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Machine Learning Engineering Team Lead

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Aignostics

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Location:
Germany , Berlin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Lead a high-performing team focused on building large-scale distributed training infrastructure and workflows using cutting-edge technologies for digital pathology, powering our state-of-the-art Foundational Model development. This is a hands-on leadership role where you'll spend approximately 50% of your time on technical contributions while guiding your team to push the boundaries of machine learning for cancer research and diagnostics.

Job Responsibility:

  • Build and scale a high-performing team capable of tackling complex distributed ML challenges
  • Own the full employee lifecycle: recruiting, onboarding, performance management, career development, and retention
  • Empower your team members and help them grow in autonomy and technical expertise
  • Mentor engineers at all levels, fostering a culture of continuous learning and psychological safety
  • Create an inclusive environment where diverse perspectives drive innovation
  • Define and execute technical roadmaps aligned with company objectives and product needs
  • Lead resource allocation and capacity planning to balance team workload and business priorities
  • Own FinOps responsibilities: optimize cloud costs, track spending, and ensure efficient resource utilization
  • Ensure operational readiness through monitoring, incident response protocols, and system reliability practices
  • Establish and track KPIs for team performance, system efficiency and health
  • Design, develop, and maintain robust large-scale distributed training pipelines and ML infrastructure using cutting-edge technologies
  • Lead architecture decisions for distributed systems that enable efficient model development at scale
  • Hands-on contribution to critical technical challenges, including optimization of training pipelines and infrastructure
  • Drive technical excellence through code reviews and architectural guidance
  • Stay at the forefront of distributed training technologies and bring innovation to the team
  • Partner closely with Product teams to translate business requirements into technical solutions
  • Collaborate with (senior) Research Scientists to enable scalable model development and experimentation
  • Work with Platform Engineering to ensure robust infrastructure and tooling
  • Build strong relationships across engineering teams to drive alignment and knowledge sharing
  • Communicate technical concepts effectively to both technical and non-technical stakeholders

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
  • 6+ years of software engineering or ML engineering experience, with at least 2 years in a technical leadership or team lead role
  • Proven track record of building and leading high-performing engineering teams
  • Experience guiding projects across the whole Software Development Life Cycle
  • Deep understanding of fundamental Machine Learning concepts and principles, familiarity with advanced model optimization techniques
  • Significant experience with large-scale distributed training systems and frameworks (especially PyTorch and NCCL)
  • Familiarity with GPUs, distributed systems, parallel computing and scaling laws
  • Advanced programming skills in Python, experience in performance-critical languages (C/C++ or CUDA) being a plus
  • Familiarity of MLOps/DevOps best practices including CI/CD, Docker, Kubernetes, and observability, cloud platforms (GCP, AWS or Azure) and infrastructure-as-code
  • Experience with Linux, version control, and container technologies
  • Demonstrated ability in resource allocation, capacity planning, and FinOps principles
  • Excellent problem-solving and data-driven decision-making skills in ambiguous situations
  • Effective communication and stakeholder management skills
  • Ability to give constructive feedback and navigate difficult conversations
  • Proven people leadership skills with experience managing the full employee lifecycle
  • Strategic thinking with ability to balance short-term execution and long-term vision
  • Experience with agile methodologies and iterative development processes
  • Proven ability to influence without authority and build consensus across teams
  • Track record of empowering team members and fostering autonomy

Nice to have:

  • Experience with production systems in a regulated or healthcare environments, familiarity with medical device standards (ISO 13485)
  • Experience working with biomedical or image data
  • Hands-on experience with Google Kubernetes Engine, SLURM and Ray distributed computing framework
  • Experience with advanced ML stack (TorchDyno, JAX, TensorRT)
  • Familiarity with Information Security standards (ISO 27001) in software development
  • Experience with FinOps tools and cloud cost optimization strategies
  • Demonstrated experience with leveraging LLM/Agentic systems to accelerate development
What we offer:
  • Learning & Development yearly budget of 1,000€ (plus 2 L&D days)
  • Language classes, and internal development programs
  • Access to leadership development programs and executive coaching
  • Flexible working hours and teleworking policy
  • 30 paid vacation days per year
  • Family & pet friendly and support flexible parental leave options
  • Subsidized membership of your choice among public transport, sports, and well-being
  • Social gatherings, lunches, and off-site events for a fun and inclusive work environment
  • Optional company pension scheme

Additional Information:

Job Posted:
January 03, 2026

Work Type:
Hybrid work
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