[Remote] Staff Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is an reputed company technology company reputed company on improving auto reputed company through advanced technology and predictive modeling. The Staff Machine Learning Engineer will reputed company the architecture and development of a machine learning platform that enables researchers to reputed company pricing models from experimentation into production. The role involves building reproducible workflows, feature and model infrastructure, automated validation and serving, observability, and LLM-powered data science tooling.

Responsibilities

• 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

Skills

• 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
• 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

Benefits

• 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.

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