ML Architect

  • Menlo Park, CA
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
$300,000 - $500,000
Full Time

Skills

System Design
AI/ML-based architecture
Vertex AI
Python
Erlang
Elixir

Job Details

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

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