Staff Machine Learning Engineer

🕒 August 25

🇺🇸 United States – Remote

💵 $180k - $195k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Evolve

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Evolve is a vacation rental company that provides a seamless booking experience for travelers seeking private, professionally-cleaned rental homes. With a focus on hospitality, they offer 24/7 guest support and guarantee the best rates on vacation rentals. Evolve also ensures customer satisfaction with a 'Rest Easy' promise, addressing any issues that may arise. The company offers a wide variety of rental properties, including homes with specific features like pools, pet-friendliness, and proximity to popular destinations such as ski slopes and beaches. Evolve also supports the community through its Building Hospitality program and provides services for homeowners to start, manage, and grow their rental businesses.

📋 Description

• Lead the technical direction and hands-on delivery of one or two prioritized applied ML initiatives at a time • Translate business opportunities into decision frameworks, technical approaches, success measures, and adoption and impact-evaluation plans • Build and operate end-to-end ML systems, including data and feature pipelines, training and evaluation, batch or online inference, deployment, monitoring, failure handling, and iteration • Contribute to forecasting, demand and price-elasticity estimation, causal measurement, and optimization supporting pricing and revenue decisions • Design and analyze experiments and quasi-experiments • Establish standards for testing, reproducibility, versioning, observability, documentation, and responsible model operation • Review designs and code across the team • Partner with Product, Engineering, Data Engineering, Revenue Management, and business owners to integrate models into products and workflows • Mentor data scientists and raise the team's technical judgment • Report to the head of Data Product

🎯 Requirements

• Typically 8+ years applying machine learning, data science, statistics, or econometrics to consequential business problems • Evidence of Staff-level scope, including leading ambiguous, cross-functional ML or DS work from idea through sustained production use • Expert-level Python and SQL skills • Expert-level applied modeling and model-evaluation judgment • Experience owning production ML systems end to end, including deployment or scoring, monitoring, failure handling, operational support, and iteration after launch • Hands-on experience with modern data and ML infrastructure such as Snowflake, dbt, cloud orchestration, and practical MLOps or model-governance patterns, or comparable technologies and architectures • Strong applied-statistics judgment, including experimentation or causal-inference fundamentals • Ability to contribute to economic, forecasting, or optimization work • Comfortable working in Git-based development environments with code review, automated testing, CI/CD, versioning, and safe production deployment • Ability to connect technical decisions to business outcomes and communicate tradeoffs clearly to technical, product, business, and executive audiences • Self-directed, collaborative working style; ability to prioritize, give and receive feedback, influence without formal authority, and remain hands-on in a lean, remote team

🏖️ Benefits

• Equity in the company • 401(k) with a 4% immediate vesting match • 16-18 weeks of paid parental leave for birthing parents • 10 weeks of paid parental leave for non-birthing parents • Infertility coverage • Comprehensive medical, dental, and vision plans • 100% employer-paid dental and vision for individual coverage • Low-cost medical option • 10 free mental health visits • Pet insurance • Generous PTO • RTO (for full-time exempt employees) • Sick leave • Holidays • Personal holiday • Annual Evolve travel credit after one year • Discounts on stays at all Evolve properties • World-class onboarding programs • Learning and development resources • Employee Resource Groups