United Kingdom onlyWe are looking for an Engineering Manager to join our Knowledge Enrichment team. You will be reporting to the Director of Engineering, Data ML. In this impactful role, you will work closely with key stakeholders across the organisation and be instrumental in cross-team priorities and management. The most successful candidates for this role will be experienced ML engineers who have recently transitioned to leading ML engineer ICs, and delivering complex ML engineering solutions.
This role is perfect for a leader who is technically adept and passionate about guiding a team towards innovative solutions in machine learning and data engineering. The successful candidate will not only be a technical leader but also a mentor, coach and a role model in our organisation.
You Will:
- Be a people leader of a small (approx 4-6) team of ML and data engineers .Also be hands-on as needed coding, ML model design, system design, data modelling, code pairing, PR reviews, writing TDDs (technical design documents).Own and drive execution of the technical roadmap for your team in line with the product roadmap.
- Provide engineering/technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci’s Knowledge Graph.
- Work closely with other engineering leaders to ensure alignment on technical solutioning.
- Liaise closely with stakeholders from other functions including product and science.
- Help ensure adoption of ML best practices and state of the art ML approaches at BenchSci.
- Drive agile practices within the team, and lead certain agile rituals.
- Take a leadership role in our recruiting, hiring, and onboarding processes.
- Provide mentorship and carry out regular 1:1 meetings with direct reports.
- Work with your team to continuously drive improvements in ways of working, productivity and quality of work product.
You Have:
- 5+ years of experience working as a professional ML engineer.3+ years in technical leadership roles.
- 2+ years of experience working as an ML engineering manager.
- Technical focus: have remained technically hands on and have regularly contributed code over the last 12 months.
- Technical leadership: a proven track record of delivering complex ML projects with high performing teams leveraging state of the art ML techniques.
- ML proficiency: deep understanding of modern machine learning techniques and applications.
- ML frameworks/libs: Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch.
- ML model deployment: expert in training, fine-tuning, and deploying machine learning models at scale, with a focus on optimising performance and efficiency.
- LLM acumen: strong skills in implementing Large Language Models. Deep understanding of the Retrieval Augmented Generation architecture and ideally deploying solutions leveraging RAG.
- GML/GNNs: expertise in graph machine learning/graph neural networks and practical applications.
- Technical expertise: Comprehensive knowledge of software engineering and industry experience using Python.
- Domain: ideally worked in the biological/science domain.
- Agile practices: well-versed in Agile software development methodologies.
- Effective communication: outstanding verbal and written communication skills.
- Can clearly explain complex technical concepts/systems to engineering peers and non-engineers stakeholders.
- Growth mindset: up-to-date with cutting-edge advances in ML/AI, actively engaging with the community.
Benefits and Perks:
An engaging remote-first culture
A great compensation package that includes BenchSci equity options
A robust vacation policy plus an additional vacation day every year
Company closures for 14 more days throughout the year
Flex time for sick days, personal days, and religious holidays
Comprehensive health and dental benefits.
Annual learning development budget
A one-time home office set-up budget to use upon joining BenchSci
An annual lifestyle spending account allowance
Generous parental leave benefits with a top-up plan or paid time off options
The ability to save for your retirement coupled with a company match!
About BenchSci:
BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
Our Culture:
BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to [email protected].
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