Job Details

Join to apply for the Machine Learning Engineer role at Artisan

Join to apply for the Machine Learning Engineer role at Artisan

This range is provided by Artisan. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $240,000.00/yr

About Us

At Artisan, we're building real AI employees - not copilots, not assistants, but autonomous teammates.

Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers' tone of voice, runs outbound sequences, self-optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would.

Human team members use Artisan as their primary working platform, replacing a sprawling stack of sales tools, and have Artisans working alongside them.

We went through Y Combinator (W24) and have raised $35M+ from top investors. We're at $6M+ ARR, with hundreds of customers including Remote, Quora, and SumUp.

We're currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring.

About The Role

Artisans interact with people millions of times each month and we collect a massive amount of data. This is a unique opportunity to build self-optimization capabilities at scale:

• Design and deploy systems for multivariate testing, Bayesian optimization, and online learning to optimize messaging, targeting, and sequencing
• Build models that adapt on the fly, learning from user behavior to improve campaign performance in real time
• Develop lead and persona scoring frameworks that help Ava decide who to reach out to, when, and how
• Create models that adjust Ava's tone, strategy, and targeting based on live campaign feedback - without human input
• Work closely with Product to bake experimentation directly into Ava's UX and decision logic
  
  

What You Bring

• 3–6+ years of ML experience, ideally focused on growth, recommendation engines, optimization, or adaptive systems
• Experience with online experimentation frameworks (A/B testing infra, bandits, causal inference, etc)
• Strong Python and data engineering skills; comfortable working across pipelines, APIs, and backend systems
• Experience working with marketing funnel data is a major plus
• Passion for building intelligent systems that get better every day, without human micromanagement
  
  

Why Join Us

• A unique opportunity to work on the development of AI employees which will interact with 10s of millions of people
• Extremely competitive compensation and full benefits
• Flexibility and autonomy to run experiments and try new things
• Collaborate with a mission-driven, ambitious, and extremely talented team
• Fast-moving culture where you'll ship meaningful work every week

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Information Technology
• IndustriesSoftware Development

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