Head of Machine Learning & AI Engineer
New Today
Overview
Head of Machine Learning & AI Engineering role at PeopleConnect Staffing. Location: Remote in USA only; periodic travel to Seattle, Bay Area for team and client meetings. Compensation: $200,000 - $215,000 upon funding. Reports To: Chief Technology Officer (CTO). Team size: 2–4 Product Managers/Analysts within the initial 12 months, with cross-functional influence over design & data teams.
Responsibilities
- Ensure customers experience deep, lasting success from the sales cycle through onboarding, ongoing use, impact, and renewal.
- Embed within the customer environment to understand context, challenges, needs, and use cases; ensure the platform delivers maximum relevance, adoption, and transformative value.
- Lead core AI model development and deployment efforts; define and execute AI/ML strategy for neuro-symbolic, human-in-the-loop applied vertical AI and agentic AI ecosystem solutions.
- Oversee the full ML project lifecycle—from research and prototyping to model training, evaluation, and production deployment.
- Mentor a team of ML engineers and data scientists, fostering innovation and engineering excellence in areas such as natural language understanding, knowledge graph reasoning, and reinforcement learning for agentic behavior.
Qualifications/Requirements
- 5–10+ years of AI/ML experience with at least 5 years hands-on building and deploying ML models; several years in a leadership or tech lead role.
- Strong programming skills in Python; proficient in C++ or Java.
- Experience with TensorFlow, PyTorch, or scikit-learn; familiarity with distributed computing or big data (Spark, Hadoop).
- Cloud platforms experience (AWS, GCP, Azure) and scaling in production environments.
- Solid theoretical foundation in AI (algorithms, statistics, deep learning) and practical coding skills for implementing and optimizing models.
- Track record delivering AI solutions in real-world production settings; understands data quality, monitoring, and scalability concerns.
- Early-stage startup experience is highly preferred.
- Collaborative team player with a hands-on approach to development.
- Master’s or PhD in a related field; publications or patents are a plus.
- Citizen or Green Card Holder; not able to sponsor at this time.
Qualified candidates please send resume to Karen@PeopleConnectStaffing.com
- Location:
- Seattle, WA, United States
- Salary:
- $200,000 - $250,000
- Category:
- Engineering
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