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- Tasks: Lead and mentor a remote team of machine learning engineers while driving project management and technical discussions.
- Company: Mimica empowers teams to work efficiently with AI-powered task mining and process intelligence.
- Benefits: Enjoy remote work flexibility, generous compensation, stock options, and ample paid time off.
- Why this job: Join us to shape the future of work and foster a culture of collaboration and continuous learning.
- Qualifications: Strong background in AI/ML, team management experience, and effective communication skills are essential.
- Other info: Opportunity to work on groundbreaking projects in a fully remote environment.
The predicted salary is between 48000 - 84000 £ per year.
What we are building
Mimica’s mission is to empower enterprises, teams, and individuals to reclaim their most precious resource – time and work more efficiently, with greater purpose and impact.
Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.
Your mission
As the first Engineering Manager of our Machine Learning Team, you will own the strategic direction of the team’s projects, ensuring alignment with business and product goals while addressing technical constraints.
You’ll own the development of our next generation of models, guiding the team through technical challenges and delivery. You’ll play a role in building a culture of good engineering and research practices, striving to maintain efficiency and technical excellence as we scale up.
Part of your day-to-day
- Lead, nurture and scale a remote team of 8+ machine learning engineers, supporting their career development through 1:1s, coaching, mentorship, and performance reviews.
- Lead project management discussions, coordinating and facilitating the Weekly planning and team meetings.
- Collaborate with the CTO, Platform and Product to align team priorities with company OKRs.
- Collaborate with the People team on recruiting and onboarding talent that matches our values and technical excellence by being a part of interviewing, debriefs, defining scorecards and onboarding plans.
- Facilitate and lead discussions that drive the development and deployment of our new generation of ML models, optimizing tools and infrastructure for efficiency, while upholding engineering excellence.
- Identify and resolve bottleneck and efficiency blockers, enabling the team to iterate faster.
- Champion initiatives to improve the quality, security and performance of our systems, processes and code.
- Promote a culture of collaboration, transparency, feedback and continuous learning.
Requirements
- Strong background in applied AI/ML research, development, and deployment – particularly in deep learning.
- Proven track record in managing growing teams , including hiring, mentoring, and developing talent.
- Experience leading machine learning/data science technical initiatives, particularly in high-growth and large-scale production environments.
- Deep understanding of good ML engineering practices, including MLOps, data engineering, and scalability.
- Effective 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.
Bonus
- Background in high-impact startup/scale-ups, driving iterative development and rapid delivery.
- Active interest in automation and task-mining.
- Familiarity with data pipeline architecture.
- Experience with secure software design and data protection mechanisms.
What we offer
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.
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 and retirement benefits.
Annual L&D budget.
Annual workaways and regular virtual & in-person socials.
Opportunity to contribute to groundbreaking projects that shape the future of work.
Note: Some benefits may vary depending on location.
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Engineering Manager - ML/AI Research employer: Mimica
Contact Detail:
Mimica Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - ML/AI Research
✨Tip Number 1
Familiarize yourself with Mimica's mission and values. Understanding how our AI-powered task mining works and its impact on efficiency will help you align your vision with ours during discussions.
✨Tip Number 2
Highlight your experience in managing machine learning teams, especially in high-growth environments. Be ready to discuss specific examples of how you've nurtured talent and led projects that align with business goals.
✨Tip Number 3
Prepare to demonstrate your understanding of MLOps and good ML engineering practices. Discuss how you've implemented these in past roles to optimize processes and improve team efficiency.
✨Tip Number 4
Showcase your communication skills by being clear and concise when discussing complex technical topics. This will be crucial in engaging with senior leaders and product teams effectively.
We think you need these skills to ace Engineering Manager - ML/AI Research
Some tips for your application 🫡
Understand the Company Mission: Before applying, take some time to understand Mimica's mission and how their AI-powered task mining works. This will help you tailor your application to show how your skills align with their goals.
Highlight Relevant Experience: In your CV and cover letter, emphasize your background in applied AI/ML research and your experience managing teams. Be specific about your achievements in leading machine learning initiatives and how they relate to the role.
Showcase Leadership Skills: Since this position involves leading a remote team, make sure to highlight your leadership experience. Discuss your approach to mentoring, coaching, and supporting team members in their career development.
Communicate Effectively: Demonstrate your effective communication skills in your application. Use clear and concise language to articulate your ideas and experiences, especially when discussing complex technical topics.
How to prepare for a job interview at Mimica
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with applied AI/ML research, particularly in deep learning. Highlight specific projects where you've led technical initiatives and how you overcame challenges in high-growth environments.
✨Demonstrate Leadership Skills
Since you'll be managing a remote team, share examples of how you've successfully nurtured and developed talent in previous roles. Discuss your approach to mentoring and performance reviews, emphasizing your commitment to team growth.
✨Align with Company Goals
Understand Mimica's mission and be ready to explain how your strategic vision for the Machine Learning Team aligns with their business and product goals. Show that you can bridge technical constraints with organizational objectives.
✨Communicate Effectively
Effective communication is key in this role. Practice articulating complex ideas clearly and concisely, especially when discussing technical concepts with non-technical stakeholders. Prepare to engage in discussions with senior leaders and product teams.
