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Senior Manager, Machine Learning Engineering

2 hours, 24 minutes ago
India
Full-time
Lead
AI Research Scientist
Software Development
AWS Azure GCP LLM Machine Learning NLP Python PyTorch Reinforcement Learning TensorFlow
Apply Now
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
View All Jobs 52

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

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