Benefits:

• Remote first

• Comprehensive benefits

• Learning and development

• Paid time off

Experience Requirements:

• Proven experience as a Prompt Engineer or similar role in AI development.

• Proficient in designing and developing high-quality prompts for AI, particularly in conversational systems.

• Strong knowledge and experience in NLP and AI model fine-tuning.

• Excellent collaborative skills, with the ability to work closely with stakeholders to meet desired outcomes.

• Familiarity with recent advancements in AI technologies, such as Langchain, GPT-Index, and Agent GPT.

Responsibilities:

• Design, develop, and refine prompt patterns for AI applications to facilitate efficient and meaningful conversations.

• Collaborate with stakeholders to identify key prompt requirements and incorporate them into AI design.

• Test, troubleshoot, and optimize prompts to meet desired outcomes and to improve conversational quality and consistency.

• Design, develop, and maintain natural language processing (NLP) models, particularly for generating high-quality prompts for conversational AI systems such as ChatGPT, AutoGPT, and Turn-based Agents.

Benefits:

• Flexible hours

• Remote work

• Competitive compensation

• Opportunity to learn and work in AI, and to make a positive impact on the development of the AI industry

• Opportunity to expand to other AI-related projects

Experience Requirements:

• Must be eligible to work in United Kingdom

• US English language speaker with good writing and proofreading skills

• Good knowledge of Finance subjects and the ability to craft original responses

• Excellent attention to detail

• A learning mindset - no prior experience in AI is needed

Responsibilities:

• Your main responsibility will be to create, evaluate, and refine pairs of prompts and responses for a sophisticated LLM.

Responsibilities:

• Training large scale Diffusion (transformer) models for image and video

• Rigorously ablating design choices and communicating results & decisions with the broader team

• Reasoning about the speed and quality trade-offs of neural network architectures

Responsibilities:

• Run the development and training of state-of-the-art multimodal vision-language models within the FLUX technology stack

• Design and implement specialized fine-tuning strategies for VLMs to address specific use cases and performance requirements

• Develop and optimize LLM implementations for prompt enhancement, content moderation, and novel applications

Experience Requirements:

• 4+ Years Exp.

• Programming Languages: Python, R, or Java

• Data Analysis and Modeling: sci-kit-learn, TensorFlow, PyTorch

• Database and Data Manipulation: Big data technologies like Apache Spark

• Data Visualization: Tableau, Matplotlib, or Seaborn.Data Engineering: Understanding of data pipeline architecture and development.Machine Learning Deployment: Knowledge of deploying machine learning models into production. | Docker

Responsibilities:

• Data Science Engineer I - Analyze data, drive insights, and innovate solutions

Benefits:

• Flexible working arrangement remotely or hybrid

Education Requirements:

• Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or a related field

Experience Requirements:

• 3+ years of experience in data analysis, preferably within ESG or Sustainability domain

Other Requirements:

• Proficiency in data analysis tools such as Python, R, or SQL

• Experience with data visualization tools like Power BI, Tableau, or equivalent

• Strong statistical knowledge and the ability to interpret complex data sets

• Excellent communication skills with the ability to translate data insights into business recommendations

• Ability to work both independently and as part of a team

Responsibilities:

• Perform detailed analysis on structured and unstructured datasets to identify trends, correlations, and insights

• Work closely with cross-functional teams to understand data requirements and business objectives

• Use statistical techniques to interpret and visualize data trends

• Generate reports and dashboards to communicate findings to stakeholders

• Identify and suggest improvements in data collection, reporting, and analysis processes

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

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