Education Requirements:

• PhD in a relevant technical field or equivalent practical experience

Experience Requirements:

• Research and development experience in media generative and/or restoration models, including but not limited to audio, images, video, and language

• Experience coding in one of the following programming languages including but not limited to: Python, C or C++

Responsibilities:

• Research and development of new technologies for audio generative models including text-to-speech, audio restoration and separation, and music and environmental sound generation.

• Collaborate with other research scientists and engineers to implement prototypes for new products, and work with product groups in Google to identify and implement approaches that AI can be used to improve existing and/or create brand-new Google products.

• Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.

Benefits:

• 0.15% - 0.75%

Experience Requirements:

• 3+ years

Benefits:

• 0.1% - 1.5%

Experience Requirements:

• 3+ years

Education Requirements:

• PhD or advanced degree in a STEM field or computational social science

Experience Requirements:

• significant experience in program management and driving forward collaborative projects

• strong writing and editorial skills

• clear track record of managing collaborative writing projects from conception to publication

• strong communication skills, both written and verbal, and an ability to develop constructive relationships with key partners and stakeholders

• experience supporting teams and leadership in fast-paced and constantly changing environments

Other Requirements:

• clear passion for advancing frontier AI safety and actively seek high-impact opportunities to push the field forward

• extensive experience carrying out or documenting safety evaluations on advanced general-purpose AI models, including automated benchmarks, redteaming exercises, and uplift studies

• extensive familiarity and experience with natural language processing, computer vision, causal reasoning and/or multi-modal models

Responsibilities:

• Design and execute AI safety workstreams, working with Forum leadership to develop a relevant workshops and outputs

• Act as a key partner to Forum leadership, helping to inform and shape the Forum’s strategy for AI safety

• Organize, moderate and lead multiple AI safety working groups, workstreams, and other research-oriented initiatives

• Oversee the development of issue briefs for publication on the FMF website and/or circulation among member firms and key stakeholders and partners

• Independently represent the FMF’s strategy and narrative with external AI safety stakeholders and partners

Education Requirements:

• advanced degree or extensive professional experience in AI and/or cybersecurity

Experience Requirements:

• significant experience in program management and driving forward collaborative projects

• strong writing and editorial skills

• clear track record of managing collaborative writing projects on cybersecurity from conception to publication

• strong communication skills, both written and verbal, and an ability to develop constructive relationships with key partners and stakeholders

• experience supporting teams and leadership in fast-paced and constantly changing environments

Other Requirements:

• clear passion for advancing frontier AI safety and security and actively seek opportunities to expand your domain knowledge

• extensive familiarity and experience with cybersecurity standards, protocols, and information-sharing mechanisms

• extensive experience carrying out and/or documenting cyber evaluations, including automated benchmarks, redteaming, cyber ranges, and CTF exercises

Responsibilities:

• Lead AI security and AI-cyber workstream direction and implementation, working with Forum leadership to develop a portfolio of research workshops and outputs

• Manage AI security and AI-cyber outputs from initial draft through publication, ensure timely delivery

• Organize, moderate and lead multiple working groups and research-oriented initiatives, delivering against a range of research objectives

• Research and develop white papers for use as structured read-aheads for working group meetings and for potential publication on the FMF’s website

• Act as a key partner to Forum leadership, helping to inform and shape the team’s research strategy on AI and cybersecurity

Education Requirements:

• MS or advanced training in a STEM field or computational social science

Experience Requirements:

• strong writing skills

• experience supporting teams and leadership in fast-paced and constantly changing environments

Other Requirements:

• clear passion for advancing frontier AI safety and actively seek opportunities to expand your domain knowledge

• experience documenting or analyzing safety evaluations on advanced general-purpose AI models, including automated benchmarks, redteaming exercises, and uplift studies

• familiarity with modern deep learning architectures, including natural language processing, computer vision, and/or multi-modal models

Responsibilities:

• Working with Forum leadership to implement a portfolio of timely research workshops and outputs

• Help organize multiple working groups and research-oriented initiatives, delivering against a range of research objectives

• Research and draft memos for use as structured read-aheads for working group meetings and for potential publication on the FMF’s website

• Conduct and write comprehensive literature reviews on various AI safety research topics

• Draft and compile research surveys on various topics for circulation within expert networks

Education Requirements:

• MS or advanced training in AI and/or cybersecurity

Experience Requirements:

• strong writing skills

• experience supporting teams and leadership in fast-paced and constantly changing environments

Other Requirements:

• clear passion for advancing frontier AI safety and security and actively seek opportunities to expand your domain knowledge

• experience carrying out and/or documenting cyber evaluations, including automated benchmarks, redteaming, cyber ranges, and CTF exercises

• familiarity and experience with cybersecurity standards, protocols, and information-sharing mechanisms

• familiarity with natural language processing, computer vision, reasoning and/or multi-modal models

Responsibilities:

• Working with Forum leadership to implement a portfolio of timely research workshops and outputs

• Help organize multiple working groups and research-oriented initiatives, delivering against a range of research objectives

• Research and draft memos for use as structured read-aheads for working group meetings and for potential publication on the FMF’s website

• Conduct and write comprehensive literature reviews on various AI and cybersecurity research topics

• Draft and compile research surveys on various topics for circulation within expert networks

Experience Requirements:

• 8+ years of experience in data analysis

Other Requirements:

• Proactive, entrepreneurial, and collaborative

• Strong familiarity with tools like Adobe Analytics/Omniture, Mixpanel, Heap, Amplitude, Google Analytics 360, GA4, Google Search Console, Billing systems, etc.

• Experience with database analysis (SQL, R, Python, BigQuery, Snowflake, Airflow, etc.)

• Clear understanding of statistics, predictive analytics, and machine learning

• Experience in business analytics

Responsibilities:

• Work with clients to understand pain points and translate them into requirements for queries and models

• Design tables and views providing ongoing data in useful formats

• Identify key insights not being tracked and predicted in software

• Assist Dev and QA in ensuring accuracy and understandability of client deliverables

• Collaborate with design and development team to make adjustments to models, presentation layers, and queries

Education Requirements:

• A M.Sc. / Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience

Experience Requirements:

• 3+ years of experience as a Data Scientist in non-academic settings, ideally with a focus on Large Language Models, NLP, or Speech Processing

Other Requirements:

• Proficiency in Python.

• Strong software engineering skills.

• Hands-on experience in modern generative AI models, prompt engineering, multi-agents, and RAG architectures.

• Experience in developing conversational systems.

• Productizing data labeling and validation pipelines, with external products (like Amazon SageMaker Ground Truth, Labelbox, Snorkel) or internally developed solutions

Responsibilities:

• Lead research initiatives to deliver product-driven experiences utilizing data science methodologies and cutting-edge AI technologies.

• Oversee the entire solution lifecycle — from breaking down product requirements into solvable problems to deploying production-quality solutions.

• Collaborate cross-functionally with product, customer success, BE and FS engineering teams to integrate scalable AI solutions into our app.

• Drive continuous improvement and innovation by defining and establishing metrics for evaluating model performance, including accuracy, bias, and real-time responsiveness

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:

• 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:

• 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:

• Health Insurance

• Vision Insurance

• Dental Insurance

• Life Insurance

• AD&D Insurance

Benefits:

• Competitive salary

• Equity options

• Comprehensive benefits package

• Flexible working hours

• Option for remote work

Education Requirements:

• Bachelor's, Master's, or Ph.D. degree in Computer Science, AI, or a related field

Experience Requirements:

• 3+ years of experience in AI research

• Contributions to novel research

• Strong programming skills in Python

• Familiarity with research methodologies

• Demonstrated experience working with state-of-the-art AI models

Other Requirements:

• Ability to read and understand complex academic research papers

• Strong collaboration skills

• Expertise in research infrastructure and tools

• Strong individual contributor with the ability to work independently

• Excellent communication and interpersonal skills

• Continuous drive for improvement and innovation

• Obsession with customer experience

Responsibilities:

• Collaborate with research scientists to design, implement, and optimize AI models and algorithms

• Read and implement ideas from academic research papers

• Implement experimental models, evaluate their performance, and iterate on solutions

• Work closely with the engineering team to translate research results into production-ready systems

• Contribute to writing reports, research papers, and presentations

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