ActiveSoft, Inc
Principal Architect (MAPF / Robotics / AI)
ActiveSoft, Inc, Redwood City, California, United States, 94061
Direct message the job poster from ActiveSoft, Inc
Overview
We’re seeking a
Principal AI/ML Architect
to lead. This person should have
Machine Learning in Navigation , ideally in GreyMatter Multiagent Orchestration (MAO) Platform if possible. This is a
Full-time
and
Hybrid
(3 days onsite and 2 days remote) role in Redwood City, CA. Responsibilities
Define the technical roadmap for AI/ML capabilities. Integrate machine learning and reinforcement learning capabilities. Design scalable navigation and decision-making systems that drive intelligent robotic behavior across our fulfilment solutions. Technical Expertise
Strong knowledge of path planning, graph search algorithms, and optimization techniques for multi-agent systems. Deep understanding of machine learning, deep learning, and reinforcement learning. Experience using TensorFlow or PyTorch. Proven experience in building, deploying, and maintaining ML models in production environments. Hands-on experience with MLOps, including CI/CD for models, pipeline orchestration, and model monitoring. Proficiency in Python. Familiarity with Erlang, Elixir, or other concurrency-first functional programming languages is good to have. Solid understanding of concurrency, parallelism, and real-time systems. Strong CS fundamentals including algorithms, operating systems, networking, memory management, and performance tuning. Experience with distributed systems, microservices, and containerized deployments using Docker and Kubernetes. Knowledge of event-driven architectures. Familiarity with cloud platforms such as Google Cloud Platform (GCP), and specifically Vertex AI. Qualifications
Mid-Senior level experience in AI/ML architecture and system design. Job function
Analyst Location
Redwood City, CA
#J-18808-Ljbffr
We’re seeking a
Principal AI/ML Architect
to lead. This person should have
Machine Learning in Navigation , ideally in GreyMatter Multiagent Orchestration (MAO) Platform if possible. This is a
Full-time
and
Hybrid
(3 days onsite and 2 days remote) role in Redwood City, CA. Responsibilities
Define the technical roadmap for AI/ML capabilities. Integrate machine learning and reinforcement learning capabilities. Design scalable navigation and decision-making systems that drive intelligent robotic behavior across our fulfilment solutions. Technical Expertise
Strong knowledge of path planning, graph search algorithms, and optimization techniques for multi-agent systems. Deep understanding of machine learning, deep learning, and reinforcement learning. Experience using TensorFlow or PyTorch. Proven experience in building, deploying, and maintaining ML models in production environments. Hands-on experience with MLOps, including CI/CD for models, pipeline orchestration, and model monitoring. Proficiency in Python. Familiarity with Erlang, Elixir, or other concurrency-first functional programming languages is good to have. Solid understanding of concurrency, parallelism, and real-time systems. Strong CS fundamentals including algorithms, operating systems, networking, memory management, and performance tuning. Experience with distributed systems, microservices, and containerized deployments using Docker and Kubernetes. Knowledge of event-driven architectures. Familiarity with cloud platforms such as Google Cloud Platform (GCP), and specifically Vertex AI. Qualifications
Mid-Senior level experience in AI/ML architecture and system design. Job function
Analyst Location
Redwood City, CA
#J-18808-Ljbffr