AI Jobs

Benefits:

• International projects with global enterprises

• Flexible work arrangements

• Career paths

• 20 fully paid days off

• Integration budget

Education Requirements:

• Bachelor's or Master's degree in Data Science or related

Experience Requirements:

• Commercial experience designing AI solutions

• Proficiency in ML algorithms

• Strong programming skills in Python

• Expertise in cloud (AWS or Azure)

• Knowledge in applying LLMs

Other Requirements:

• High proficiency in English (C1 level)

Responsibilities:

• Lead development and implementation of ML

• Lead the design of AI solution architectures

• Research and select best technologies

• Architect data pipelines and workflows

• Present findings clearly to stakeholders

Education Requirements:

• PhD or equivalent experience in speech technology, machine learning, or a related field

Experience Requirements:

• Proven track record of publishing in leading speech conferences such as Interspeech, ICASSP, etc.

• Hands-on experience with popular speech toolkits and frameworks

Other Requirements:

• Strong programming and algorithmic skills

Responsibilities:

• Lead and drive innovative research in the field of speech recognition, synthesis, and related technologies

• Collaborate closely with the R&D team to integrate research findings into Camb.ai's products

• Keep abreast of latest advancements in speech technology and continuously push for innovations in the field

• Publish research findings in leading conferences, journals, and workshops

Education Requirements:

• PhD or equivalent experience in NLP, Deep Learning, or a related field

Experience Requirements:

• Experience with popular NLP toolkits and platforms

Other Requirements:

• Strong understanding of current challenges in language models and a passion for innovation

Responsibilities:

• Lead research in Language Model (LLM) development, focusing on zero-shot performance

• Collaborate with other R&D teams to enhance foundational model capabilities

• Stay updated with the latest advancements in NLP and LLM

• Drive efforts for publishing the research in top-tier conferences and journals

Benefits:

• Flexibility and freedom of remote work

• Flexible and inclusive work environment

Other Requirements:

• Passionate about building tools for remote workers

• Dedicated to making AI enhance teams and individual potentials

Responsibilities:

• Help us research the future of remote work with AI

Education Requirements:

• Minimum Bachelor’s Degree in Computer Science, Data Sciences, Statistics, Mathematics, or other related fields

Experience Requirements:

• 1 – 3 years of experience as a hands-on analyst with risk knowledge

Other Requirements:

• Working experience in handling large-scale unstructured data

• Experience in using business intelligence tools such as Microsoft Excel, Tableau, and Qlik Sense

• Experience in SQL or other data handling tools a bonus

Responsibilities:

• Handle end to end process from data analysis to presenting recommended actions

• Monitor any new or existing implementations relating to risk

• Timely response to alerts for any risk related escalations

• Deep dive investigation on potential issues such as changes to clients’ metrics

• Optimize fraud detection by identifying emerging fraud trends

Benefits:

• Flexible, hybrid work environment

• Office based at Station F in Paris

• Competitive compensation package

Education Requirements:

• Currently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D preferred)

Experience Requirements:

• Experience with distillation and/or improved sampling techniques for diffusion models

• Proven track record through personal projects or deep learning experience

• Experience with generative models (diffusion models, GANs, VAEs, transformers)

Other Requirements:

• Strong coding abilities in Python and deep learning frameworks (PyTorch, TensorFlow, JAX)

• Problem-solving mindset and excellent teamwork skills

• Availability for a period of 6 months

Responsibilities:

• Conduct literature reviews and propose innovative methods for diffusion models

• Participate in the fine-tuning stages of large-scale text-to-image models

• Document research findings and prepare technical reports

• Contribute to open-source projects and engage with the AI community

• Design evaluation metrics and analyze model performance

Benefits:

• Flexible, hybrid work environment

• Office based at Station F in Paris

• Competitive compensation package

Education Requirements:

• Currently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D preferred)

Experience Requirements:

• Experience with RLHF techniques applied to LLMs or Diffusion Models

• Proven track record through personal projects or deep learning experience

• Strong coding abilities in Python and frameworks like PyTorch

Other Requirements:

• Problem-solving mindset

• Excellent teamwork skills

• Availability for 6 months

Responsibilities:

• Conduct literature reviews on RLHF and DPO methods

• Implement fine-tuning techniques for text-to-image models

• Analyze model performance and conduct rigorous ablations

• Document findings and prepare technical reports

• Contribute to foundational open-source models

Benefits:

• A competitive compensation package including opportunities for employee options awards

• Opportunities to enjoy meaningful and disruptive works on game-changing products

• A flexible, supportive and productive working environment

• Passionate colleagues and friends

• A strong commitment to your personal and professional growth

Experience Requirements:

• 2+ years as a Data Scientist or ML Engineer in a strong data-driven SaaS environment/product

• Real-world experience in working with customers to develop and deploy Data Science and ML solutions

Other Requirements:

• Solid analytical thinking and problem-solving skills

• Hands-on experience and demonstrable ability to code fluently in Python

• Strong working knowledge of efficient data structures, computational complexity and algorithms

• Solid theoretical understanding in probability, statistics, supervised and unsupervised learning, time series

• Strong experience and demonstrable skills in Data Science stack (scikit-learn, pandas, numpy, scipy)

Responsibilities:

• Applying Data Science and Machine Learning to solve real-world business problems

• Developing new data-science / ML functions across products

• Taking charge of existing code base for continuous maintenance, bug fixing, and improvement

• Working with the Software/DevOps Engineering team to brainstorm ideas and develop new features

• Participate the design process for new features as a representative from the Data Science team

Education Requirements:

• A bachelor or higher degree in linguistics, communication, psychology, social sciences, literature, or equivalent.

Experience Requirements:

• Excellent reading and writing skills in casual and business English

• Experience in managing multiple projects by deadlines

Other Requirements:

• Open-minded, multi-talented individuals

• Sensitive to the nuances of interpersonal communication

• Adept at writing conversations

• Comfortable working with customers and new technologies

Responsibilities:

• Teach AI assistants natural language understanding and communication skills

• Deliver fun and satisfying conversational experience

• Gain experience in the application of AI in diverse business settings

• Manage multiple projects

• Write conversations

Responsibilities:

• Making human-level language AI part of everyday life through next-gen generalization-focused language research

Education Requirements:

• M.Sc. in Computer Science, Data Science, or a related technical field

• B.Sc. with 3+ years of hands-on experience in AI/ML applications

• PhD in Computer Science (Nice to Have)

Experience Requirements:

• 3+ years of hands-on experience in AI/ML applications (if B.Sc.)

• Strong understanding of LLMs, embeddings, cross-encoders, vector search

• Experience running experiments and analyzing results with rigor

• Experience in a fast-paced startup (Nice to Have)

• Paper publications in conferences (Nice to Have)

Other Requirements:

• Familiarity with open-source libraries, models and research environments

• Ability to translate ideas into prototypes and iterate quickly

Responsibilities:

• Be the expert in the latest research and tooling around LLMs and RAG

• Develop benchmarks and evaluation frameworks

• Productionize research and build end-to-end reliable systems

• Contribute to internal research documentation

• Stay up to date on academic and open-source developments

Experience Requirements:

• Leaders with experience running research organizations or data-driven strategy teams.

• Individuals who see GTM as a science — and are obsessed with defining its core primitives.

• Deeply curious, multidisciplinary thinkers fluent in AI, economics, and market systems.

• Comfortable managing hybrid teams of humans, models, and agents producing open knowledge.

Responsibilities:

• Oversees the institution’s open-source GTM research agenda, including frameworks, benchmarks, and ontologies.

• Drives the roadmap for how OpenGTM codifies market knowledge — from company profiles and GTM data models to AI benchmarks and cross-vendor evaluations.

• Ensures the Lab functions as both an R&D engine and a public institution: balancing academic rigor with industry relevance.

• Leads a distributed network of researchers, AI systems, and contributors working toward the unified goal of mapping global GTM intelligence.

Benefits:

• Competitive salary and stock options

Education Requirements:

• Graduate degree (MPhil or PhD) in Computer Sciences, Computer Engineering, Mathematics, or related technical fields

Experience Requirements:

• Experienced in Natural Language Processing, Computer Vision or Speech Processing

• Familiar with programming languages such as Python and advanced knowledge on deep learning frameworks such as Pytorch, Tensorflow or Jax

• Strong publication record in top conferences (ACL, EMNLP, NeurIPS, ICML, AAAI, IJCAI, Interspeech, ICASSP etc.)

• Experienced in Dialogue Systems both Task-Oriented and Chit-Chat using Neural Models

Other Requirements:

• Excellent written and verbal technical communication skills in English

Responsibilities:

• Collaborate with other researchers and platform engineers to help invent, implement, and connect sophisticated algorithms

• Conduct research in Natural Language Processing (NLP) and Machine Learning (ML), preferably using Deep Learning, while being connected with the engineering team

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven experience in a similar role at Senior Analyst level or above

• Strong proficiency in SQL, Python, and advanced statistical analysis

• Strategic mindset with deep understanding of business dynamics

• Strong communication and influence skills

• Ability to build organizational analytical capabilities

Other Requirements:

• Demonstrated ability to create business value through analytical influence and product thinking

Responsibilities:

• Influence company-wide strategic direction by identifying high-impact analytical opportunities

• Develop and maintain scalable analytical methodologies and frameworks

• Champion adoption of advanced analytical approaches, including A/B testing and experimentation

• Propagate analytical excellence across teams through mentoring, documentation, and knowledge sharing

• Collaborate closely with executives and cross-functional teams

Experience Requirements:

• 3+ years of experience in ML research, with a strong foundation in model architecture, optimization, and validation techniques

• Expertise in domains like Reinforcement Learning, Simulation, Statistical Analysis, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory, loss function engineering, and the latest advances in AI research

• Proficiency in cloud infrastructure management and model deployment using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms like Weights & Biases

Responsibilities:

• Lead the development and fine-tuning of advanced ML models across domains like Reinforcement Learning, NLP, and Computer Vision

• Design and implement effective Hyperparameter Optimization (HPO), cross-validation strategies, and architecture selection processes

• Choose loss functions and optimizers tailored for specific problem sets and ensure models generalize well

• Implement and monitor experiment tracking using tools like Tensorboard, MLFlow, or Weights & Biases

• Develop and optimize training datasets using Hugging Face Datasets and PyTorch

Benefits:

• Flexible (Unlimited) Paid Time Off

• Medical, Dental, and Vision benefits for you and your family

• Life Insurance and Disability Benefits

• Access to a 401(k) retirement savings plan (for U.S. employees)

• Paid Parental Leave

Experience Requirements:

• 4+ year experience

• Expert in SQL and Python or R

• Robust understanding of statistical and machine learning methods

• Storytelling through data

• Experience with data transformation tools and data orchestration tools

Other Requirements:

• Legally authorized to work in Canada and/or the United States

Responsibilities:

• Drive strategic insights

• Deliver clarity

• Set up data infrastructure

• Empower self-serve analytics

• Champion a data-driven culture

Benefits:

• Health and Wellness: Healthcare policy covering your family and parents.

• Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore)

• Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.

• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.

• Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

Experience Requirements:

• 4+ years of experience in AI/ML development.

• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.

• Hands-on experience with LLMs, GenAI, and RAG architectures.

• Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).

• Knowledge of ML algorithms, deep learning architectures, and NLP techniques.

Other Requirements:

• Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.

• Experience with LangChain or LlamaIndex for LLM applications is a plus.

• Strong problem-solving skills and the ability to work in a fast-paced environment.

Responsibilities:

• Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.

• Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.

• Develop and optimize ML models, leveraging classical and deep learning techniques.

• Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.

• Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases.

Education Requirements:

• Master's or PhD degree in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Familiar with Linux system, solid programming skills, data structures and algorithms, proficient in at least two programming languages.

• Familiar with and master principles of various optimization algorithms, machine learning, multi-agent reinforcement learning, deep learning, heterogeneous and asynchronous computing.

• Able to use mainstream frameworks like TF, PyTorch for model building and algorithm tuning.

• (Plus) Published papers in AI journals/conferences.

Other Requirements:

• Strong understanding and knowledge of AI.

• Strong hands-on and fast learning ability, able to quickly follow cutting-edge technologies and apply them to practical problems.

• Good English skills, able to read relevant literature.

• (Plus) Knowledge in complex networks, Bayesian statistics, stochastic processes, information theory, game theory, knowledge graphs.

Responsibilities:

• Participate in cutting-edge research in multi-agent system modeling, agent learning and decision-making, communication and cooperation, game theory, social intelligence.

• Collaborate with team members to complete research projects, read papers, implement algorithms, conduct large-scale experiments.

• Participate in or lead the design and development of platforms or systems, promote the implementation of basic model algorithms.

Education Requirements:

• PhD degree in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Published at least 2 papers as first/corresponding author in top international AI conferences or SCI journals.

• Achieved significant results in at least one area among multi-agent system modeling, agent learning and decision-making, communication and cooperation, game theory, social intelligence.

• Social intelligence related work preferred.

• (Plus) Knowledge in optimization theory, complex networks, Bayesian statistics, stochastic processes, information theory, knowledge graphs.

Other Requirements:

• Good academic background and excellent independent research and innovation ability, self-driven, capable of leading research projects and guiding interns.

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Conduct cutting-edge research in multi-agent systems modeling, agent learning and decision-making, communication and collaboration, game theory, swarm intelligence, producing impactful original research results.

• Lead team members in research projects, guide interns.

• Collaborate with engineering team to achieve technology transfer and algorithm implementation.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid CV theoretical foundation, familiar with algorithms in related fields.

• Research background and work experience in 3D vision, image processing, video understanding preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch), good programming skills (Python / C++).

Responsibilities:

• Track latest AI research, responsible for algorithm research integrating visual perception with natural language, speech and other perception modules.

• Integrate machine vision with natural language processing, speech technology, jointly analyze text, image, audio-video multi-modal information, build computational models, achieve semantic recognition and integration of visual and language information, applied to important AI tasks like image description, visual Q&A, logical reasoning.

• Develop and optimize 3D reconstruction algorithms based on monocular, binocular, multi-camera.

• Optimize effects of basic computer vision modules, including but not limited to semantic segmentation, object detection/tracking, behavior recognition, pose estimation.