PCRecruiter - Recruitment Software & Applicant Tracking System
Erlang AI/ML Developer
PCRecruiter - Recruitment Software & Applicant Tracking System, Menlo Park, California, United States, 94029
Erlang AI/ML Developer
Location:
Hybrid - Menlo Park, CA About the Opportunity Our client is a rapidly scaling pioneer in intelligent robotics and real-time automation. Their cloud-native orchestration platform fuses distributed Erlang back-end services with modern AI/ML pipelines to keep global fulfillment networks running at peak efficiency. As an Erlang AI/ML Developer, you will own high-impact, fault-tolerant services that drive split-second decisions across fleets of autonomous devices - bringing cutting-edge research out of the lab and into mission-critical production environments. Key Responsibilities Design, code, and deploy Erlang/OTP micro-services that host AI inference, rules engines, and data streaming for real-time robotics orchestration. Partner with data scientists to convert Python-based models (TensorFlow, PyTorch, ONNX) into low-latency production services accessible through REST / gRPC endpoints. Optimise concurrency, supervision trees, and message-passing patterns to meet stringent
Refactor legacy algorithms for scalability, memory footprint, and observability—instrumenting with Prometheus, OpenTelemetry, and Grafana metrics. Guide code reviews, champion functional-programming best practices, and mentor engineers on Erlang concurrency patterns. Build automated load-test simulations that validate system behaviour at >10 000 events per second before every release. Skill Set & Qualifications 4 + years professional software engineering experience; 2 + years hands-on Erlang/OTP in production environments. Proven record building or maintaining AI/ML or real-time decision systems (stream processing, feature stores, online inference). Deep understanding of distributed, high-availability architectures, supervision hierarchies, and hot-code upgrades. Proficiency with SQL/NoSQL datastores and event buses (Kafka, RabbitMQ, NATS). Working knowledge of containerization (Docker) and orchestration (Kubernetes or Nomad) in CI/CD pipelines. Bachelor’s degree (or higher) in Computer Science, Software Engineering, or related field. Bonus points for experience in robotics, edge computing, or telecom-grade real-time systems. Applicants must be authorized to work in the United States without current or future sponsorship. What Makes This Role Exciting Direct ownership of green-field Erlang services powering AI-driven robotics at global scale. Hybrid schedule - three days each week collaborating onsite with a world-class engineering group in Menlo Park, CA, two days remote for deep-work focus. Competitive base, performance bonus, equity, and fully-funded benefits. Culture built on technical excellence, knowledge-sharing, and rapid experimentation. 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
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Hybrid - Menlo Park, CA About the Opportunity Our client is a rapidly scaling pioneer in intelligent robotics and real-time automation. Their cloud-native orchestration platform fuses distributed Erlang back-end services with modern AI/ML pipelines to keep global fulfillment networks running at peak efficiency. As an Erlang AI/ML Developer, you will own high-impact, fault-tolerant services that drive split-second decisions across fleets of autonomous devices - bringing cutting-edge research out of the lab and into mission-critical production environments. Key Responsibilities Design, code, and deploy Erlang/OTP micro-services that host AI inference, rules engines, and data streaming for real-time robotics orchestration. Partner with data scientists to convert Python-based models (TensorFlow, PyTorch, ONNX) into low-latency production services accessible through REST / gRPC endpoints. Optimise concurrency, supervision trees, and message-passing patterns to meet stringent
Refactor legacy algorithms for scalability, memory footprint, and observability—instrumenting with Prometheus, OpenTelemetry, and Grafana metrics. Guide code reviews, champion functional-programming best practices, and mentor engineers on Erlang concurrency patterns. Build automated load-test simulations that validate system behaviour at >10 000 events per second before every release. Skill Set & Qualifications 4 + years professional software engineering experience; 2 + years hands-on Erlang/OTP in production environments. Proven record building or maintaining AI/ML or real-time decision systems (stream processing, feature stores, online inference). Deep understanding of distributed, high-availability architectures, supervision hierarchies, and hot-code upgrades. Proficiency with SQL/NoSQL datastores and event buses (Kafka, RabbitMQ, NATS). Working knowledge of containerization (Docker) and orchestration (Kubernetes or Nomad) in CI/CD pipelines. Bachelor’s degree (or higher) in Computer Science, Software Engineering, or related field. Bonus points for experience in robotics, edge computing, or telecom-grade real-time systems. Applicants must be authorized to work in the United States without current or future sponsorship. What Makes This Role Exciting Direct ownership of green-field Erlang services powering AI-driven robotics at global scale. Hybrid schedule - three days each week collaborating onsite with a world-class engineering group in Menlo Park, CA, two days remote for deep-work focus. Competitive base, performance bonus, equity, and fully-funded benefits. Culture built on technical excellence, knowledge-sharing, and rapid experimentation. 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
#J-18808-Ljbffr