Machine Learning Lead Engineer

About the role

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization.

Key Responsibilities

• Accelerate ML development using AI tools for code generation, feature engineering, optimization, and validation
• Stay up to date with advancements in ML, AI, and emerging technologies
• Design, build, and maintain ML models, algorithms, and robust pipelines for data processing, training, and inference
• Optimize model performance, scalability, and reliability in production environments
• Collaborate cross-functionally to translate model insights into business value and communicate project updates
• Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks
• Establish AI governance practices including bias detection, interpretability, compliance monitoring, and responsible deployment
• Mentor teams in AI adoption, share best practices, and promote responsible AI innovation culture
• Lead AI transformation initiatives including tool evaluation, governance development, and strategic adoption planning
• Analyze complex data sets to solve real-world business and customer use cases
• Perform end-to-end development of machine learning models
• May assist with or lead the development of industry whitepapers or other technical publications
• Continuously evaluate AI processes for accuracy, efficiency, and business impact while staying current on emerging technologies
• Design agentic workflows for autonomous training, data pipelines, and analytical problem solving appropriate to experience level

Required Skills

• Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness
• Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design
• Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment
• Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration
• Commitment to continuous learning in AI-augmented data science and responsible AI use

Required Qualifications

• Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship
• No OPT, CPT, STEM/OPT or visa sponsorship now or in future
• Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
• Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
• Deep expertise in multiple ML domains and familiarity with emerging research areas
• Strong experience in technology evaluation, competitive analysis, and strategic planning
• Comfortable with non-deterministic systems
• Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
• Experience in Rally, Jira or similar tools
• Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy
• Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence
• Proven track record of leading innovative projects from concept to proof-of-concept
• Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
• Experience building and leading high-performing research or innovation teams
• Excellent communication skills for technical and executive audiences
• Strong network within the ML research community
• Experience with research collaboration and partnership development

Preferred Qualifications

• Experience in corporate research labs, innovation teams, or technology consulting
• Track record of identifying and successfully implementing breakthrough technologies
• Background in technology transfer from research to business applications
• Knowledge of emerging areas such as LLMs, Agents, foundation models, multimodal AI, or quantum ML
• Leadership Expectations
• Foster a culture of experimentation, learning, and calculated risk-taking
• Drive consensus on research priorities while maintaining innovation velocity
• Develop talent through mentoring in both technical skills and research methodologies
• Communicate complex experimental results and strategic implications to all organizational levels
• Lead by example in intellectual curiosity, scientific rigor, and knowledge sharing
• Build bridges between cutting-edge research and practical business applications
• Establish the team as a recognized center of excellence in experimental ML

Compensation

USD 134,900.00 - 224,900.00 per year

Benefits

• The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations;
• seven paid holidays throughout the calendar year;
• up to 160 hours of paid wellness annually for their own wellness or that of family members.

EEO, including disability/vets