Benefits:

• Competitive Compensation

• Performance bonuses

• Comprehensive benefits

• Growth Opportunities

• Innovative Environment

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

Benefits:

• Competitive Compensation

• Performance bonuses

• Comprehensive benefits

• Growth Opportunities

• Innovative Environment

Education Requirements:

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

Experience Requirements:

• Experience with popular NLP toolkits and platforms

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

Responsibilities:

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

• Collaborate with other R&D teams to enhance the efficiency and capabilities of our foundational models

• Stay updated with the latest advancements in NLP and LLM

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

Benefits:

• Unlimited paid time off

• Parental leave, for all parents

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend$600 annual wellness stipend can be used for anything from therapy sessions to gym memberships.$600 per year to spend on their personal or professional development.In addition a computer of choice, all employees receive a $500 stipend to customize their tech set up.Remote/Phone Stipend$250 USD per month for co-working spaces, internet and cellphone bills, lunches, and other related expenses. Employees within commuting distance can expense up to $50 per month for phone plan reimbursements.401k matchingWe provide a 3% 401K match for our US-based employees.$500 stipend to customize their tech set up

Experience Requirements:

• 5+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics

• Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)

• Very strong programming skills and ability to write clean and maintainable research code

• Deep interest in building human-in-the-loop systems for creativity

• Ability to rapidly prototype solutions and iterate on them with tight product deadlines

Responsibilities:

• Develop innovative research projects in computer vision, focusing on generative models for image and video.

• Work with a world-class engineering team pushing the boundaries of content creation on the browser.

• Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production.

Benefits:

• Unlimited paid time off

• Parental leave, for all parents

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend$600 annual wellness stipend can be used for anything from therapy sessions to gym memberships.$600 per year to spend on their personal or professional development.In addition a computer of choice, all employees receive a $500 stipend to customize their tech set up.Remote/Phone Stipend$250 USD per month for co-working spaces, internet and cellphone bills, lunches, and other related expenses. Employees within commuting distance can expense up to $50 per month for phone plan reimbursements.401k matchingWe provide a 3% 401K match for our US-based employees.$500 stipend to customize their tech set up

Experience Requirements:

• 4+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics

• Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)

• Very strong programming skills and ability to write clean and maintainable research code

• Ability to rapidly prototype solutions and iterate on them with tight product deadlines

• Strong communication, collaboration, and documentation skills

Other Requirements:

• You must also be willing and able to work with sensitive content and situations that may be offensive, disturbing, or triggering

Responsibilities:

• Architect and develop systems for preventing abuse and improving guardrails in Runway’s generative models and tools.

• Work with a world-class engineering team pushing the boundaries of generative models and content creation.

Benefits:

• Unlimited paid time off

• Parental leave, for all parents

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend$600 annual wellness stipend can be used for anything from therapy sessions to gym memberships.$600 per year to spend on their personal or professional development.In addition a computer of choice, all employees receive a $500 stipend to customize their tech set up.Remote/Phone Stipend$250 USD per month for co-working spaces, internet and cellphone bills, lunches, and other related expenses. Employees within commuting distance can expense up to $50 per month for phone plan reimbursements.401k matchingWe provide a 3% 401K match for our US-based employees.$500 stipend to customize their tech set up

Experience Requirements:

• 8+ years of experience in machine learning and dataset engineering, focusing on large-scale, multimodal datasets

• Experience leading data strategies and partnerships at a senior level

• Expertise in data analysis, with practical experience in examining complex datasets

• Knowledge of data cost management and optimization techniques

• Understanding of current developments in dataset engineering and machine learning

Responsibilities:

• Establish and oversee data partnerships to obtain high-quality datasets for our AI models

• Develop data strategies that support Runway's product and research objectives

• Analyze our data ecosystem to find gaps and areas for improvement

• Work with external partners on new data projects

• Keep up with advances in dataset engineering and machine learning, applying new methods to our work

Benefits:

• Unlimited paid time off

• Parental leave, for all parents

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend$600 annual wellness stipend can be used for anything from therapy sessions to gym memberships.$600 per year to spend on their personal or professional development.In addition a computer of choice, all employees receive a $500 stipend to customize their tech set up.Remote/Phone Stipend$250 USD per month for co-working spaces, internet and cellphone bills, lunches, and other related expenses. Employees within commuting distance can expense up to $50 per month for phone plan reimbursements.401k matchingWe provide a 3% 401K match for our US-based employees.$500 stipend to customize their tech set up

Experience Requirements:

• 5+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics

• Expertise with programming such as Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills and ability to write clean and maintainable research code

• Deep interest in building human-in-the-loop systems for creativity

• Passion for seeing research through from initial conception to eventual application

• Experience mentoring and teaching other researchers

Responsibilities:

• Develop innovative research projects in computer vision, focusing on generative models for image and video.

• Build new computer vision pipelines for automating visual effects tasks (such as video segmentation, pinpointing, tracking).

• Work with a world-class engineering team pushing the boundaries of content creation on the browser.

• Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production.

Benefits:

• Unlimited paid time off

• Parental leave, for all parents

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend$600 annual wellness stipend can be used for anything from therapy sessions to gym memberships.$600 per year to spend on their personal or professional development.In addition a computer of choice, all employees receive a $500 stipend to customize their tech set up.Remote/Phone Stipend$250 USD per month for co-working spaces, internet and cellphone bills, lunches, and other related expenses. Employees within commuting distance can expense up to $50 per month for phone plan reimbursements.401k matchingWe provide a 3% 401K match for our US-based employees.$500 stipend to customize their tech set up

Experience Requirements:

• 4+ years of industry experience as a research scientist in computer vision

• High emotional intelligence and experience mentoring other researchers

• Good understanding of how to communicate goals, drive the execution of projects, and inspire through others

• Experience in translating product and business objectives into technical strategies

• Deep interest in productionizing state of the art ML research

Responsibilities:

• Lead and grow a group of Runway’s applied machine learning research team

• Coordinate with the product team and the rest of the engineering team to define goals for your team that are aligned with overall company initiatives

• Write tooling and prototypes to unblock and increase the productivity of other researchers

• Work with a world-class engineering & research team pushing the boundaries of content creation on the browser

Benefits:

• Unlimited paid time off

• Parental leave, for all parents

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend$600 annual wellness stipend can be used for anything from therapy sessions to gym memberships.$600 per year to spend on their personal or professional development.In addition a computer of choice, all employees receive a $500 stipend to customize their tech set up.Remote/Phone Stipend$250 USD per month for co-working spaces, internet and cellphone bills, lunches, and other related expenses. Employees within commuting distance can expense up to $50 per month for phone plan reimbursements.401k matchingWe provide a 3% 401K match for our US-based employees.$500 stipend to customize their tech set up

Experience Requirements:

• 4+ years of relevant experience in machine learning or dataset engineering, ideally with multimodal datasets

• Experience with running and optimizing models offline at large scale

• Excellent data modeling skills and experience with data curation

• Proficiency in model finetuning and optimization for data preprocessing

• Strong data analysis and SQL skills

Responsibilities:

• Develop and maintain large-scale, multimodal datasets for training and evaluating models

• Optimize models for data preprocessing tasks

• Create and run evaluations and benchmark analyses for datasets and models

• Implement fast iteration cycles and feedback loops to continuously improve model datasets

• Work with a world-class research team to push the boundaries of content creation

Benefits:

• Health Insurance

• Vision Insurance

• Dental Insurance

• Life Insurance

• AD&D Insurance

Benefits:

• A fast-growing environment where you can help shape the culture

• An entrepreneurial crew that supports risk, intuition, and hustle

• A hands-off approach so you can focus and do your best work

• The opportunity to make an impact in a transformative industry

• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

Experience Requirements:

• Experience with research and development in NLP or TTS or CV with a focus on image generation

• Experience in ML

Responsibilities:

• Utilizing your team to develop the highest quality ideas and projects

• Mentoring engineers

• Researching and implementing State-of-the-Art in NLP and TTS or CV with a focus on image generation

• Managing Research and development projects

• Staying up to date on State-of-the-Art technology to sharpen your skills and coach the team

Benefits:

• A dynamic environment where your contributions shape the company and its products.

• A team that values innovation, intuition, and drive.

• Autonomy, fostering focus and creativity.

• The opportunity to have a significant impact in a revolutionary industry.

• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.

Education Requirements:

• PhD or Master’s degree specialized in Deep Learning or equivalent experience

Experience Requirements:

• Proven experience in designing and implementing deep learning algorithms.

• Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects.

• Good programming skills and experience with deep learning frameworks.

• Ability to generate more ideas than you can implement.

• Implementing a given idea is easy and efficient. Once the experiment set up is established, you’re able to implement many ideas per day, evaluate them, and organize your time to be productive and efficient.

Other Requirements:

• You wish you had more GPUs to run all the experiments that you wanted!

• You know Pytorch/Tensorflow inside-out

Responsibilities:

• Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments.

• Collaborate and communicate clearly and efficiently with the rest of the team about the status, results, and challenges of your current tasks.

• Contribute to designing the research roadmap of the company

• Train and mentor other members of the team.

• Own the research function of specific product features.

Benefits:

• A dynamic environment where your contributions shape the company and its products.

• A team that values innovation, intuition, and drive.

• Autonomy, fostering focus and creativity.

• The opportunity to have a significant impact in a revolutionary industry.

• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.

Education Requirements:

• PhD or Master’s degree specialized in Deep Learning or equivalent experience

Experience Requirements:

• 3+ years in managing AI teams and 5+ years of experience with building deep learning models

• A track record of leading and shipping research projects in production

• Experience in managing and mentoring research scientists

• Strong knowledge of deep learning (and ideally generative models)

• Excellent communication and interpersonal skills

Responsibilities:

• Leading research projects and ensuring their timely completion

• Collaborating with other teams to integrate AI technologies into real-world products

• Mentoring and managing a team of research scientists and engineers

• Developing and implementing research strategies

• Staying up-to-date with the latest developments in AI technology and incorporating them into our research

Benefits:

• Competitive salary and benefits package

• Paid parental leave, home office and wellness budgets, and remote working from overseas.

• Professional development and growth opportunities

• An exciting work environment with a strong culture of innovation

Education Requirements:

• Bachelor's or Master’s degree in AI or related field

Experience Requirements:

• Proficiency in Python, deep learning frameworks, cloud computing, and software engineering

• Strong knowledge of natural language processing, computer vision, ML model training, and data pipeline model creation

• A team-oriented mindset with the ability to collaborate across disciplines

• Eagerness to stay updated on new advancements in the AI space

Responsibilities:

• collaborate with your team to develop and refine our Design Models

• contribute to critical research initiatives

• integrate breakthroughs into our platform to enhance the user experience

Benefits:

• Competitive salary and benefits package

• Paid parental leave, home office and wellness budgets, and remote working from overseas.

• Professional development and growth opportunities

• An exciting work environment with a strong culture of innovation

Education Requirements:

• PhD in AI

Experience Requirements:

• Extensive experience in Python, deep learning frameworks, cloud computing, and software engineering

• Knowledge of natural language processing, computer vision, ML model training, and data pipeline model creation

• A team player attitude, capable of collaborating with cross-functional teams

• Curiosity and the ability to stay on top of new and changing tools and techniques in the AI space

Other Requirements:

• Proven track record of writing research papers in NLP or CV and contributions to open-source AI code or repositories

Responsibilities:

• Lead Multimodal Research

• Foundational Model Development

• Research and Application

Benefits:

• Medical, dental, and vision insurance for you and your family

• Mental health and wellness support

• 401(k) plan with 50% matching

• Unlimited time off and 13 company holidays per year

• Paid parental leave (24 weeks paid birth-parent leave & 20-week paid parental leave) and family-planning support

Experience Requirements:

• 7+

• 5-7

• 2-4

• 0-1

Other Requirements:

• Able to work from San Francisco HQ 3 days per week

Benefits:

• A diverse and innovative work with responsibilities

• An exciting job in a successful startup based in Brussels (Place Flagey)

• Possibility to play an important role in a fast-growing company

• An attractive salary based on your experience and profile

• Status : permanent contract (CDI)

Education Requirements:

• Bachelor Degree, Master Degree or equivalent in Machine Learning, Applied Mathematics, Information Theory or Equivalent

Other Requirements:

• Autonomous worker and able to learn new things on the go

• You are ambitious and hardworking. You are looking for new challenge and have an entrepreneurial mindset

Responsibilities:

• Language processing: Prediction of unprecedented results to minimize waste resulting from suboptimal initial conditions

• Language generation: Generation of sentences to improve the attractiveness of advertisements

• Work closely with the founders to boost the company to the next level

• Provide analysis, presentations and valuable actionables for the company and our clients

Experience Requirements:

• 5+ years

Benefits:

• Health insurance

• Retirement plan

• Dental

• Optical

• Life insurance

Other Requirements:

• professional, mature, and dependable

• self directed and intrinsically motivated

• sharp and intellectually curious

• able to separate ideas from self

• persistent and hungry

• eager to improve

• a builder and a creator

• happy and successful working remote

Benefits:

• stock options

• benefits

• additional perks

Experience Requirements:

• at least 6 months of relevant internship experience in a similar role

Other Requirements:

• Practical experience through coursework, internships, or personal projects in applying machine learning techniques, ideally with some exposure to NLP models, prompt engineering, and working with LLMs

• Familiarity with version control (Git), CI/CD pipelines, and deploying ML models or services locally or in cloud environments

• Proficiency in Python for building and testing ML models, with experience using popular ML and data libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy

• Enthusiasm for customer-facing work, including the ability to understand specific use cases and adjust ML models accordingly

Responsibilities:

• Quickly deploy and test the current LLM-powered pipeline locally for specific customer use cases, making necessary adjustments to ensure alignment with customer requirements, and documenting findings clearly

• Take ownership of deploying product improvements based on customer-specific requests, pushing code and configuration changes to GitHub, and collaborating closely with product and engineering teams for smooth integration

• Build and maintain a repository of prompts for various scenarios that would be leveraged for any prospective customer proof of concept, iterating on these to optimize performance and ensure they are production-ready when needed

• Lead technical PoC projects with prospective customers, showcasing the capabilities of the ML models, addressing their specific needs, and gathering feedback to inform future improvements

• Collaborate with the team to ensure continuous monitoring of deployed models, focusing on improving accuracy and performance within a structured ML framework while learning best practices for pipeline maintenance

Benefits:

• stock options

• benefits

• additional perks

Experience Requirements:

• at least 5 years

• Proven experience in designing, training, benchmarking, and fine-tuning machine learning models, particularly with NLP models and large language models (LLMs)

Other Requirements:

• Experience in building scalable ML pipelines using tools such as Kubeflow

• Knowledge of automating and monitoring ML workflows to ensure consistent model performance in production

• Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and using relevant APIs for data intake, storage, and processing

• Great communication skills with the ability to convey complex findings to non-technical audiences

Responsibilities:

• Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to enhance accuracy and efficiency in submission intake processes across multiple insurance use cases

• Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to address business-specific requirements while maintaining an eye on adaptability and future innovation

• Continuously research and incorporate the latest advancements in prompt engineering and model optimization to refine prompts for precision and relevance, contributing to a robust, cutting-edge ML infrastructure

• Collaborate cross-functionally, serving as a technical lead for junior team members, providing mentorship and guidance to elevate team performance and technical knowledge

• Ensure production-grade deployment standards, emphasizing scalability, reliability, and compliance with insurance data handling policies, balancing rapid iteration with stability