[Hiring] Head of Machine Learning @Mimica

Role Description

You will join us as our Head of Machine Learning, and report to our CTO. You’ll manage a Chapter of 10 Machine Learning Engineers, including 3 Team Leaders and expand the team. You’ll have a mix of People Management and project coordination responsibilities.

• Understand the strategic direction of the ML team's projects.
• Coordinate projects, dependencies, allocate resources, and ensure strategic alignment with business and product goals.
• Contribute to the architecture and development of our systems.
• Empower the team through 1:1s, code reviews, and discussions to facilitate the delivery of impactful features.
• Foster a culture of growth, efficiency, and technical excellence.
• Drive the execution of key ML initiatives that support the company’s broader vision.

Qualifications

• Strong background in applied AI/ML research, development, and deployment.
• Significant experience in leading and executing machine learning initiatives, particularly in high-growth and large-scale product companies.
• Proven track record in managing and growing ML Engineers/Data Scientist teams, including hiring, mentoring, and developing talent.
• Deep understanding of ML engineering practices, including MLOps and data engineering.
• Expertise in collaborating with Product and Engineering teams to align ML efforts with broader product goals.
• Strong communication skills to engage with senior leaders, product teams, and engineers in complex technical discussions.
• Strong analytical and troubleshooting skills - methodically decomposing systems to identify bottlenecks, determine root causes and implement effective solutions.
• Drive to continually develop your skills, improve team processes and reduce debt.
• Fluency in English, with effective communication skills – articulating complex ideas, concepts, and trade-offs clearly and getting buy-in for strategic technical decisions.

Requirements

• Background in successful startups/scale-ups, driving iterative development and rapid delivery (bonus).
• Experience working in a distributed systems environment (bonus).
• Experience with general software design and data protection mechanisms (bonus).

Benefits

• Generous compensation + stock options - aligned with our internal framework, market data, and individual skills.
• Distributed work: Work from anywhere - fully remote, in our hubs, or a mix.
• Company-issued laptop, remote setup stipend, and co-working budget.
• Flexible schedules and location.
• Ample paid time off, in addition to local public holidays.
• Enhanced parental leave.
• Health & retirement benefits.
• Annual learning & development budget.
• Annual workaways and regular virtual & in-person socials.
• Opportunity to contribute to groundbreaking projects that shape the future of work.