Description
We 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 toward innovative solutions in machine learning and data engineering. The successful candidate will be not only a technical leader but also a mentor, coach, and role model in our organization.
We 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 toward innovative solutions in machine learning and data engineering. The successful candidate will be not only a technical leader but also a mentor, coach, and role model in our organization.
You Will:
Be a people leader of a small (approx 4-6) team of ML and data engineersBe hands-on as needed in coding, ML model design, system design, data modelling, code pairing, PR reviews, and writing TDDs (technical design documents)Own and drive execution of the technical roadmap for your team in line with the product roadmapProvide engineering/technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci’s Knowledge GraphWork closely with other engineering leaders to ensure alignment on technical solutioningLiaise closely with stakeholders from other functions including product and scienceHelp ensure adoption of ML best practices and state of the art ML approaches at BenchSciDrive agile practices within the team, and lead certain agile ritualsTake a leadership role in our recruiting, hiring, and onboarding processesProvide mentorship and carry out regular 1:1 meetings with direct reportsWork 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 engineer3+ years in technical leadership roles2+ years of experience working as an ML engineering managerTechnical focus: have remained technically hands-on and have regularly contributed code over the last 12 monthsTechnical leadership: a proven track record of delivering complex ML projects with high-performing teams leveraging state-of-the-art ML techniquesML proficiency: deep understanding of modern machine learning techniques and applicationsML frameworks/libs: Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratchML model deployment: expert in training, fine-tuning, and deploying machine learning models at scale, with a focus on optimising performance and efficiencyLLM acumen: strong skills in implementing Large Language Models. Deep understanding of the Retrieval Augmented Generation architecture and ideally deploying solutions leveraging RAGGML/GNNs: expertise in graph machine learning/graph neural networks and practical applicationsTechnical expertise: Comprehensive knowledge of software engineering and industry experience using PythonDomain: ideally worked in the biological/science domainAgile practices: well-versed in Agile software development methodologiesEffective communication: outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineer stakeholdersGrowth mindset: up-to-date with cutting-edge advances in ML/AI, actively engaging with the community
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