Growth ML & Experimentation Engineer
Description For Growth ML & Experimentation Engineer
Artisan is revolutionizing the future of work by creating AI Employees, with a focus on outbound sales through their AI BDR, Ava. Having recently secured $25M in Series A funding, they're on a trajectory for explosive growth. The Growth ML & Experimentation Engineer role is crucial in developing Ava's adaptive growth brain, implementing systems that optimize outbound performance through millions of microtests across various sectors.
This position combines the innovative fields of A/B testing, reinforcement learning, and control systems at scale. The ideal candidate will be instrumental in creating an AI that autonomously adapts to different personas, markets, and trends. This isn't traditional growth hacking - it's about evolving an AI employee to become more effective and efficient over time.
The role requires expertise in applied ML, particularly in growth and optimization systems, with strong Python skills and experience in experimentation frameworks. You'll be working with a high-caliber team in a fast-paced environment, where your work will have immediate impact. The position offers competitive compensation, including generous equity, and the opportunity to shape the future of AI-driven sales.
Working remotely, you'll collaborate with product teams to integrate experimentation directly into the AI-user experience, while developing sophisticated tools for campaign intelligence. This is an opportunity to be at the forefront of AI innovation, creating systems that continuously improve without human intervention.
Responsibilities For Growth ML & Experimentation Engineer
- Design and implement automated experimentation systems (A/Z testing, multivariate optimization, Bayesian exploration)
- Build dynamic systems that continuously learn from open/response rates, meetings booked, and downstream metrics
- Create reinforcement loops and scoring models to help Ava adjust tone, targeting, and strategies in real-time
- Work closely with product to embed experimentation directly into the AI-user experience
- Develop tools to visualize and interpret campaign intelligence for internal teams and end users
Requirements For Growth ML & Experimentation Engineer
- 3–6+ years of experience in applied ML, ideally focused on growth, 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 outbound or marketing funnel data is a major plus
- Passion for building intelligent systems that get better every day, without human micromanagement
Benefits For Growth ML & Experimentation Engineer
- Competitive salary
- Generous equity
- Full benefits
- Regular company off-sites and team events
