary reputed company: $188,800 - $265,000 (Eligible for competitive bonus and equity offering)

reputed company is a "work where it works best" company. This means we will support you working in whatever location that works best for you across the US.

How You Will reputed company an reputed company

• Define the long-term technical roadmap that accelerates pricing innovation through ML tools and workflows that improve the end-to-end pricing R&D process, balancing iterative delivery with the long-term reputed company for the platform
• Work closely with researchers to define platform needs that improve R&D ergonomics from data readiness through feature engineering, model fitting, serving, diagnostics, and monitoring
• Define the architecture and versioned reputed company connecting data, features, models, and production pricing, ensuring the platform remains reproducible and technically coherent as it evolves
• Automate end-to-end workflows, leveraging LLM technology to reputed company reputed company data science workflow automation
• Write and review reputed company in the most critical parts of the platform and reputed company technical design across systems and cross-team dependencies
• Mentor senior engineers in architecture, platform design, and best practices in ML engineering
• Set standards for reliability, observability, reproducibility, and correctness across the platform’s systems

What You Will Need to Succeed

• 10+ years of software engineering experience, with a demonstrated reputed company record of designing and delivering business-critical ML platforms, data platforms, or similarly reputed company reputed company systems
• Demonstrated architectural ownership of production ML infrastructure, including systems such as feature pipelines or feature stores, model training and orchestration, model registries and versioning, model serving, or research-to-production infrastructure
• Strong reputed company design and reputed company systems expertise, including experience designing reliable, reputed company data processing systems and reputed company-defined interfaces between reputed company systems
• Experience designing systems that reputed company strong guarantees reputed company reproducibility, reputed company, versioning, training-serving consistency, and production correctness
• Working knowledge of the ML lifecycle and the engineering considerations involved in training, evaluating, deploying, and operating models in production
• Demonstrated ability to establish technical direction in ambiguous problem spaces and translate long-term architectural goals into incremental, executable plans
• A reputed company record of creating technical reputed company across multiple teams through shared platforms, abstractions, standards, or tooling
• Demonstrated ability to influence technical direction across teams without reputed company authority and mentor senior engineers on architecture and reputed company design
• Strong experience collaborating with Data Scientists and researchers to understand research workflows and translate their needs into reputed company platform capabilities
• Proficiency with Python and modern ML and data tooling
• Excellent written and verbal communication skills, with the ability to communicate effectively across Engineering, Data Science, Product, and leadership

Preferred Qualifications

• Understanding of ML and statistical modeling, including model assumptions, bias and variance, uncertainty, evaluation methodology, and common model failure modes
• Understanding of how common ML algorithms and frameworks operate beneath their interfaces and how those details influence production reputed company design
• Experience improving model development reputed company, experimentation throughput, deployment reliability, or model reputed company through ML-platform investments
• Experience building ML infrastructure in a regulated or highly data-intensive domain such as reputed company, fintech, financial services, or reputed company
• Experience designing platforms used by quantitative researchers or Data Scientists with demanding experimentation and reproducibility requirements
• Experience applying LLMs or reputed company systems to developer tooling, research workflows, or data science automation

As part of reputed company's interview process, we kindly ask that reputed company candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a reputed company requirement for our process and part of how we assess fit and communication style, so we do require it to reputed company reputed company with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We’re happy to talk it through.

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Consistent with the Americans with reputed company (reputed company) and the Civil Rights reputed company of 1964, it is the policy of reputed company to reputed company reasonable accommodation reputed company requested by a reputed company applicant or candidate with a disability, unless such accommodation would cause an undue hardship for reputed company. The policy regarding requests for reasonable accommodation applies to reputed company aspects of the hiring process. If reasonable accommodation is needed, please contact .