Staff Machine Learning Engineer

The posting, as Evolve wrote it

At Evolve , we’re on a mission to make vacation rental easy for everyone. Our high-performing, customer-obsessed team runs on curiosity, communication, and accountability—working together to create exceptional experiences for our owners and guests. Whether solving big challenges, delivering outstanding results, or celebrating wins, we approach every day with purpose and passion. If you’re ready to join a mission-driven company where every teammate has the opportunity to thrive, Evolve might just be the place for you.

Why this role

Evolve's Data Product team builds data and machine-learning products that improve owner acquisition and retention, pricing, revenue performance, and how teams make decisions. We're hiring a Staff Machine Learning Engineer to own how those models get to production and stay there: the training and inference systems, the deployment and monitoring patterns, and the engineering standards the rest of the team builds on.

You'll be Evolve's first and most senior ML engineer. You'll turn working models into durable production systems: design feature and training pipelines, batch and online inference, deployment, monitoring, and retraining; integrate models into products and operating workflows; and measure adoption and business impact. You'll be a key decision-maker on ML infrastructure strategy, choosing what we build, what we buy, and what we standardize on. You'll partner with data scientists on the modeling itself, including forecasting, price-elasticity, and optimization work for pricing and revenue, and on LLM-based products.

This is a hands-on individual-contributor role for someone who wants to set technical direction, not just execute it. You'll define pragmatic engineering standards for a lean data science team, mentor engineers and data scientists, and partner closely with Product, Engineering, Data Engineering, Revenue Management, and business leaders. The mix of initiatives will shift with company priorities; end-to-end ownership and measurable business use will not. This role reports to Anto Kajajian.

What you'll do

• Build and operate ML systems end to end: data and feature pipelines, training and evaluation, batch or online inference, deployment, monitoring, retraining, failure handling, and iteration after launch.
• Define how ML ships at Evolve: the patterns for packaging, deploying, versioning, monitoring, and retraining models on Snowflake, dbt, Python, AWS, and our Kubernetes-based deployment stack, plus the CI/CD, logging, and observability standards (GitHub, Sumo Logic) the team builds on.
• Shape ML infrastructure strategy as a key decision-maker: evaluate build-versus-buy options, choose platform components, and set the roadmap for how the team's production footprint grows.
• Productionize LLM-based products: evaluation harnesses, guardrails, cost and latency management, and the operating patterns that keep them reliable after launch.
• Lead the technical direction and hands-on delivery of

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immediate vesting match.

• Family Support: 16-18 weeks of paid parental leave for birthing parents and 10 weeks for non-birthing parents, plus infertility coverage.
• Health & Wellness: Comprehensive medical, dental, and vision plans, with 100% employer-paid dental and vision for individual coverage, a low-cost medical option, 10 free mental health visits, and pet insurance.
• Time to Recharge: Generous PTO, RTO (for full-time exempt employees), sick leave, holidays, and a personal holiday to celebrate what matters most to you.
• Travel Perks: Annual Evolve travel credit after one year and discounts on stays at all Evolve properties.
• Growth Opportunities: World-class onboarding programs, learning, and development resources to help you grow your impact.
• Connection: Employee Resource Groups celebrating our diverse communities at Evolve.

How we work together

With our core values as our guide, every Evolver helps shape the company we want to work for and the people we want to be. We’ve cultivated a culture of collaboration, care, and responsibility that we can all be proud of, and we’re excited to see what you’ll bring as your authentic self.

Still curious about who we are and what we do? Read more about our business and our culture at evolve.com .

EEO

At Evolve, we are committed to diversity and inclusion. As an equal opportunity employer, all qualified candidates will be considered for employment without regard to race, color, creed, religion, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, national origin, ancestry, citizenship status, military service or veteran status, physical or mental disability, or any other legally protected characteristic. Evolve participates in e-Verify for all positions.

If you have a disability or special need that requires accommodation at any point in the hiring process, please let your recruiter know.