Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 6+ years

Experience Requirements:

• 6+ years

Experience Requirements:

• 6+ years

Experience Requirements:

• 6+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 1+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Education Requirements:

• Currently studying or graduated from a scientific or quantitative field (Preferably MS or PhD)

Experience Requirements:

• Proficiency processing large datasets with statistical packages

• Software development experience as demonstrated through course work, research projects or open source activities, preferably in Python or C++

• Applied Experience with Machine Learning and Big Data technologies

• Previous experience or course work in finance, business, economics, and/or biostatistics is a plus

Responsibilities:

• Develop AI trading strategies in various financial market (Forex, stock, ETF, etc.) for finance domain

• Develop AI analyses in genome and/or proteome data in the medical domain

• Work with large data sets and solve difficult, non-routine analysis problems

• Translate unstructured, complex business problems into Machine Learning framework

• Prototype, refine, deploy and monitor predictive models and decisions agents that are used in automation and analysis tasks

Education Requirements:

• BS or MS degree in Computer Science, Computer Engineering or similar technical field of study preferred.

Experience Requirements:

• 3-5 years of working experience in system software development.

• Software development experience in one or more general purpose programming languages including but not limited to: Java, C/C++, C#, Objective C, Python, JavaScript or Go.

• Good knowledge of Data Structures and Algorithms. Parallel and Distributed Programming skills are a bonus.

Responsibilities:

• Design, implement, test, integrate, deploy, maintain and improve various components of Graphen AI platform and solutions.

• Conduct extraction, cleansing, exploration, transformation and loading of data from various sources to Graphen data store for different applications.

• Perform customization of Graphen solutions to suit specific customer needs.

Education Requirements:

• Ph.D. or Master's Degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics, Computational Finance, Industrial Engineering, Financial Engineering, Operations Research or a similar quantitative field. Ph.D. preferred.

Experience Requirements:

• Expertise in Machine Learning, Data Mining, Pattern Recognition, Natural Language Processing or Computer Vision.

• Publications in peer-reviewed journals and conferences.

• Experience or interest in programming in one or more of these languages: C++, C, Java, Python, Go, etc.

Responsibilities:

• Lead in cutting-edge AI research and develop innovative approaches in the financial/healthcare domains to solve real-world problems. Publish your results and grow Graphen’s IP portfolio.

• Contribute ideas, develop prototypes and implement efficient and effective algorithms for Graphen solutions.

Education Requirements:

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience

Experience Requirements:

• 5+ years of software engineering ad industry experience

• Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems

• Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)

• Proficiency in scripting languages to use APIs to automate manual processes

• Experience with common CI tools (Jenkins, Buildkite, CircleCI, TeamCity), and proficiency in at least one of those tools

Responsibilities:

• Define technical roadmap for team, identifying areas that need improvement and leading cross-team solutions

• Identify, architect, and build the right systems or products to improve the business

• Write well-crafted, well-tested, readable, maintainable code

• Have a good grasp and ability to explain the various trade offs made in decisions

• Participate in code reviews to ensure code quality and distribute knowledge

Responsibilities:

• Assist in the planning and execution of Barstool Sports live events, including logistics, setup, and on-site support.

• Work closely with internal teams and external vendors to coordinate event details.

• Help manage guest lists, ticketing, and fan engagement initiatives.

• Support sponsorship activations by ensuring proper execution of brand integrations.

• Contribute to event marketing strategies, including social promotion and content capture.

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

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:

• BSc, 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++

• Knowledge of machine learning and statistics

• Proven experience working with Large Language Models (LLMs)

• Knowledge of algorithm design

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

Responsibilities:

• This research engineer role focuses on inference-optimized model design for Gemini pretraining.

• We are interested in predictable LLM quality with optimized architecture selection for fast inference. It involves a low-level understanding of common XLA primitives and how jax code runs on TPUs in practice.

• Moreover, we heavily rely on various distillation techniques and spend time curating the right datasets for our models. The ideal candidate is willing to roll up sleeves to work across the LLM preparation stack (pretraining, finetuning, serving) to deliver strong models.