Neal Lewis
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Head of Datasets @ Wayve | Engineering Strategy & Org Design | Scaling Data & AI Platforms
I am a Senior Engineering Leader specializing in large-scale data and ML platforms, with 15+ years of experience delivering production systems from applied research. Currently, I lead petabyte-scale data infrastructure supporting end-to-end machine learning for autonomous driving at Wayve, with direct ownership of platform architecture, organizational design, and execution. My career spans ML research, distributed systems engineering, and organizational leadership across IBM Research, Bloomberg, BenevolentAI, and Wayve. I have designed and operated ML platforms used by 100+ researchers, consolidated fragmented training stacks, and scaled organizations from single-digit teams to 30+ engineers. I focus on aligning technical strategy with business outcomes—specifically cost-efficient data acquisition, model performance scaling, and external partner delivery. I have also led technical due diligence and integration for strategic acquisitions, delivering production platforms for global automotive OEMs. Core Strengths: Platform Architecture: Petabyte-scale Data & ML Infrastructure Engineering Leadership: Organizational Design (Reverse Conway) & MLOps Execution: Delivery in complex, multi-stakeholder environments I build the machines, the teams that run them, and the leaders who scale both.
San Francisco State University
MS, Computer Science
January 1, 2010 – January 1, 2011
San Francisco State University
BS, BA, Computer Science, English (Language Studies)
January 1, 2006 – January 1, 2010
Community College of the Air Force
Associate of Science, Electronic Systems Technology
January 1, 2004 – Present
Wayve
Head Of Datasets
October 1, 2024 – Present
London Area, United Kingdom · Hybrid
BenevolentAI
VP of Engineering
January 1, 2023 – October 1, 2024
BenevolentAI
Director of Software Engineering
August 1, 2020 – February 1, 2023
BenevolentAI
Lead Machine Learning Engineer
August 1, 2018 – August 1, 2020
Bloomberg LP
Machine Learning Engineer
October 1, 2016 – July 1, 2018
New York, New York
IBM
Research Engineer
May 1, 2011 – October 1, 2016
New York
SFSU
Graduate Teaching Assistant
September 1, 2010 – July 1, 2011
Synaptics
Intern - Exploratory Research
June 1, 2010 – August 1, 2010
United States Air Force
Staff Sergeant - Ground to Air Radio Maintenance
May 1, 2001 – September 1, 2006
Cultural Fit Analysis
The candidate's diverse experience across large corporations (IBM, Bloomberg), scale-ups (BenevolentAI, Wayve), and academic settings, combined with leadership roles, suggests adaptability and a broad perspective. Their involvement in M&A integration and strategic partnerships indicates a proactive and growth-oriented mindset. The progression from individual contributor to senior leadership roles demonstrates ambition and a commitment to continuous development, aligning well with dynamic, innovative cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and organizational design capabilities, evidenced by their roles as Head of Datasets and VP of Engineering. Their experience in managing multi-million-dollar budgets and vendor relationships suggests robust operational acumen. The ability to build and scale high-performing teams indicates strong people management and collaboration skills. The military background suggests discipline and resilience.