Machine Learning Engineer

At Artisan, we're pioneering the development of autonomous AI employees that function as true teammates rather than mere assistants or copilots. Our flagship product, Ava, serves as an AI Business Development Representative (BDR) with impressive capabilities - from lead identification and research to email composition and sequence management, all while maintaining deliverability infrastructure.

What makes this role particularly exciting is the scale of impact: Artisans interact with millions of people monthly, generating vast amounts of valuable data. As a Machine Learning Engineer, you'll be at the forefront of building self-optimizing systems that continuously improve through real-world interactions.

The role involves designing and implementing sophisticated systems for multivariate testing, Bayesian optimization, and online learning to enhance messaging effectiveness and targeting. You'll build adaptive models that optimize campaign performance in real-time based on user behavior, develop advanced lead scoring frameworks, and create systems that autonomously adjust communication strategies based on live feedback.

We're backed by top investors with over $35M in funding and have achieved $6M+ in ARR, serving hundreds of customers including notable names like Remote, Quora, and SumUp. Our team is currently focused on developing Ava 2.0, pushing the boundaries of AI employee capabilities.

The ideal candidate brings 3-6+ years of ML experience, particularly in growth, recommendation engines, or adaptive systems. Strong Python skills and familiarity with experimentation frameworks are essential. You'll have the opportunity to work in a fast-paced environment where your contributions will directly impact the evolution of AI-human workplace interaction.

Join us in shaping the future of work with competitive compensation, full benefits, and the autonomy to drive innovation in AI employee development.