Benefits:

• Flexible working arrangement remotely or hybrid

Experience Requirements:

• 1-3 years experience working with data, and coding experience in R/Python (including relevant internship experiences)

Other Requirements:

• Are comfortable with open ended challenges and finding creative solutions

• Are interested in ESG, cultural shifts and the digital landscape

• Have the drive to learn and master new technologies and techniques

• Have strong written and communication skills (English), especially in the multidisciplinary team

Responsibilities:

• Develop models and analytical frameworks designed for the sharpest insights and professionals in the world, helping them priorities the ESG issues that matter most to their business and spot where the next big opportunities and change will come from

• Aggregate information from open data sources and third party data

• Build a complete picture of sustainability performance using search, social & alternative data sources

• Projects run end-to-end: from dataset design, to data gathering, aggregation, cleaning, modelling and visualization

Experience Requirements:

• Excellent skills in research, writing and communications

• Time management and organizational skills

• Vision for corporate design addressing both consumer and business segments

• Passionate about learning and identifying creative materials

Other Requirements:

• Proactively suggest new inputs and ideas in digital assets for sustainability themes

• Detail-oriented, dependable, and organized

Responsibilities:

• Shape product vision in partnership with product, CEO, and data scientist

• Be subject matter expert on regulator and voluntary sustainability requirements for team and customers globally

• Support build of sustainability specific requirements in partnership with product team

• Support business development, investor pitches and proof of concepts with sustainable finance expertise

• Be face of company and develop sustainability thought leadership in tandem with CEO

Education Requirements:

• Specialized courses through international organizations, universities, and Indian institutions such as the IITs and TERI School of Advanced Studies

Other Requirements:

• Problem-solving and critical thinking

• Adaptability

• Collaboration and communication skills

Responsibilities:

• Study ecosystems, advising on land management, biodiversity conservation, and ecosystem restoration

Benefits:

• Medical/Dental/Vision, 401K match, PTO, and federally recognized holidays

• Competitive salaries with performance incentives

• Generous vacation policy and paid holidays

• Comprehensive health, dental, and vision insurance

• 401(k) with company match

Education Requirements:

• Bachelor's in Intelligence Studies, Computer Science, Data Analytics, or a related field, or an Associate degree with significant operational experience

Experience Requirements:

• At least five years in intelligence analysis within the U.S. intelligence community, preferably with exposure to military or other intelligence sectors

Other Requirements:

• U.S. Citizenship with Top Secret/SCI Clearance

• Must meet ICD 704 eligibility criteria without waivers or conditions

• This role requires a commitment to maintain a Final TOP SECRET SCI Clearance. Dual citizenship is not permitted, and the position mandates sole U.S. citizenship, following strict federal compliance guidelines

Responsibilities:

• bring your sharp analytical skills and extensive intelligence experience to fortify our operations

• be stationed at our client site in Camp Springs, MD, leveraging your expertise in intelligence analysis to navigate complex data landscapes

• Your role will be pivotal in synthesizing actionable insights from varied intelligence sources, including cybersecurity and border security sectors

Education Requirements:

• Currently pursuing a degree in Sports Management, Statistics, Mathematics, Data Science, Economics, or a related field. Recent graduates may also be considered

Experience Requirements:

• Strong proficiency in data analysis tools such as Excel, R, Python, and SQL. Familiarity with sports analytics platforms is a plus

• Basic understanding of statistical techniques (regression analysis, correlation, hypothesis testing, etc.)

• Passion for sports and understanding of various sports

• Excellent communication skills, both written and verbal, with the ability to convey complex data findings in an easy-to-understand format

• Strong attention to detail and problem-solving skills

Responsibilities:

• Assist in gathering and organizing data from various sources, including game statistics, player performance data, and historical records

• Maintain and update databases to ensure accuracy and reliability of information

• Help with cleaning and preprocessing raw data to make it suitable for analysis

• Analyze sports data using statistical methods and software (e.g., Excel, R, Python, SQL, etc.) to generate insights about player performance, team dynamics, and other relevant metrics

• Support the creation of visualizations (charts, graphs, dashboards) to present data findings in a clear and understandable way

Other Requirements:

• native or near-native proficiency in one or more of the Asian or European languages

• IT skills are a plus

• knowledge of regular expressions is a plus

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in Computer Science, Statistics, or a related field

Experience Requirements:

• Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)

• Expertise in one or more of the following areas: natural language processing, computer vision, reinforcement learning

• Experience with training, evaluating, or interpreting large language models

• Proven ability to design and execute independent research projects

• Excellent communication and collaboration skills

Responsibilities:

• Develop novel multimodal LLM architectures with a focus on memory

• Investigate post-training techniques for planning and reasoning

• Develop and evaluate applications of multimodal LLMs for personalized and agentic experiences

Education Requirements:

• PhD in Computer Science, or Machine Learning related field

Experience Requirements:

• Experience with people understanding/generation

• Experience working with VLMs

• Proven experience of ML frameworks such as TensorFlow/JAX

Responsibilities:

• You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity.

• You will gain an understanding of the path from research to production whilst working on real world problems, whilst working on real world problems, with the chance to see your work make a difference.

• Some of our current projects are focusing on multimodal human understanding and generation, including privacy preserving generation and misinformation prevention. Having relevant experience is highly beneficial.

• The responsibility includes model development (data, modeling and evaluation), research and prototyping.

Education Requirements:

• MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry

Experience Requirements:

• Proven knowledge and experience of Python or C++

• Deep foundational knowledge of machine learning and statistics

• Proven experience of JAX or similar ML frameworks (e.g. TensorFlow, PyTorch ) is highly desirable

• Experience pretraining, fine-tuning large, and/or applying RL to models

• Experience applying and productionizing state-of-the-art large visual, language and multimodal research

Responsibilities:

• You’ll be improving the most promising models and research as it relates to high-impact real world problems, by rapid-prototyping initial concepts and designing and running experiments.

• You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference.

• You’ll be embedded within a small project team of Research Engineers, and will be expected to drive the foundational research direction with the potential for significant impact in the short and long term.

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

Benefits:

• Medical & Health

• Performance Bonus

• Parental Leave

• Flexible Time

• Mental Health Workshops

Experience Requirements:

• 3+ Years Experience

Other Requirements:

• Familiarity with NLP tools and technologies is highly desirable

• Strong analytical skills and the ability to interpret linguistic data

• Excellent communication skills with proficiency in at least one language other than English

• Creative problem-solving skills and a willingness to explore new linguistic territories

• Ability to work collaboratively in a fast-paced, interdisciplinary environment

• Proficiency in using linguistic analysis tools and platforms

Responsibilities:

• Language Model Development

• Cultural Sensitivity and Localization

• Research and Innovation

• Interdisciplinary Collaboration

• Quality Control and Training

Benefits:

• 100% medical, dental, and vision coverage.

• Unlimited PTO, combined with 12 paid company holidays

• Flexible hours and remote work options

• A personalized tooling and training budget as well as learning opportunities and events.

• Own a piece of our shared future

Benefits:

• Equity Package

• Unlimited PTO

• Training & Development

Experience Requirements:

• 3-5 years of experience in the field of Data Science

• Current experience as a hands-on Data Scientist

• Practical experience in ML and Data Science methodologies, including Data Preprocessing, Feature Engineering, and Building Forecasting Models (ARIMA, SARIMA, XGBOOST), as well as predictive models (Random Forest, Linear Regression, Boosting, Bagging)

• Experience using ML Libraries such as Pandas, Sklearn/Scikit-learn

Other Requirements:

• Clear and creative thinker with excellent written and verbal communication skills

• Ability to creatively articulate complicated concepts in layman terms

• Comfortable with writing R and Python scripts to conduct data analysis, data pre-processing and feature engineering tasks

• Passion for machine learning and data science, and always up to speed with the latest developments in the space

• Personality to easily connect and become familiar with new people

• Ability to work collaboratively but autonomously

• Excitement to build a career at an energetic startup, with an eagerness to learn and develop your skill set across a wide range of activities

• Comfort in communicating new ideas and experimenting without fear of failure

• Ability to pick up new skills quickly, and adapt well to feedback on your work

Responsibilities:

• Interact with customers to explain technical concepts in layman terms

• Troubleshoot model performance by reviewing model metrics (e.g. precision, recall, f1 score, etc.), exploring and recommending best practices for structuring dataset

• Perform data cleaning and pre-processing on complex datasets

• Conduct feature engineering on customer datasets

• Analyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithms (with Obviously Al's No-Code tool)Propose solutions and strategies to business challengesCollaborate with engineering and product development teamsUpdate and manage technical support tickets and requests