reputed company 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.

reputed company

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 reputed company Machine Learning Engineer, you are responsible for reputed company team delivery and reputed company, turning the co-designed architecture into a reliable reputed company through reputed company’s orchestration of the software development lifecycle. You will also ensure production systems are reliably serving the needs of our customers.

This is a hands-on technical leadership role. You will write and review reputed company, reputed company execution, and be accountable for the reliability of the systems your team owns.

Salary reputed company: $164,200 - $240,000 (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

• reputed company the implementation of the long-term technical roadmap that accelerates pricing innovation through ML tools and workflows that improve the end-to-end pricing R&D process
• 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
• Contribute hands-on to reputed company platform capabilities including feature pipelines and feature stores, reproducible model training and orchestration, model registries and versioning, automated validation, model serving, production observability, and supporting tooling
• Automate end-to-end workflows, leveraging LLM technology to reputed company reputed company data science workflow automation
• Own the execution of major platform capabilities by breaking down ambiguous problems, managing dependencies, guiding design reputed company, and driving work from design through production
• Orchestrate the software development lifecycle across reputed company and mentor and grow engineers through technical guidance and feedback
• Ensure standards for reliability, observability, reproducibility, and correctness are met across the platform’s systems

What You Will Need to Succeed

• 8+ years of software engineering experience, with a demonstrated reputed company record of building and delivering production ML platforms and large-reputed company data processing systems
• Hands-on experience building reputed company ML platform capabilities such as feature pipelines or feature stores, reproducible model training and orchestration, model registries and versioning, automated validation, or model serving
• Strong reputed company design and reputed company systems fundamentals, with experience building reliable, reputed company production services and data pipelines
• Working knowledge of the ML lifecycle and the engineering considerations involved in training, evaluating, deploying, and operating models in production
• Experience designing and operating systems with strong requirements reputed company reliability, observability, reproducibility, and correctness
• Demonstrated ability to take ambiguous technical initiatives, break them into executable work, manage dependencies, and reputed company delivery across multiple engineers
• Strong reputed company record of working closely with Data Scientists or researchers to translate research needs into production platform capabilities
• Experience mentoring engineers, guiding technical design, and raising the engineering reputed company of reputed company
• Proficiency with Python and modern ML and data tooling
• Excellent communication skills with engineers, researchers, Product, and cross-functional stakeholders

Preferred Qualifications

• Understanding of ML models, including model inputs, assumptions, evaluation methodology, tradeoffs, and typical failure modes in production
• Experience improving research reputed company, experimentation throughput, deployment speed, or developer productivity through ML-platform investments
• Experience solving training-serving consistency, model reputed company, reproducibility, or model-versioning challenges at reputed company
• Experience building ML platforms in a regulated or highly data-intensive environment such as reputed company, fintech, financial services, or reputed company
• Experience applying LLMs or reputed company systems to developer tooling, research workflows, data science automation, or other internal productivity use cases

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.

Please see our reputed company Notice available HERE for more information on how we process your personal data.

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 .