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The Staff Security Engineer will collaborate with Product teams on secure product development, conduct threat modeling, review architecture and source code, and advise on security requirements.
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As Order Management Manager, you'll manage the performance of Babylist's order network, lead operations specialists, and enhance fulfillment processes through data analysis and cross-functional collaboration.
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Lead Cloud Security and Compliance practice at RapidScale, focusing on AI-driven security strategies, team management, client engagements, and developing innovative security offerings.
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As the Senior Manager, R&D – AI Engineering, you will play a critical leadership role in shaping IMO Health’s AI innovation strategy. You will oversee a team of PhD-level researchers and guide the development of transformative AI solutions that drive real-world impact across healthcare. Your focus will be on accelerating IMO's AI maturity through deep technical rigor, operational excellence, and strategic alignment with product and engineering. You will lead the establishment of an AI Center of Excellence, serve as a key voice in technical strategy, and ensure that research investments directly contribute to business growth and industry leadership.
WHAT YOU'LL DO:
- Lead and scale a high-performing team of AI researchers, instilling a culture of innovation, scientific excellence, and business impact.
- Define and drive the AI R&D strategy, aligning research priorities with IMO’s broader product vision and enterprise goals.
- Oversee the full research lifecycle, from ideation and hypothesis formation to experimentation, validation, and readiness for production deployment.
- Serve as a strategic thought partner to Product, Engineering, and Enterprise Architecture leadership, identifying and framing high-value AI research initiatives.
- Ensure research translation, guiding the seamless integration of novel AI technologies into real-world products and platforms.
- Establish and evolve the AI Center of Excellence, setting best practices for experimentation, reproducibility, model evaluation, and responsible AI.
- Advance the state of AI at IMO Health, staying ahead of industry trends in machine learning, LLMs, generative AI, and healthcare AI, and infusing those insights into the roadmap.
- Champion responsible AI principles, embedding fairness, explainability, and accountability into research processes and model evaluation frameworks.
- Represent AI R&D at the executive level, contributing to cross-functional strategy, investment decisions, and technical leadership forums.
- Mentor, hire, and develop top-tier AI talent, while fostering an inclusive, collaborative, and intellectually curious team environment.
WHAT YOU'LL NEED:
- PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 10+ years of experience in AI/ML R&D, with a proven record of delivering applied innovation and leading through ambiguity.
- 5+ years of experience managing researchers or applied scientists in a high-impact setting, ideally within a scaling tech or healthcare company.
- Deep expertise in modern machine learning techniques, including LLMs, generative models, and neural architectures.
- Advanced proficiency with Python and key ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
- Experience with MLOps best practices and modern cloud platforms (AWS, Azure, etc.).
- Exceptional communication skills with the ability to influence across senior technical and non-technical stakeholders.
NICE TO HAVE:
- Experience applying AI in healthcare or life sciences.
- A publication record or track record of contributions to the AI research community.
- Familiarity with regulatory, privacy, or ethical considerations in healthcare AI.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
