Machine Learning Architect in Cybersecurity and Observability

3 days ago

New York, New York, United States Lifelancer Full time

About Us

Lifelancer is a talent-hiring platform that connects professionals with opportunities in pharma, biotech, health sciences, healthtech, and IT domains.

Job Overview

We are seeking an experienced Machine Learning Architect to join our team. As a key player in defining and executing the technical roadmap for our AI group, you will develop core AI/ML models and algorithms that drive our product's key use cases in cybersecurity and observability.

Responsibilities

  • Lead the development of complex AI/ML models and algorithms using TensorFlow, PyTorch, or other frameworks.
  • Collaborate with cross-functional teams to translate business requirements into concrete objectives for our technology roadmap.
  • Mentor junior team members to ensure the development of their skills and knowledge.
  • Actively participate in strategic discussions related to AI research directions and product roadmaps.
  • Collaborate with fellow technical leaders to ensure the successful and timely delivery of AI/ML models and service integration.
  • Stay up-to-date with the latest research and developments in AI/ML and incorporate these advancements into our technology roadmap.
  • Develop production code and advocate for best coding and engineering practices.
  • Participate in project planning, review, and retrospective sessions.
  • Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.

Requirements

  • PhD in Computer Science or a related field with at least 10 years of experience OR MS in Computer Science or related field with at least 15 years of industry experience.
  • Demonstrated experience in leading impactful AI product development at scale.
  • Deep understanding of ML frameworks and programming languages commonly used in AI research.
  • In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
  • In-depth knowledge and proven track record in Generative AI technology and Large Language Models (LLM).
  • Experience developing large-scale, complex models and deploying them in production systems.
  • Experience with large-scale data processing and parallel computing – GPU, multi-GPU and distributed training.
  • Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems.
  • Strong problem-solving skills and ability to translate research insights into practical solutions.
  • Excellent communication skills with ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Experience mentoring and guiding junior researchers or team members.
  • Experience in the Cybersecurity and/or Observability industry is preferred.

Salary Range

$193,920 - $333,300 per year

Benefits

Lifelancer provides flexibility and choice in working arrangements for most roles, including remote and/or in-office options. We have a market-based pay structure which varies by location. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards. Benefits include medical, dental, vision, a 401(k) plan and match, paid time off, and more. Learn more about our benefits package at SplunkBenefits.com.

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