Other Requirements:

• Machine Learning

• Artificial Intelligence

• Python

• PyTorch

• Jax

• Kubernetes

Responsibilities:

• collaborate to advance the capabilities and safety of LLMs

• areas like code generation and mathematics

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

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

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

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:

• 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

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:

• 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

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

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:

• Competitive salary and benefits

• Flexible working options

Education Requirements:

• Bachelor’s degree required; Master’s degree preferred (e.g., Data Science, Computer Science, Mathematics, or a related field)

Experience Requirements:

• Proven experience with AI, machine learning, and data visualization tools

• Expertise in statistical analysis, predictive modeling, and machine learning algorithms

• Proficiency with programming languages such as Python or R, and experience with data tools like SQL, Tableau, or similar platforms

• Strong problem-solving abilities and attention to detail

• Excellent communication skills, with the ability to convey complex data insights to non-technical audiences

Responsibilities:

• Analyze and interpret large, complex datasets related to casino operations, player behavior, and marketing performance

• Develop and implement AI and machine learning models to identify patterns, predict outcomes, and optimize business strategies

• Collaborate with cross-functional teams, including data engineers, software developers, and business analysts, to translate data insights into actionable business decisions

• Create data visualizations and dashboards to communicate findings to both technical and non-technical stakeholders

• Apply statistical analysis, predictive modeling, and machine learning techniques to improve operational efficiency and enhance player engagement

Benefits:

• 0.15% - 0.75%

• equity

Experience Requirements:

• 3+ years

Other Requirements:

• 3+ years research experience in generative AI, computer vision, or deep learning

• Deep expertise in training generative models in PyTorch

• Curiosity and the drive to understand the unknown

• Proven record of implementing and adapting cutting-edge papers

• Proven ability to take research from concept to production

• Track record of breakthrough technical innovation

Benefits:

• 0.1% - 1.5%

• equity

Experience Requirements:

• 3+ years

Other Requirements:

• 3+ years research experience in generative AI, computer vision, or deep learning

• Deep expertise in training generative models in PyTorch

• Curiosity and the drive to understand the unknown

• Proven record of implementing and adapting cutting-edge papers

• Proven ability to take research from concept to production

• Track record of breakthrough technical innovation

Responsibilities:

• Design and scale cutting-edge generative models that can seamlessly control and edit different attributes of humans in video

• Pioneer new architectures for zero-shot video representation learning

• Explore novel problems and capabilities to push the limits of "what is possible"

• Tackle core challenges in precise video editing that large generative models struggle with

• Build primitives that capture and express human idiosyncrasies

Benefits:

• Hands-on experience working on impactful projects

• Mentorship and guidance from experienced data scientists

• A collaborative and inclusive work environment

• Opportunity to transition into a full-time role based on performance

Education Requirements:

• Recently completed a degree in Data Science, Computer Science, Statistics, or a related field

Experience Requirements:

• Strong analytical and problem-solving skills

• Proficiency in Python, R, or other programming languages commonly used in data science

• Must have worked on projects having machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn

• Knowledge of SQL and experience working with databases

• Effective communication skills and ability to work in a team

Responsibilities:

• Collect, clean, and preprocess data from various sources to prepare datasets for analysis

• Conduct exploratory data analysis (EDA) and generate meaningful insights

• Assist in building, testing, and deploying machine learning models

• Stay updated with the latest advancements in data science and machine learning

Experience Requirements:

• Minimum of fifteen years of experience in tech projects

• Experience setting and executing upon data strategy within a SaaS product

• Deep client experience in using data to guide strategic and operational metrics

• Experience managing and building a data science practice and public cloud

Responsibilities:

• Minimum of fifteen years of experience in tech projects

• Experience setting and executing upon data strategy within a SaaS product

• Deep client experience in using data to guide strategic and operational metrics

• Experience managing and building a data science practice and public cloud

Experience Requirements:

• Solving specific business problems using Python, R, etc., by employing statistical methods

• Building A/B testing frameworks

• Updating models to comply with changes in data inputs

• Building and maintaining recommendation algorithms, resume parsing

Responsibilities:

• Solving specific business problems using Python, R, etc., by employing statistical methods

• Building A/B testing frameworks

• Updating models to comply with changes in data inputs

• Building and maintaining recommendation algorithms, resume parsing

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:

• 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:

• 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:

• Competitive salary

• Generous equity package

• 6 month salary reviews

• Flexible hours and 3 days WFH per week

• Generous maternity and paternity leave

Responsibilities:

• AI at scale

• AI Vision

• Deep learning