ML Architect

ML Architect

An innovative and rapidly scaling SaaS platform, backed by over $500M in growth equity, is revolutionizing intelligent systems and autonomy across logistics and high-density fulfillment environments. With impressive ARR growth and a prestigious customer base, this pre-IPO disruptor is building toward the next frontier of AI-powered decision-making.

This firm is searching for an advanced AI professional to drive architectural innovation across multi-agent systems. This is a rare opportunity to lead the evolution of intelligent pathfinding frameworks powered by deep learning and reinforcement learning. The selected candidate will architect distributed, scalable systems that enable real-time planning and autonomous decision-making at scale.

This Role Offers:

• Hybrid role with flexible work model (Redwood City area preferred).

• Base salary, commensurate with experience and impact.

• Competitive equity package, performance bonuses, and top-tier benefits.

Focus:

• Spearhead design and development of distributed systems for multi-agent path planning using AI/ML algorithms.

• Oversee the deployment of machine learning and reinforcement learning models within production environments using modern MLOps frameworks.

• Design and optimize ML pipelines for continuous data ingestion, training, deployment, monitoring, and feedback adaptation.

• Integrate AI models with orchestration engines that facilitate real-time learning and system adaptability.

• Serve as the architectural thought leader across ML engineering, software, robotics, and operational stakeholders.

• Partner with cross-functional teams to translate real-world operational challenges into scalable, intelligent solutions.

Skill Set:

• Bachelor s or Master s degree in Computer Science, AI/ML, or related field.

• 12+ years of experience in system design, including 7+ years in AI/ML-based architecture, and at least 2 years in leadership roles.

• Extensive background in building and scaling machine learning pipelines, with experience using tools such as Vertex AI or similar platforms.

• Strong foundation in graph-based pathfinding, real-time optimization, and multi-agent system algorithms.

• Deep fluency in reinforcement learning, deep learning, and probabilistic decision-making frameworks.

• Proficiency in Python and familiarity with concurrency-first functional programming languages (e.g., Erlang, Elixir) is a plus.

• Advanced understanding of distributed computing, event-driven systems, microservices, and real-time architecture.

• Experience with containerized deployments using Docker and Kubernetes in cloud environments (especially Google Cloud Platform).

• Solid computer science fundamentals (memory management, networking, OS, concurrency).

Bonus Qualifications:

• Contributions to peer-reviewed research, patents, or open-source initiatives related to RL, MAPF, or distributed AI.

• Experience in mission-critical environments requiring safety, adaptability, and fault tolerance.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS