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Harvard University · 3 weeks ago

Lead Software Engineer, Digital Transformation

Boston, MA

Full-time

Hybrid

Lead/Staff

8+ years exp

Harvard University is seeking a Lead Software Engineer to collaborate with software engineers, data scientists, and machine learning engineers in developing AI-based software solutions. The role involves guiding teams, managing projects, and driving innovation to enhance engagement and education for a diverse community.

EducationHigher EducationUniversities

Growth Opportunities

No H1B

Responsibilities

Develop production-ready software solutions that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives

Apply software engineering, data science, machine learning, and AI techniques to derive business value from the full range of internal and external data, leveraging Cloud-based technology

Design solutions, build initial code, and provide documentation with ways of working to minimize time to value and maximize re-usability

Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation

Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in

Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new software engineering, data science, machine learning, and AI technologies and tools that can boost team performance, innovation, and business value

Manage, coach, and mentor a team of software engineers and data scientists, serving as a predominant technical expert

Actively contribute to and re-use community best practices

Embody the values and passions that characterize Harvard Business School, with empathy to engage with colleagues from a wide range of backgrounds

Promote software engineering, data science, machine learning, AI, and digital and emerging technologies at Harvard Business School in relevant channels through community engagement, networking, speeches, and publications as applicable

Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents

This role is responsible for other duties as assigned

Qualification

PythonMachine LearningGenerative AICloud ComputingData ScienceStatistical ModellingDeep LearningAgile MethodologyData VisualizationTeam LeadershipCommunication SkillsMentoring

Required

Minimum of seven years' post-secondary education or relevant work experience

Bachelor's/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 8+ years equivalent work experience

3-5 years of experience in developing a variety of software products in a commercial environment, with at least 2 years of experience in building generative AI-based products

Strong Python and Typescript/JavaScript skills required; proficiency in SQL desirable

Expertise in multivariate statistical modelling (e.g., clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and modern machine learning (ensemble methods, regularization, gradient boosting, representation learning, deep neural networks, transformers architectures, self-supervised learning, and MLOps fundamentals) required

Experience with cloud computing platforms (AWS, GCP, or other), or equivalent on-premise platform

Ability to mentor and lead others; provide hands-on technical guidance; conduct code reviews

Ability to simultaneously coordinate and track multiple deliverables, tasks, and dependencies across multiple stakeholders / business areas

Experience working in agile methodology is required

Prior experience in leading data science and machine learning based software development projects focused on solving business problems and seizing business opportunities

Preferred

Experience with deep learning and neural network architectures (e.g., CNNs, RNNs, transformers), including generative and self-supervised models, and with frameworks such as TensorFlow or PyTorch is desirable

Proficiency with data visualization tools is desirable