AI Scientist Job at Bentley Systems (Quebec)

AI Scientist

At Mistral we are on a mission to democratize AI, producing frontier intelligenc...

Location

United States , Palo Alto

Salary:

Not provided

Assessfirst

Expiration Date

Until further notice

Requirements

Highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)
Hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)
High engineering competence, being able to design complex software and make it usable in production
Self-starter, autonomous and a team player

Job Responsibility

Research and develop novel methods to push the frontier of large language models
Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)
Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact

What we offer

Competitive salary and bonus structure
Generous Equity
Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)
401K (6% matching)
18 days PTO
Reimburse office parking charges, or $120/month for public transport
Betterup coaching on a voluntary basis
$120/month reimbursement for gym membership
$400 monthly allowance for meals
Visa sponsorship

Fulltime

Senior AI Scientist (Agentic AI)

We are on a lookout for a hands-on Senior AI Scientist (Agentic AI) to join the ...

Location

Germany , Berlin

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

2+ years of experience in applied AI/ML engineering with real-world deployments
Strong Python skills and experience with frameworks like LangChain, LlamaIndex, or Haystack
Deep knowledge of RAG, LLM mechanics, prompt design, and chaining
Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding models
You take ownership
You move fast but don't cut corners
You believe working code beats perfect plans

Job Responsibility

Architect and deploy agent-based systems using LangGraph, PydanticAI, LangChain, Google ADK, Claude SDK, or custom-built orchestration frameworks
Build and optimize RAG pipelines
Design self-evolving prompt systems and dynamic decision flows driven by LLMs
Develop APIs and services that let models talk to tools, data, and other systems
Monitor, evaluate, and automate model feedback loops using AI-based simulation and testing agents
Work cross-functionally with product and engineering teams to ship AI-native features

What we offer

Hybrid working model with 2 days per week in Berlin campus
27 days holiday with an extra day on 2nd and 3rd year of service
1.000 € Educational Budget
Language Courses
Parental Support
Access to Udemy Business platform
Health Checkups
Meditation
Gym & Bicycle Subsidy
Employee Share Purchase Plan

Fulltime

Ai Research Scientist — Agentic Ai For Materials Discovery

This role sits within Meta's Reality Labs Research, in the Material and Systems ...

Location

United States , Redmond

Salary:

184000.00 - 257000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field
2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)
Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)
Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs
Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics

Job Responsibility

Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines
Build specialized AI sub-agents that operate within a closed-loop discovery framework
Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure
Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis
Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures
Evaluate and benchmark agent performance on materials discovery tasks — measuring accuracy, throughput, and synthetic viability of generated candidates
Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)

What we offer

bonus
equity
benefits

Fulltime

Ai Research Scientist —Generative Ai For Materials Discovery

Location

United States , Redmond

Salary:

154000.00 - 217000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Ph.D. degree in Machine Learning, Computational Chemistry, Materials Science, Chemical Engineering, Physics, or a closely related technical field
3+ years of research experience in generative modeling applied to molecular systems, crystal structures, or materials science (academic or industry)
Familiarity with large-scale molecular and crystal databases and data processing pipelines for chemical data
Demonstrated expertise in deep generative models — including diffusion models, flow matching / continuous normalizing flows, variational autoencoders, or autoregressive models — with applications to 3D molecular or crystal structure generation
Programming proficiency in Python with hands-on experience in PyTorch or JAX
proficiency in building, training, and evaluating large-scale deep learning models
Track record of first-author publications in top-tier ML or computational chemistry venues (e.g., NeurIPS, ICML, ICLR, JACS, Nature Computational Science, Digital Discovery)
Solid understanding of crystallography fundamentals— and molecular representations (molecular graphs, SMILES, 3D conformers)

Job Responsibility

Develop, train, and deploy generative models (diffusion models, flow matching, variational autoencoders, transformer-based architectures) for molecular and crystal structure generation, property-conditioned design, and crystal structure prediction (CSP)
Design and implement reinforcement learning and alignment strategies (e.g., physics-informed reward signals from machine-learned interatomic potentials) to steer generative models toward physically stable and synthesizable candidates
Build foundational models and scalable pretraining pipelines that unify generative and predictive learning across molecules and crystalline materials, handling both discrete atom types and continuous 3D geometries
Collaborate closely with computational chemists to integrate first-principles calculations (DFT, force fields), molecular dynamics simulations, and domain-specific constraints into generative workflows
Partner with AI agent scientists to embed generative molecular design capabilities into LLM-based multi-agent systems, enabling closed-loop autonomous experiment planning, candidate generation, and decision making
Curate, preprocess, and manage large-scale molecular and crystal structure datasets for model training and benchmarking
Establish rigorous evaluation frameworks — measuring validity, novelty, uniqueness, stability, and synthesizability of generated structures — and benchmark against state-of-the-art methods
Contribute to the architecture and roadmap of the autonomous materials-discovery platform, ensuring generative design modules interface seamlessly with robotic workcells, characterization instruments, and data infrastructure

What we offer

bonus + equity + benefits

Fulltime

AI Research Scientist - Voice AI Team, Meta Superintelligence Labs

Meta is seeking AI Research Scientists to join the Realtime AI Voice team in Met...

Location

United States , Menlo Park, CA +2 locations

Salary:

184000.00 - 257000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD degree in Computer Science, Mathematics, or similar quantitative field
2+ years of post-PhD experience in an academic, industry, or government laboratory setting, with primary responsibilities focused on AI research
Proven track record of publications at peer-reviewed AI & speech conferences (e.g. NeurIPS, ICML, ICLR, ICASSP)
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
Familiarity with one or more deep learning frameworks (e.g., pytorch, tensorflow)
Experience communicating complex research to public audiences of peers

Job Responsibility

Lead, collaborate, and execute on research that pushes forward the state of the art in speech and large language model research
Directly contribute to experiments, including designing experimental details, develop reusable code, running evaluations, and organizing results
Help identify long-term research goals as well as intermediate milestones
Work cross-functionally to translate research breakthroughs into scalable, production-ready solutions for Meta's conversational AI / product experiences

What we offer

bonus
equity
benefits

AI Research Scientist, MRS AI (PhD)

The AI Research Scientist role conducts cutting-edge research and develops advan...

Location

United States , Menlo Park

Salary:

122000.00 - 181000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Collaborate, and execute on research that pushes forward the state of the art in large language model research
Directly contribute to experiments, including designing experimental details, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Help identify long-term research goals as well as intermediate milestones
Prioritize research that can be applied to Meta's product development

What we offer

bonus
equity
benefits

AI Research Scientist - Voice AI Team

Meta is seeking AI Research Scientists to join the Realtime AI Voice team in Met...

Location

United States , Menlo Park

Salary:

154000.00 - 217000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD degree in Computer Science, Mathematics, or similar quantitative field
Proven track record publications at peer-reviewed AI & speech conferences (e.g. NeurIPS, ICML, ICLR, ICASSP)
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …)
Experience to communicate complex research for public audiences of peers

Job Responsibility

Collaborate, and execute on research that pushes forward the state of the art in speech and large language model research
Directly contribute to experiments, including designing experimental details, develop reusable code, running evaluations, and organizing results
Help identify long-term research goals as well as intermediate milestones
Work cross-functionally to translate research breakthroughs into scalable, production-ready solutions for Meta’s conversational AI / product experiences

What we offer

bonus
equity
benefits

Ai Research Scientist - Language - Meta Ai

The Meta AI team is working on advances in content understanding, user understan...

Location

United States , Menlo Park

Salary:

122000.00 - 181000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics
Direct experience in generative AI and LLM research
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Collaborate and execute on research that pushes forward the state of the art in large language model research
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Help identify long-term ambitious research goals as well as intermediate milestones
Prioritize research that can be applied to Meta's product development

What we offer

bonus
equity
benefits

Fulltime

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