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Manager Innovation Learning Jobs in Watertown, MA

KabaFusion

Learning & Development Specialist

Lexington, MA · On-site

$75K - $85K/yr

  • Life

  • Retirement

  • PTO

Leverage learning management systems (LMS) and other technologies to enhance delivery and ... KabaFusion is a mission driven company with a focus on innovation and patient care so, as a ...

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Showing results 21-40

All JobsInnovation Learning JobsManager Innovation Learning JobsManager Innovation Learning Jobs in Watertown, MA

Manager Innovation Learning information

See Watertown, MA salary details

$31.5K

$113.7K

$128.3K

How much do manager innovation learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager innovation learning in Watertown, MA is $113,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $126,700.00 per year, depending on experience, location, and employer.

What is the difference between Manager Innovation Learning vs Innovation Specialist?

AspectManager Innovation LearningInnovation Specialist
CredentialsBachelor's or Master's in Business, Education, or related fields; certifications in innovation or learningBachelor's degree in Business, Marketing, or related fields; certifications in innovation or project management
Work EnvironmentLeads teams, develops learning programs, collaborates with multiple departmentsSupports innovation projects, conducts research, and implements new ideas within teams
Employer & IndustryCorporate, education, or consulting firms focusing on organizational developmentCorporate, tech, or consulting firms focusing on product or process innovation

The Manager Innovation Learning typically oversees learning initiatives and manages teams to foster innovation, requiring leadership skills. In contrast, an Innovation Specialist focuses on supporting specific innovation projects and implementing new ideas, often working more hands-on. Both roles are vital in driving innovation but differ in scope and responsibilities.

What cities near Watertown, MA are hiring for Manager Innovation Learning jobs?

Cities near Watertown, MA with the most Manager Innovation Learning job openings:

Manager Innovation Learning jobs near you
Infographic showing various Manager Innovation Learning job openings in Watertown, MA as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 86% In-person, 9% Hybrid, and 5% Remote job distribution, with an average salary of $113,735 per year, or $54.7 per hour.

Lead AI Engineer -- Semiconductor AI Innovation

Onto Innovation

Wilmington, MA • On-site

$112K - $147K/yr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Onto Innovation is a leader in semiconductor technologies, and they are seeking a Lead AI Engineer to drive AI-powered solutions for semiconductor equipment operations. This hands-on leadership role involves defining AI strategies, mentoring a team, and integrating AI solutions into production environments.
Responsibilities:
• Define the AI strategy and architecture for integrating machine learning into core engineering and manufacturing processes.
• Partner with tool, process, and applications engineers to map as-is processes and define a to-be AI/automation architecture and deliver measurable outcomes.
• Ship agentic assistants for use-cases. Stand up LLM + RAG + tool integrations (via MCP servers) that help engineers accelerate tool operation/setup/maintenance and explain trade-offs, grounded in internal docs, logs, and historical inspection outcomes.
• Lead projects across diverse areas: Predictive maintenance for tool health monitoring and failure detection. Computer vision for wafer defect detection, segmentation, and classification. LLM-based engineering assistants using RAG and MCP agents to make internal knowledge more accessible. Process optimization & yield improvement through data-driven insights and parameter tuning. Simulation and digital twins to model process behaviors and accelerate R&D.
• Build retrieval-augmented AI assistants to query internal knowledge bases, tools, and logs.
• Architect robust pipelines for data ingestion, labeling, storage, and retrieval across massive multi-modal datasets (images, telemetry, recipes, logs).
• Stand up scalable MLOps infrastructure: model registries, monitoring, evaluation, deployment, and governance.
• Hire, mentor, and manage a team of 3 engineers focused on LLM/Agents, CV/ML, and MLOps/Data.
• Work cross-functionally to integrate AI solutions into production environments safely and securely.
Qualifications:
Required:
• 5+ years applied ML/AI experience, with 3+ years in a technical leadership role.
• Hands-on expertise with at least two of the following domains: Large Language Models - RAG, fine-tuning, agent frameworks, prompt optimization; Predictive Modeling - tool failure prediction, anomaly detection, time-series analysis; Computer Vision - defect detection, segmentation, or SEM/optical imaging.
• Strong background in ML systems architecture and production deployment.
• Advanced Python proficiency: C++/CUDA familiarity is a plus.
• Experience with MLOps stacks: containers, CI/CD, Ray Serve/Triton, model registries (e.g., MLflow), and GPU optimization.
• Strong stakeholder collaboration skills and the ability to translate between engineering, operations, and leadership.
• Demonstrated success delivering AI-powered products into production.
Preferred:
• Familiarity with semiconductor manufacturing, inspection, or metrology.
• Understanding of fab interfaces and data connectivity (SECS/GEM, GEM300).
• Prior experience deploying digital twins or simulation-driven optimization.
• Knowledge of vector databases, retrieval pipelines, and hybrid search.
• Experience implementing safety, security, and IP protections for AI systems.
• Exposure to datasets or tools from KLA, ASML, Applied Materials, Onto, Nova, or similar inspection/metrology vendors.
Company:
Onto Innovation stands alone in process control with our unique perspective across the semiconductor value chain. Founded in 2019, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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