PeopleConnect Staffing .
Location: Remote in USA only; periodic travel to Seattle, Bay Area for team and client meetings.
Compensation: $200K - $215K upon funding.
Our client is on a mission to transform how professional organizations, industry associations, and expert communities solve problems, deliver value, and engage their members. They believe that with the right blend of innovation, leadership, and technology, these communities can play an even more powerful role in shaping industries and society. They are building intelligent, human-centered solutions that help these organizations thrive—combining the promise of AI with a deep understanding of how people and communities work. The company is led by experienced leaders in technology, product strategy, and go-to-market execution and is ready to scale.
Responsibilities
Serve as the technical leader driving core AI model development and deployment efforts.
Define and execute the AI and ML strategy, ensuring neuro-symbolic, human-in-the-loop applied vertical AI and agentic AI ecosystem solutions are robust, scalable, and state-of-the-art.
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; foster innovation and engineering excellence in areas such as natural language understanding, knowledge graph reasoning, and reinforcement learning for agentic behavior.
Embed within early customer environments to understand context, challenges, needs, and use cases to maximize relevance, adoption, and transformative value, during sales, onboarding, use, impact, and renewal phases.
Contribute to product-market fit, use case validation, reference ability, and renewal expansion through hands-on leadership and collaboration with cross-functional teams.
Qualifications/Requirements
5–10+ years of AI/ML experience, including at least 5 years building and deploying ML models and several years in a leadership or tech lead role.
Strong programming skills in Python; proficiency in C++ or Java.
Recent experience with TensorFlow, PyTorch, or scikit-learn.
Experience in distributed computing or big data (Spark, Hadoop).
Cloud platforms: AWS, GCP, Azure, with experience addressing scaling issues.
Balanced scientist and engineer: solid theoretical foundation in AI (algorithms, statistics, deep learning) and practical coding skills to implement and optimize models.
Track record delivering AI solutions into production, including scaling, data quality considerations, and monitoring live model performance.
Early-stage startup experience preferred.
Team player with a hands-on development approach.
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.
How to Apply
Qualified candidates please send resume to ...@PeopleConnectStaffing.com
Additional Details
Seniority level: Executive
Employment type: Full-time
Job function: Software Development
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Note: Some sections show salary listings and job postings in the marketplace; actual pay is determined by experience and may be adjusted upon funding.