Research Scientist, AI/ Machine Learning Job at Proclinical (Cambridge)

Machine Learning Research Scientist

This role focuses on cutting-edge research and development in Artificial Intelli...

Location

United States , Milpitas

Salary:

117500.00 - 270000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning for the dissertation
extensive experience in deep learning research, preferably in Large Language Models or Reinforcement Learning
experience developing applications with deep learning frameworks like PyTorch with a high software proficiency
strong programming skills in Python, data structures, and algorithms are required
experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization desired
experience in Python Web Frameworks – Django, Flask - a plus but not required.

Job Responsibility

conducting research, developing solutions, and creating intellectual property in emerging fields like reinforcement learning, LLMs, digital twins, clean energy, data center optimization, and sustainability
developing advanced technologies for analysis, optimization, time series forecasting, uncertainty quantification, and control
providing thought leadership, collaborating internally and externally, and contributing to HPE’s strategy by identifying emerging technologies
publishing in top conferences like NeurIPS, AAAI, and ACL
developing patent applications
software development, GPU acceleration, model optimization, and real-time data streaming to create robust AI solutions for real-world use cases.

What we offer

a competitive salary and extensive social benefits
diverse and dynamic work environment
work-life balance and support for career development
health and wellbeing programs
personal and professional development programs
diversity, inclusion, and belonging initiatives.

Fulltime

Research Scientist - Generative AI

As a Research Scientist in the Emergent Machine Intelligence Team at Hewlett Pac...

Location

United States , Santa Barbara

Salary:

101900.00 - 234500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
Creative and analytical thinking abilities, with a passion for solving complex problems
Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences.

Job Responsibility

Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
Developing and prototyping novel algorithms for fine-tuning, retrieval augmented generation, and in-context learning for various generative models
Developing algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
Engage with the academic community by attending conferences, workshops, and seminars.

What we offer

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development.

Fulltime

Research Scientist - Generative AI

This role involves conducting high-quality research in generative AI, designing ...

Location

United States

Salary:

101900.00 - 234500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
Creative and analytical thinking abilities, with a passion for solving complex problems
Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences

Job Responsibility

Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
Developing and prototyping novel algorithms for fine-turning, retrieval augmented generation, and in-context learning for various generative models
Developing algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
Engage with the academic community by attending conferences, workshops, and seminars

What we offer

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Post Doctoral Machine Learning Research Scientist

The Core Machine Learning Research team within the Artificial Intelligence Resea...

Location

United States , Milpitas

Salary:

47.75 - 72.00 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning
Extensive experience in deep learning research is required, preferably with Reinforcement Learning and Large Language Models
Experience in developing applications with deep learning frameworks like PyTorch with a high software proficiency

Job Responsibility

LLM and agentic architectures with refinements to enhance trust for complex applications and workflows
Multi-agent and multi-objective reinforcement learning for complex physical systems
Generative models and Optimization for scientific domains such as inertial confinement fusion
Scalable, safe AI systems that push the boundary of what’s possible in applied ML

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs catered to helping you achieve career goals
Inclusive working environment
Collaborations with top-tier research institutions, national labs, and global AI initiatives

Fulltime

AI and Machine Learning Engineer

AI and Machine Learning Engineer role at Hewlett Packard Enterprise focusing on ...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Master's degree is desirable
Typically 5-7 years' experience
Deep understanding of machine learning algorithms such as linear regression, decision trees, support vector machines, random forests, deep learning models, and reinforcement learning
Strong foundation in mathematics and statistics including linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience with software engineering best practices, version control systems, and software development methodologies
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras
Proficiency in using agentic frameworks like langGraph or similar frameworks
Knowledge in lineage tracking of agentic architectures

Job Responsibility

Conduct advanced research in AI and machine learning
Stay up to date with latest advancements in the field
Explore emerging technologies and identify opportunities to apply cutting-edge techniques
Evaluate traditional AI/ML and Gen-AI based applications during development phase and in production
Design solutions considering scalability, performance, and maintainability
Provide technical guidance and mentorship to junior team members
Collaborate with cross-functional teams including product managers, data scientists, and business analysts
Drive continuous improvement and innovation in AI and machine learning practices
Evaluate and integrate third-party tools or services
Facilitate design review sessions

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Machine Learning Research Engineer

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Research Scientist, AI/ Machine Learning

Proclinical

Location:
United States , Cambridge

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 22, 2026

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