Senior Manager, Machine Learning Engineering

2 hours, 24 minutes ago
Full-time
Lead
Software Development
New Relic

New Relic

New Relic provides a comprehensive observability platform that enables engineers to monitor, debug, and enhance the performance of their entire software stack through real-time analytics and insights.

Internet Software & Services
1K-5K
Founded 2008
$520M raised

Description

  • Lead, mentor, and grow a team of research engineers while fostering a culture of curiosity, experimentation, and delivery.
  • Define and prioritize the AI research roadmap, including techniques in language models, knowledge graphs, reinforcement learning, and algorithmic analysis.
  • Translate research papers into hypotheses, proofs of concept, and production-ready features in collaboration with product and platform teams.
  • Serve as a technical thought leader who communicates complex AI concepts as product strategies to stakeholders and the broader tech community.
  • Apply AI/ML methods to large telemetry and observability datasets to solve novel, high-scale enterprise problems.
  • Guide the full innovation lifecycle from research exploration through prototyping, validation, and product shipment.

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, AI, Machine Learning, or a related field from a top-tier institution.
  • 15+ years of experience in applied AI/ML.
  • At least 5 years of experience leading high-performing research or applied science teams.
  • Proven history of leading research initiatives that resulted in shipped products, patents, or publications in venues such as NeurIPS, ICML, KDD, or ACL.
  • Deep technical expertise in one or more of the following: NLP and LLMs/RAG, graph machine learning and knowledge graphs, or time-series analysis, anomaly detection, or causal inference.
  • Comfort operating as a player-coach across theoretical model design and pragmatic engineering trade-offs.
  • Preferred: direct experience in AIOps, observability, telemetry, or IT operations.
  • Preferred: experience building and scaling ML services in cloud-native environments such as AWS, GCP, or Azure.
  • Preferred: hands-on proficiency with Python and modern ML frameworks such as PyTorch, TensorFlow, LangChain, or LlamaIndex.
  • Visa sponsorship is not available for this position.

Benefits

  • Flexible workforce model with fully office-based, fully remote, or hybrid work options.
  • Commitment to a diverse, welcoming, and inclusive environment.
  • Reasonable accommodation support during the application or recruiting process.
  • Consideration of qualified applicants with arrest and conviction records in accordance with applicable law.
  • Export compliance guidance provided later in the hiring process if relevant.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Engineering Manager, Machine Learning

Overstory 11-50 Utilities

Overstory is hiring an ML Engineering Manager to lead cross-functional machine learning and data teams developing AI- and satellite-imagery-driven capabilities that help utilities reduce wildfire risk and improve grid resilience.

Machine Learning Python
24 minutes ago

Data Engineering Manager

Overstory 11-50 Utilities

Overstory is hiring a Data Engineering Manager to lead distributed data engineering and GIS teams that build the data platforms and pipelines supporting ML-powered products for a more resilient electric grid.

Apache Airflow Dagster GCP Grafana Kubernetes Machine Learning PostgreSQL Python SQL
24 minutes ago

Engineering Manager, SSCS: Supply Chain

GitLab 1K-5K Internet Software & Services

GitLab is hiring an Engineering Manager to lead the Software Supply Chain Security Add-On team in delivering enterprise security features and building a strong, predictable backend engineering operating model.

CI/CD
39 minutes ago

Engineering Manager, Continuous Delivery

GitLab 1K-5K Internet Software & Services

GitLab is seeking an Engineering Manager for GitLab CD to build and lead a new globally distributed team delivering next-generation continuous deployment capabilities within its DevSecOps platform.

CI/CD DevSecOps GitOps Go Kubernetes Ruby on Rails
39 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers