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

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:

• Health insurance, which includes employer contributions toward medical/vision/dental

• Employer paid Basic Life insurance with additional coverage available (amount depends on Bargaining Unit)

• Paid holidays

• Personal leave with an accrual rate increase based on time served

Education Requirements:

• A bachelor's degree from an accredited college in biology, a branch of biology, limnology, biometrics, oceanography, forestry, or natural resource management

• One year of full performance professional level biologist experience

Experience Requirements:

• 6 - 10 years

Other Requirements:

• Requires Onsite work

• Requires frequent travel for fieldwork (at least 10 days at a time at least twice a year)

• A valid driver's license is required

• This position may be in possession of, or have access to, firearms/ammunition

• If you have ever been convicted of a misdemeanor crime of domestic violence, do NOT apply for this position

Responsibilities:

• work collaboratively as part of the research team in Region IV of the Alaska Department of Fish and Game to evaluate critical management and ecological questions in large game mammals, with a focus on carnivores, including wolves and brown bears

• responsible for working with wildlife managers to identify research questions and associated hypotheses and will lead development and execution of rigorous studies to evaluate those hypotheses

• assist other researchers in project development and execution, and lead or contribute to development of new or evaluation of existing survey and inventory techniques

Benefits:

• A culture comprised of diverse, global teams who have a passion for collaboration and client service.

• A competitive salary and scope for further advancement

• State-of-the-art engineering solutions - working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun

Experience Requirements:

• 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science

Other Requirements:

• Strong skills in Python

• Hands-on experience in developing & running machine learning applications in production

• Familiarity with training and serving large language models in production

• Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining

• Strong understanding of fundamentals of Computer Science

Responsibilities:

• The data scientist will be responsible for design and development of deep learning & LLM based models on unstructured and Structured Data.

• Will focus on not just on designing the algorithm but also on delivering it at scale.

• Will build and deploy deep learning techniques in production.

• Design and develop software modules that perform data ingest, data transform, and analytics tasks.

• Deliver customized solutions in a timely manner.

Benefits:

• Flexible Work Hours

• Health Insurance

• Work from Anywhere

• Exponential Growth

• Learning Environment

Other Requirements:

• NOT open to students

Education Requirements:

• PhD or Master’s degree in Computer Science or equivalent industry experience

Experience Requirements:

• 2+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use

• Track record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP)

• Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch)

• Experience communicating complex research to peers

• Solid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systems

Other Requirements:

• Experience in low-level machine learning optimization, such as writing CUDA kernel code

Benefits:

• Competitive salary

• Generous equity stake

• Wide range of benefits

• Career progression opportunities

Education Requirements:

• PhD in molecular biology, bioengineering, bioinformatics, or a related field

Experience Requirements:

• 5+ years of experience in biopharma in a scientific role in protein engineering, focussing on antibodies, with experience with biophysical and/or functional assays

Other Requirements:

• Deep knowledge of the biopharmaceutical R&D process, methods, tooling

• Excellent analytical and communication skills

• Proven ability to build strong relationships with a variety of stakeholders

Responsibilities:

• Work closely with customers with Biotherapeutics-related use cases to understand their scientific goals and propose tailored solutions

• Advise on identifying projects that Cradle platform is best suited for

• Collaborate with product teams to guide product development

• Build and maintain strong relationships with Cradle’s users

• Collaborate with sales to identify new business opportunities