Apply knowledge of statistics, machine learning, AI, and data analytics to change the software development lifecycle to the agentic development lifecycle by building Agency, the agentic engineering system.
Compensation
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Engage with stakeholders in ambiguous and large scenarios to understand and address business problems with data-driven solutions
Serve as a subject matter expert on advanced analytics, partnering with other teams to apply and leverage this skillset to guide data-driven decision making while mentoring product managers, researchers, and engineers in data best practices
Work with coworkers, partners and customers to define data needs, research questions, analysis plans, and deliverable timelines
Translate complex technical findings into succinct, actionable business insights, often in coordination with partners who help you tell a holistic story
Occasionally support high priority ad hoc requests from company and Engineering leadership
Requirements
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
As an AI Strategy Director in the Client Onboarding and Service team, you will lead the end-to-end delivery of AI initiatives that drive operational transformation and elevate client experiences.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Lead the intake, evaluation, prioritization, and scaling of AI use cases across client onboarding and service functions
Manage the AI portfolio operating model, including documentation, implementation, change management, and ongoing planning
Define and track key performance indicators (KPIs) and objectives and key results (OKRs) for program performance and outcomes
Produce and deliver executive-ready reporting on portfolio performance, outcomes, and key accomplishments
Build, lead, and mentor a high-performing team of program managers, ensuring the team has the skills, tools, and capacity to meet objectives
Requirements
Bachelor’s degree
Nice to have: AI/ML technology delivery
Nice to have: governance
Nice to have: design standards
Nice to have: performance measurement for AI programs
Strong hands-on expertise in Python and end-to-end AI/ML model development, including data preparation, feature engineering, training, evaluation, and production integration.
Compensation
Pay range: $70-75/hr C2C
Responsibilities
Translate business requirements into scalable AI/ML solutions
Collaborate with architects, data engineers, application teams, QA, and business stakeholders
Senior Applied AI Research Engineer to join the Research & Development (R&D) team, focusing on hands-on AI research, model development, and experimentation across Computer Vision, LLMs, SFT, RL, and Deep Learning.
Responsibilities
Conduct applied research in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, NLP, and emerging AI technologies.
Review, analyze, reproduce, and implement methodologies from academic research papers and open-source research projects.
Design and execute experiments to evaluate AI models, algorithms, training methodologies, and optimization techniques.
Design, develop, train, fine-tune, and optimize deep learning models using frameworks such as PyTorch or TensorFlow.
Research and implement techniques for adapting and fine-tuning Large Language Models and other foundation models.
Requirements
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Mathematics, Electrical Engineering, or a related technical field
Master's degree or PhD in Artificial Intelligence, Machine Learning, Computer Science, Robotics, or a related research-intensive discipline
Develop and optimize Large Language Model-based analytics solutions to streamline business operations and enable faster, better-informed decision-making.
Locations (2)
Edina, Minnesota, United States
Bloomington, Minnesota, United States
Compensation
The estimated base wage range for this position is $35.00-45.00/hr.
Responsibilities
Develop and optimize LLM-based analytics and agentic solutions using commercial (e.g., Azure OpenAI) and open-source (e.g., Google Gemma, Qwen) models to transform business operations and streamline daily workflows
Drive seamless integration of LLM models with existing platforms and enterprise systems
Build and scale robust data connectors and knowledge bases for agentic systems
Design, architect, develop, and manage a state-of-the-art enterprise agentic AI platform to support scalable business solutions
Develop and implement agent governance and monitoring protocols to ensure secure, controlled, and reliable operation of agentic AI solutions for business
Multiple roles in Machine Learning & Deep Learning NeurIPS 2026
Research interns will contribute to fundamental and applied research in artificial intelligence and machine learning, developing novel algorithms, models, and systems that advance the state of the art.
Compensation
$178,200.00 - $267,400.00
Responsibilities
Conducting original research, developing novel machine learning algorithms and architectures, and designing, training, and evaluating AI models to advance the state of the art.
Developing efficient AI systems and software frameworks, including optimization for mobile, edge, and cloud platforms.
Exploring emerging computing paradigms, including hardware-software co-design, compute-in-memory, and distributed or federated learning.
Collaborating with researchers and engineers to prototype, validate, and communicate research findings, with opportunities to contribute to scientific publications and technology transfer.
Requirements
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field
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