AI Research Assistant (PhD) Job at Meta (London)

Phd Student Physical AI Agents / AI Robotics Production

In the team 'Digital & AI Technologies', we shape the automotive production and ...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in the fields of (industrial) engineering, (industrial) computer science, or a comparable field of study
In-depth knowledge in the field of artificial intelligence (expertise in a specific area such as AI Agents and AI Robotics is an advantage)
Practical experience in the field of production and logistics (e.g., as a research assistant, working student, or through internships) is desirable
Enjoyment in working on complex issues
Experience in project management
Business-oriented thinking and acting, with high motivation and commitment
Strong team and communication skills, including intercultural competence
German or English language level C1

Job Responsibility

Identifying potential application areas of Physical AI Agents / AI Robotics for systematically realizing cost-saving potentials in manufacturing
Investigating technological options (Reinforcement Learning, Large Action Models, etc.) and developing guidelines for the level of autonomy of AI
Developing a comprehensive concept for the use of Physical AI Agents in production and validating it based on concrete use cases
Leading practical digitalization and AI projects in production and scouting the latest technologies in the context of Industry 4.0
Contributing to the further development of the department in an agile team and in a modern work environment

What we offer

Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
Special conditions for the purchase and leasing of vehicles
Free seminars on scientific work and interdisciplinary qualifications
Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group

Fulltime

PhD Student AI Innovations

How do you imagine the car of the future - intuitive, connected, personal? And w...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in computer science, business informatics, industrial engineering or a related field
extensive knowledge in the field of artificial intelligence, data analysis, statistics, human machine interface and user experience required
sound programming skills, preferably in Python, C++, R, MATLAB
strong initiative, willingness and ability to work in a team and structured way of working
strong communication and presentation skills
English language level B2 and German language level C1

Job Responsibility

Researching the current state of the art in the areas of embedded LLMs, SLMs, edge-to-cloud deployments, multimodal LLMs and action models
deriving legislative, safety-critical and geographical requirements for processing data in the automotive context, e.g. on the basis of use cases
developing architectural concepts for data processing onboard and in-cloud, taking into account hardware requirements, implementing an assistant that processes static and dynamic driver-vehicle environment information including acoustic, haptic and visual input as well as a framework and a software architecture
implementing and applying the concepts on defined hardware, conducting empirical investigations as well as evaluating and classifying the concepts
documenting and preparing research results for internal stakeholders and the scientific community

What we offer

Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
special conditions for the purchase and leasing of vehicles
free seminars on scientific work and interdisciplinary qualifications
participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group

Fulltime

Research Program Manager

At Furhat Robotics we believe robots, done right, can have an incredible impact ...

Location

Sweden , Stockholm

Salary:

Not provided

Furhat Robotics

Expiration Date

Until further notice

Requirements

PhD in robotics, AI, cognitive science, computer science, or related fields
3+ years of experience in research project coordination, preferably within EU-funded programs (can be during doing your PhD)
Prior experience in academia or at a research-intensive company/startup
Experience with grant proposal preparation and academic consortium management
Experience setting up and supervising successful Master's student theses
Strong organizational and communication skills
Excellent English (written and spoken)
Interest in human-robot interaction, AI, and social technologies

Job Responsibility

Manage active EU-funded projects (e.g. Horizon Europe, Marie Skłodowska-Curie, etc)
Coordinate reporting, deliverables, and partner communication
Oversee project budgets, timelines, and compliance with funding rules
Represent Furhat in consortium meetings and reviews
Prepare and submit project reports, financial summaries, and audits
Supervise or co-supervise staff (PhD and Masters students)
Develop and maintain relationships with academic labs and scientific institutions using Furhat
Track and report research publications, thesis projects, and new use cases involving Furhat robots
Identify and support promising research groups with technical and community assistance
Supervise and coordinate MSc thesis students and research interns hosted at Furhat

Principal Applied Researcher AI/NLP

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

United States

Salary:

195800.00 - 217500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

PhD or comparable level of experience in Computer Science, Math, Physics, Engineering or a related field
4-10+ year industry experience building solutions in commercial SaaS, including at least 4 years working in applications of NLP, Search or AI/ML technologies for healthcare
Strong interest in applying AI/ML/NLP to healthcare related problems and data
Expert-level practical, hands-on experience developing and applying a wide range of techniques in Natural Language Processing, including fine tuning of LLMs and other Transformer models, plus one or more additional AI/ML or Search related areas of expertise to solve real-world problems at scale
Demonstrated ability to lead and perform research and experimentation to select appropriate approaches, algorithms, evaluation methods, and frameworks, as well as tasks such as feature selection, language modeling, evaluation and fine tuning or training models, applying standard approaches or developing new tools or workflows as needed to meet project requirements
Significant experience building and deploying AI/machine learning and NLP models for large-scale SaaS products, including familiarity with industry standard software development concepts such as scaling issues, version control, CI/CD pipelines, and security
Solid understanding and experience with transformer models and multiple kinds of NLP and ML models and approaches including logistic regression, random forest, ensemble methods, SVM, KNN, reinforcement learning, and other ML techniques
Proficiency in Python and Java required. Proficiency in JavaScript or TypeScript and modern UI frameworks for building prototype or tool front ends desired
Proficiency doing data engineering for ML and NLP applications, including exposure to database systems and proficiency with SQL
Proficiency building models from big data using modern packages, models and data analysis stacks such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, Keras, LightGBM, fastText, NLTK, and spaCy. Proficiency fine tuning Hugging Face Transformers required

Job Responsibility

You will be applying NLP including GenAI and other AI/ML techniques to develop model systems and solutions, collaborating across functions to scale and integrate advanced solutions into successful end user experiences in large-scale cloud based SaaS production environments for healthcare
You will be working with product leaders, clinical informaticists, data scientists, UI/UX researchers and designers, other AI and machine learning and domain experts, engineering teams and others, including work with customers and users who are healthcare professionals
Design, build and evaluate solutions that may involve structured or unstructured data including speech or natural language for healthcare use cases, delivering capabilities such as summarization, predictive models, recommenders, semantic search, extraction, classification or other NLP, AI or machine learning based techniques
You will be performing research and experimentation to select appropriate approaches, algorithms, evaluation methods and frameworks and doing the R&D to deliver model systems
You will perform, oversee and assist in data collection, data cleaning, data analysis, algorithm selection or design, prompt tuning, parameter fine tuning, training, development and evaluation of systems that deliver responsible AI solutions at scale, using existing or developing new tools or workflows as needed
As a principal applied researcher, you will bring deep technical expertise and also provide mentorship on advanced AI, NLP, data science, statistical and machine learning methods and technologies, helping the organization develop new capabilities for innovative solutions
You will have substantial independence and responsibility from day one

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

Research Scientist, Human AI Interaction

As a Research Scientist, Human–AI Interaction, you will play a pivotal role in d...

Location

United States , San Francisco, CA, New York, NY

Salary:

350000.00 - 420000.00 USD / Year

Handshake

Expiration Date

Until further notice

Requirements

PhD or equivalent experience in Human–Computer Interaction, Computer Science, Cognitive Science, or a related field, with a strong emphasis on empirical evaluation of interactive AI/LLM systems
3+ years of academic or industry research experience post-PhD, including leadership on complex research initiatives and analyzing data from a real AI product
Strong publication record, with demonstrated impact in top-tier AI (NeurIPS, ICML, ICLR, ACL) and HCI (CHI) venues
Deep expertise in experimental design and measurement, particularly for: Task performance and human activity
Comparative evaluation frameworks
Mixed-methods research grounded in real-world behavior
Strong technical and coding skills, including: Python and data analysis / ML tooling
Experience building experimental systems and benchmark infrastructure
Familiarity working with LLM APIs, agent frameworks, or AI-assisted tooling
Proven ability to define and lead research agendas that connect human work, AI capability, and business or economic impact

Job Responsibility

Lead high-impact research on jobs-to-be-done benchmarks for AI systems, including: Defining task taxonomies grounded in real professional and economic activities
Identifying what constitutes meaningful task completion, quality, and success
Translating qualitative work understanding into measurable, repeatable benchmarks
Develop methods to measure human activity in AI-mediated workflows
Design benchmarks to assess AI-as-a-collaborator/copilot, rather than autonomous agents / basic Q&A
Design and run empirical studies of how people use AI to solve tasks, including: Controlled experiments and field studies measuring task performance
Instrumentation for capturing fine-grained interaction traces and outcomes
Drive strategy for professional-domain AI benchmarks, focusing on: Understanding domain-specific workflows (e.g., analysis, writing, planning, coordination)
Grounding benchmark design in how work is actually performed, not idealized tasks
Build and prototype AI systems and evaluation infrastructure to support research and Data production, including: LLM-powered copilots and experimental tools used for task-level measurement

What we offer

Equity in a fast-growing company
401(k) match, competitive compensation, financial coaching
Paid parental leave, fertility benefits, parental coaching
Medical, dental, and vision, mental health support, $500 wellness stipend
$2,000 learning stipend, ongoing development
Internet, commuting, and free lunch/gym in our SF office
Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week
Team outings & referral bonuses

Fulltime

AI Research Scientist, VLM (vision language models)

About Meta: Meta builds technologies that help people connect, find communities,...

Location

United States , Menlo Park

Salary:

184000.00 - 257000.00 USD / Year

Senior Applied AI Engineer

We’re hiring a Senior Applied AI Engineer to join a fast‑moving, high‑ownership ...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience
2+ years shipping production-level code, models, or data analysis
1+ years using AI-assisted coding and analysis techniques
Experience working on small teams and mid-stage startup environments
Experience working on AI products
PhD in engineering, applied math, statistics, or related analytical field
4+ years shipping production-level code, models, or data analysis
Deep experience building from zero-to-one
Hands on work hillclimbing AI evaluations

Job Responsibility

Design and ship LLM‑powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions
Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency
Prototype new capabilities rapidly and iterate based on user signals and evaluation data
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality
Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance
Analyze failure modes, design mitigations, and drive systematic improvements across the stack
Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines
Create reusable frameworks that accelerate the entire AI org’s ability to ship high‑quality assistant features
Integrate LLMs with product surfaces, APIs, and backend systems
Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence

Fulltime

Member of Technical Staff, Applied AI Engineer

We’re hiring a Applied AI Engineer to join a fast‑moving, high‑ownership team bu...

Location

United States , Mountain View

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
2+ years shipping production-level code, models, or data analysis.
1+ years using AI-assisted coding and analysis techniques.
Experience working on small teams and mid-stage startup environments.
Experience working on AI products.
PhD in engineering, applied math, statistics, or related analytical field.
4+ years shipping production-level code, models, or data analysis.
Deep experience building from zero-to-one.
Hands on work hillclimbing AI evaluations.

Job Responsibility

LLM Feature & Agent Development
Design and ship LLM‑powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.
Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
Evaluation, Hillclimbing & Quality Systems
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
LLM Tooling & Internal Infrastructure
Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines

Fulltime

AI Research Assistant (PhD)

Meta

Location:
United Kingdom , London

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 16, 2026

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