Technical Leader of Scientific AI Research Job at Kitware (Clifton Park)

Technical Leader of Scientific AI Research

Kitware is seeking an accomplished and visionary scientist or engineer to spearh...

Location

United States , Clifton Park

Salary:

150000.00 - 215000.00 USD / Year

Kitware

Expiration Date

Until further notice

Requirements

Ph.D. in a relevant field (e.g., computer science, physics, engineering, applied mathematics) with a strong track record of AI-driven scientific research
Proven ability to obtain research funding and manage large-scale, grant-funded projects
Experience leading or collaborating with interdisciplinary teams
Familiarity with HPC environments and large-scale simulations
Excellent communication and leadership skills, with the ability to build partnerships across academia, government, and industry
Due to contractual restrictions, only candidates who are U.S. persons (citizens, permanent residents, asylees, or refugees) will be considered for this position.

Job Responsibility

Team Formation & Leadership: Build and lead a high-impact, interdisciplinary team of scientists and engineers focused on AI-driven scientific discovery
Research & Development: Design and implement novel AI-based approaches to solve complex scientific challenges, with applications in materials science, energy technologies, large-scale experimental facilities, and HPC-based simulations
Collaboration & Integration: Collaborate with Kitware’s existing experts in C++, Python, CMake, VTK, ParaView, and Trame to develop state-of-the-art computational modeling, data analysis, and visualization workflows
Funding & Partnerships: Secure research funding through grant proposals and industry partnerships, driving the team’s growth and expanding Kitware’s impact in AI-enabled scientific discovery.

What we offer

Innovative Environment: Work with a team of experts committed to open science and cutting-edge technological advancement
Impactful Research: Lead projects with the potential to transform scientific discovery through AI-driven methods
Collaborative Culture: Partner with industry-leading scientists and engineers in a flexible and collaborative work environment
competitive compensation plan
tuition reimbursement program
flexible working hours
six weeks paid time off
401(k)
health insurance
life insurance

Fulltime

Associate Vice President for Research Computing

The Associate Vice President (AVP) for Research Computing serves as the senior e...

Location

United States of America , Rochester

Salary:

205245.00 - 328392.00 USD / Year

University of Rochester

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a relevant field of study.
Doctoral or advanced degree in a relevant field of study, advanced strongly preferred.
Minimum of 10 years of experience in informatics and computational research, with at least 5 years in a leadership role preferred.
Experience as a faculty member in higher education preferred.
Experience working in research-intensive higher education environment preferred.
Deep understanding of the research lifecycle and advanced knowledge of HPC architectures, scientific software, cloud-based research environments, and large-scale data storage.
Working knowledge of scientific concepts in fields such as biology, biochemistry, genomic, imaging, chemistry, physics and data science / AI
Proven ability to lead large technical teams, foster faculty partnerships, and manage multimillion-dollar research computing portfolios.
Strong communication skills and ability to interact effectively at all organization levels.
Broad IT experience including solutions architecture, application development, engineering, business analysis, and project management.

Job Responsibility

Lead the development and execution of a long-range strategic plan for research computing that supports the university’s R1 research mission, including investments in HPC, research storage, AI/ML environments, cloud platforms, secure data enclaves and staffing.
Collaborate with the Vice President for Research and IT, Deans, and faculty leaders to define institutional priorities, align resources, and support cutting-edge, interdisciplinary research initiatives.
Represent the University in national and international consortia focused on research computing infrastructure, research data governance, and secure research computing.
Serve as a strategic advisor to executive leadership on research policy, funding, and risk management related to advanced research computing.
Oversee Operations, performance, and lifecycle management of the University’s research computing environment, including HPC clusters and cloud platforms.
Lead cross-functional technical teams responsible for system design, user support, research application integration, and compliance with research security standards (e.g.NIST 800-171, FISMA)
Oversee service-level agreements, uptime metrics, downtime and maintenance procedures and communications and annual investment planning to ensure the environment remains resilient, scalable, and aligned with faculty needs.
Act as a campus-wide leader and trusted advisor to faculty and research teams across disciplines, proactively identifying research needs and aligning computational services accordingly.
Lead outreach, onboarding, and education programs that expand awareness of research computing services and improve access and usability for all research teams, especially those in emerging or underserved disciplines.
Oversee consultation and proposal development services that support grant applications, including effort related to compute budgeting, data management planning, and infrastructure letters of support.

Fulltime

Senior and Principal Applied Scientists

You're joining Core AI, the team at the forefront of redefining how software is ...

Location

United States , Redmond

Salary:

119800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Develop evaluation and measurement frameworks for single-agent and multi-agent systems, spanning quality, safety, reliability, cost, and behavioral consistency
Design methodologies that connect offline evals, online signals, and production telemetry to explain how prompt, tool, model, or orchestration changes affect real-world agent performance
Define scientifically grounded quality signals and benchmarks for agent systems, including task success, tool-use effectiveness, plan quality, failure modes, coordination quality, and user-perceived outcomes
Build models and analysis techniques that help detect regressions, identify root causes, and characterize agent behavior across diverse workflows and environments
Advance observability for AI systems through new approaches to trace analysis, agent health modeling, behavioral clustering, anomaly detection, and multi-agent coordination analysis
Partner with engineering teams to operationalize evaluation and observability methods in production systems, enabling safe iteration through staged rollouts, experimentation, A/B testing, and automated regression detection
Contribute to instrumentation and semantic standards for agent observability, helping make agent execution more explainable, diagnosable, and comparable across systems
Collaborate deeply with product and platform teams across Foundry, Azure Monitor, and agent runtimes to shape end-to-end experiences for evaluation, benchmarking, monitoring, and investigation
Act as a technical leader by setting scientific direction, driving research-informed product decisions, mentoring others, and raising the technical bar across the organization

Fulltime

Principal Applied Scientist

You’re joining Core AI, the team at the forefront of redefining how software is ...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Develop evaluation and measurement frameworks for single-agent and multi-agent systems, spanning quality, safety, reliability, cost, and behavioral consistency.
Design methodologies that connect offline evals, online signals, and production telemetry to explain how prompt, tool, model, or orchestration changes affect real-world agent performance.
Define scientifically grounded quality signals and benchmarks for agent systems, including task success, tool-use effectiveness, plan quality, failure modes, coordination quality, and user-perceived outcomes.
Build models and analysis techniques that help detect regressions, identify root causes, and characterize agent behavior across diverse workflows and environments.
Advance observability for AI systems through new approaches to trace analysis, agent health modeling, behavioral clustering, anomaly detection, and multi-agent coordination analysis.
Partner with engineering teams to operationalize evaluation and observability methods in production systems, enabling safe iteration through staged rollouts, experimentation, A/B testing, and automated regression detection.
Contribute to instrumentation and semantic standards for agent observability, helping make agent execution more explainable, diagnosable, and comparable across systems.
Collaborate deeply with product and platform teams across Foundry, Azure Monitor, and agent runtimes to shape end-to-end experiences for evaluation, benchmarking, monitoring, and investigation.
Act as a technical leader by setting scientific direction, driving research-informed product decisions, mentoring others, and raising the technical bar across the organization.

Fulltime

Principal Applied Scientist- M365 Copilot

The M365 Copilot team is building the next generation of intelligent assistant s...

Location

China , Beijing

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience
Strong algorithmic and modeling skills, with solid problem-solving capabilities
Academic background in RL, agent, or search systems is preferred
Demonstrated expertise on multi-turn agent orchestration, memory/context management, long‑horizon tasks, LLM pre-training and post-training is a strong plus
Excellent communication and collaboration skills, with the ability to thrive in cross-functional environments

Job Responsibility

Deliver cutting‑edge agent capabilities
Design, prototype, and ship advanced techniques to agentic AI systems, including planning/reasoning, agent memory, skills creator & discovery, and LLM/SLM post-training
Own solutions end‑to‑end, from scientific design to production impact
Drive research‑to‑production impact
Identify high‑leverage scientific problems and translate state‑of‑the‑art research into scalable, reliable, and measurable product improvements, partnering closely with engineering and product teams
Own scientific quality and evaluation
Define quality bars and evaluation strategies for agent behavior, reasoning, grounding, and safety
diagnose failure modes and drive systematic, data‑driven improvements
Provide technical leadership and mentorship
Act as a technical leader for applied science work, mentor other scientists, influence system design, and raise the bar for scientific rigor and execution quality

Fulltime

Senior Director, R&D Bangalore

The Sr Director, R&D Bangalore is responsible for leading a large R&D team compr...

Location

India , Bangalore

Salary:

Not provided

Danaher Corporation

Expiration Date

Until further notice

Requirements

18–20 years of R&D experience
10+ years in leadership roles, preferably within bioprocessing or life sciences
advanced degree in engineering or related scientific discipline preferred
proven ability to lead global, cross-cultural teams in product development and research
demonstrated success in systems engineering and scientific innovation, driving new product development, lifecycle management, and strategic programs
expertise in structured development processes, including toll-gate reviews, stakeholder alignment, and integration of engineering and scientific principles across business functions
strong capability to anticipate trends, navigate ambiguity, and build technology strategies that leverage AI, software-driven solutions, and advanced analytics for bioprocessing applications
deep understanding of customer needs and scientific challenges, with a track record of translating insights into impactful solutions and building enduring global stakeholder relationships

Job Responsibility

Lead a multidisciplinary R&D organization driving scientific innovation and systems engineering excellence for Bioprocessing applications
Partner with global Cytiva Business Units and senior technical leadership to deliver research, product development, and life cycle programs
Define and implement robust systems engineering practices across complex instrument platforms
Drive architecture decisions, risk management, and system-level verification and validation
Champion scientific rigor in bioprocessing solutions, leveraging emerging technologies in AI, machine learning, advanced sensors, and computational modeling
Collaborate closely with software development teams to embed intelligent algorithms, predictive analytics, and automation into instrument platforms
Identify breakthrough opportunities with Cytiva business units and establish technology strategies for next-generation platforms
Lead a team of scientists, systems engineers, and technical leaders, ensuring high engagement and performance
Attract, develop, and retain top scientific and technical talent
Lead and execute charters for cross Danaher India R&D Board in line with strategic priorities

What we offer

Broad array of comprehensive, competitive benefit programs that add value to our lives
health care program
paid time off

Product Marketing Manager, Research & Modalities

We’re looking for a Product Marketing Lead, Research & Modalities to define and ...

Location

United States , San Francisco

Salary:

191250.00 - 258750.00 USD / Year

Benchling

Expiration Date

Until further notice

Requirements

Bachelor’s degree required
advanced degree (scientific, technical, or business) preferred
10+ years in product marketing or related roles within B2B SaaS, AI, or life sciences technology
Strong curiosity to understanding of biotech R&D — especially molecular biology, cell engineering, and emerging modalities such as biologics, RNA, and cell/gene therapies
Ability to engage confidently with R&D scientists and IT leaders, translating complex science into clear business value
Excellent collaborator with proven ability to align Product, Sales, and Marketing around shared outcomes
Passion for software, AI, and data technologies shaping the future of biotech R&D

Job Responsibility

Define positioning, segmentation, and narrative for Benchling’s Research and Modality portfolio
Translate scientific and technical capabilities into clear, differentiated messaging and content
Lead go-to-market strategy and execution for new and existing products, driving adoption and revenue growth
Develop enablement materials — customer stories, presentations, and competitive insights — to equip Sales and Customer Experience teams
Conduct and synthesize market research to understand customer needs, trends, and competitive dynamics
Partner closely with Product Management and Strategy to influence roadmap priorities and ensure product-market fit
Align cross-functional teams around shared goals, launches, and success metrics

What we offer

Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents
Monthly Wellness stipend
Learning and development stipend
Generous and flexible vacation
Company-wide Winter holiday shutdown

Fulltime

ML Tech Lead Manager

Abridge is building an AI platform for clinical conversations to solve the admin...

Location

United States , San Francisco

Salary:

246500.00 - 290000.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

7+ years of experience in machine learning/NLP, with a strong track record of impactful publications and deployed systems
3+ years of experience as technical lead for a project of 4 or more individuals
2+ years of direct management experience, managing Researchers and Applied Scientists
Deeply technical, with expertise across NLP and LLMs—e.g., pre-training/post-training/SFT/RL, retrieval augmented generation (RAG), reasoning capabilities, multilinguality, multimodality, synthetic data generation, noise robustness, judges, and evaluation
Comfortable bridging research, product, and engineering, translating novel ideas into robust, scalable systems that deliver real-world impact
Have fluency with libraries for scientific computing (e.g. SciPy, Numpy) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas)
A thoughtful leader: you foster a feedback-rich culture, set a high bar for scientific rigor, and empower your team through mentorship, clear vision, and mutual trust
Up-to-date on the latest in NLP and ML research, with excitement for continuous learning
Motivated to work in a fast-paced, collaborative environment where your team’s science has direct clinical impact
Must be willing to work from our SF office at least 3x per week

Job Responsibility

Lead, mentor, and scale a high-impact team of NLP/ML researchers, fostering a culture of technical rigor, creativity, and scientific excellence
Set R&D strategy that aligns with company priorities
Grow talent pipelines by recruiting world-class researchers and nurturing career development through coaching and mentorship
Balance long-term vision with near-term impact, ensuring research not only advances the field but also translates into product-grade systems
Partner with engineering teams and clinicians to operationalize novel algorithms into clinician-facing workflows, optimizing both quality and efficiency
Ensure safety and robustness in deployment, shaping the standards for evaluation in clinical AI
Represent Abridge in the global ML/NLP research community through publications, conference presentations, and industry/academic partnerships

What we offer

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA
Paid Parental Leave: Generous paid parental leave for all full-time employees
Family Forming Benefits: Resources and financial support to help you build your family
401(k) Matching: Contribution matching to help invest in your future
Personal Device Allowance: Tax free funds for personal device usage
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals

Fulltime

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Technical Leader of Scientific AI Research

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Technical Leader of Scientific AI Research

Technical Leader of Scientific AI Research

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