Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

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 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:

• 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

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Experience Requirements:

• 5+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field

• 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services

• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and an obsession with thorough ML evaluation

• Experience building and maintaining large scale, production data pipelines for machine learning applications

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Assist customers with the delivery of a Machine Learning project from beginning to end, including business case definition and scoping, data aggregation and exploration, algorithm selection, and model deployment to deliver business impact to the organization

• Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials.

• Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more

• Serve as the voice of our customers for new ML paradigms, data science workflows, and share customer feedback to product teams

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Education Requirements:

• B.S. degree in Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 5+ years demonstrated ability working in a technical customer-facing role, e.g., technical account management, management consultant, pre-sales engineer or customer success.

• Demonstrable ability to understand customer objectives, design solutions and identify expansion opportunities that align to value drivers within the account.

• Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement.

• Consistent record of achieving targets and goals with a history of driving adoption and identifying risks to renewals, cross-selling and upselling.

• Influential presence in front of customers, strong presentation and interpersonal skills and the desire to become the trusted advisor.

Responsibilities:

• Build and develop relationships with senior leaders in business and IT to ultimately stay aligned with business outcomes and secure partnership in their transformation initiatives.

• Identifying critical needs of our customers and mapping appropriate resources multi-functionally including product, engineering, data science, and co-founders.

• Lead the new customer onboarding program and work with core Snorkel AI technical teams to ensure that customer requests and critical issues are resolved in a timely fashion.

• Be a customer advocate as we establish our roadmap and influence features and improvements and actively support them through the product development pipeline via collaboration with the product team.

• Partner closely with Regional Sales Leaders, Account Executives, MLEs, Data Scientists, and other internal collaborators to identify new use cases and add-on opportunities for the account team

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Experience Requirements:

• 7+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field

• 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services

• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and an obsession with thorough ML evaluation

• Experience building and maintaining large scale, production data pipelines for machine learning applications

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Assist customers with the delivery of a Machine Learning project from beginning to end, including business case definition and scoping, data aggregation and exploration, algorithm selection, and model deployment to deliver business impact to the organization

• Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials.

• Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more

• Serve as the voice of our customers for new ML paradigms, data science workflows, and share customer feedback to product teams

Experience Requirements:

• 7+ years of enterprise selling experience and 3+ years of management experience at a fast-paced, high growth B2B software company

• Significant experience and proven results selling into and navigating the complexities of an Enterprise environment across multiple industries

• Experience negotiating large 6- 7 figure deals with extremely complex terms, conditions, price pressures, and considerations

• Previous experience working at a high growth early-stage B2B software company

• Experience building sales teams from the ground up and recruiting, hiring, and training top sales talent

Responsibilities:

• Recruit and develop a world-class team of high-caliber enterprise account executives. Inspire and drive your region with a 200% on revenue target mentality. This team should include individuals with high cognitive ability, empathy, character, work ethic, grit and coachability

• Develop an in-depth understanding on Snorkel AIs products in order to be able to provide guidance and mentoring on selling, navigating complex legal negotiations, helping eliminate technical barriers, managing escalations

• Ensure effective and consistent pipeline generation & accurate forecasting with accountability around clearly defined leading indicators to drive a predictable & scalable regional business

• Implement, enable, and execute our value-based selling approach consistently across a team of high caliber account executives

• Collaborate and partner closely with our incredibly talented cross-functional teams. Build & foster strong internal partnerships with MLE, customer success, alliances, pre-sales and account development

Experience Requirements:

• 2-3 years of experience in a Business Development Representative (BDR), Lead Generation, or Lead Qualification role.

Responsibilities:

• Conduct target list research and cold-call potential clients to generate pipeline.

• Develop and execute AI-enhanced email campaigns with personalized outreach.

• Set appointments and follow up on leads, ensuring high-quality engagement.

• Develop relationships with key stakeholders to understand their business challenges.

Education Requirements:

• PhD in Economics or highly related field.

Experience Requirements:

• 8+ years’ experience in antitrust and competition issues with experience in merger regulatory approval process or merger litigation.

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

Education Requirements:

• Expertise in data science, and machine learning

• Familiarity with software architecture, and API’s

Experience Requirements:

• 5+ years in customer success, technical consulting, solutions engineering or similar roles, preferably with a technical product.

• Proven ability to build relationships within complex organizations and be a thought leader for customers.

Responsibilities:

• Develop and execute comprehensive technical account strategies tailored to customer needs, including setting goals, identifying challenges, defining KPIs, and establishing timelines.

• Lead initiatives to enhance customer experience and satisfaction, managing key customer relationships and influencing product development based on customer feedback and industry trends.

• Serve as the primary technical expert on Akkio’s AI data platform, providing expert consultations and designing complex solutions to meet customer requirements.

• Facilitate seamless transitions from pre-sales to post-sales phases by collaborating closely with Sales and Customer Success teams.

• Identify and mitigate potential risks related to customer renewals or user churn, working with internal teams to develop and implement solutions.

Education Requirements:

• CS/Engineering or Design background

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.

Benefits:

• Medical

• Life Insurance

• Time Off

• Dental & Vision

• 401k

Education Requirements:

• Bachelor's or Master's Degree in Computer Science

Experience Requirements:

• 2+ years of Software Engineering experience

Other Requirements:

• Experience with Java and Python

• Experience with Microservices and RESTful APIs

• Experience building scalable, reliable distributed systems

• Strong ability for teamwork and motivation for collaboration and good communication and organizational skills

• Experience applying good software design and testing

• Experience with AWS

Responsibilities:

• Writing high-quality and maintainable code

• Developing well-designed APIs that connect our core conversational AI technology with our applications and tools.

• Building robust and scalable infrastructure for managing large and complex datasets

• Interfacing with senior management and other stakeholders to define software requirements and contribute to operational and technical projects in a fast-paced startup environment

• Working closely with Product and Engineering partners to contribute to the technical design and ownership of projects with major company impact