ML Research Engineering Manager leading research engineering team for TwelveLabs' multimodal models. Managing technical roadmap and team growth while ensuring high engineering standards.
About the role
- Senior Engineering Manager overseeing multiple AI/ML engineering teams at ABBYY. Driving innovation, cross-functional collaboration, and executing strategic vision in document understanding technologies.
Responsibilities
- Lead and scale multiple AI/ML engineering teams, providing coaching, mentorship, and performance management while fostering a culture of ownership, accountability, and psychological safety.
- Plan, prioritize, and oversee execution of AI/ML projects, ensuring on-time delivery while holding teams accountable and actively removing blockers.
- Partner with Product, other Engineering teams that integrate our technology, and Customer Success teams to align technical execution with business objectives and drive customer-centric solutions.
- Provide guidance on ML architecture decisions, ensure engineering best practices, and support technical vision implementation alongside Principal ML Engineers and Tech Leads.
- Maintain deep visibility into team progress and challenges, proactively surfacing issues and risks to AI Labs leadership with no surprises.
- Design and implement scalable engineering processes, drive continuous improvement in development velocity, and lead incident response coordination.
- Support AI Labs leadership in strategic planning, establish team performance metrics, and represent engineering in cross-functional meetings.
- Drive diversity and inclusion initiatives, conduct regular 1:1s and performance reviews, and handle difficult conversations with clarity and fairness.
- Make tough operational and technical decisions when necessary, bring structure to ambiguous situations, and drive technical debt management and modernization efforts.
Requirements
- BS/MS in Computer Science, Engineering, Mathematics, or related technical field
- 8+ years of software engineering experience with 4+ years in engineering management roles
- Previous experience as a Tech Lead or Senior Engineer with hands-on development background
- Deep understanding of Machine Learning, Computer Vision, and modern Deep Learning architectures
- Proficiency in reading and reviewing code in Python, with understanding of ML frameworks (PyTorch, TensorFlow)
- Experience with cloud platforms, MLOps, and production ML system architecture
- Strong understanding of ML product lifecycle including experimentation, model versioning, deployment, and monitoring
- Understanding of software development lifecycle, CI/CD, and modern engineering practices
- Exceptional people management skills with experience in performance management, accountability, and career development
- Strong track record of building and scaling high-performing engineering teams with a culture of ownership
- Excellence in cross-functional collaboration and stakeholder management
- Proven ability to translate business requirements into technical strategies and drive execution
- Outstanding communication skills with ability to maintain transparency and trust with leadership
- Experience making tough decisions and having direct conversations about performance and expectations
- Ability to bring structure and clarity to ambiguous situations.
Benefits
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Manager, Software Engineering role overseeing a team of engineers at Milliman IntelliScript. Responsible for software delivery, technical direction, and team growth within a SAFe Agile environment.
Senior Manager leading Data Acquisition team for WEX's DaaS platform. Focus on scalable, reliable data ingestion from diverse sources with strong technical oversight.
Data Engineering Manager leading a talented team to build reliable data pipelines for adm - Indicia. Partnering with stakeholders to ensure best practices in data quality and platform reliability.
Engineering Manager leading engineering teams at Foundation Health to deliver AI - powered healthcare solutions. Collaborating with leadership to drive innovation in a hybrid work environment.
Head of Engineering at Rabobank overseeing engineering strategy, technology stack governance, and talent management across Australia and New Zealand for the financial sector.
Lead the Software Engineering team at Henry Schein, driving AI and modern approaches for product delivery. Collaborate across teams to shape technical direction and ensure high - quality engineering outcomes.
Software Engineering Manager for Wells Fargo's Payments and Fraud Product Services. Leading application design, development, and team management in an agile environment.
Software Development Manager at Boeing overseeing design and development of CAD/CAM systems. Leading a diverse team and partnering with stakeholders to ensure project success.
Engineering Manager leading engineering environments for product engineering teams at Hargreaves Lansdown. Focused on automation, observability, and supporting regulated financial services delivery.