To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category User Experience Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Salesforce is seeking a Principle Researcher, Workforce Intelligence with a specialized focus on Machine Learning. In this role, you will partner with executive leadership and C-suite stakeholders to set strategic research priorities, leveraging deep technical expertise to build ML models that provide accurate predictions and actionable insights for our most complex talent and organizational questions. You will drive end-to-end impact - from problem formulation through model development to enabling data-driven leadership decisions. You will also champion a long-term, future-focused vision that integrates advanced AI and Large Language Models (LLMs) into the fabric of our workforce strategy. By balancing technical rigor with business agility, you will ensure our models drive tangible, positive organizational growth. Key Responsibilities - Strategic ML Leadership: Drive the long-term vision for predictive and prescriptive workforce intelligence by authoring new ML strategies that support Employee Success partners and enhance employee experience initiatives. - Advanced Research Design: Define complex business challenges as rigorous research questions and develop novel methodological approaches when standard techniques are insufficient. - Predictive & Causal Modeling: Lead the development of robust, well-calibrated machine learning models and causal identification strategies to generate forward-looking insights that help us understand the drivers of organizational success. - Evidence-Based Impact: Lead impact attribution studies for workforce programs, utilizing advanced statistical methods to determine the effectiveness of talent initiatives and guide future investments. - Multimodal Data Intelligence: Lead the extraction of insights from unstructured enterprise data to provide a holistic, 360-degree understanding of organizational sentiment and the employee experience. - Scalable Insight Tools: Drive the evolution of research into scalable, automated tools and workflows that provide leaders with real-time, data-driven guidance for strategic workforce planning. - Tailored Workforce Insights: Utilize advanced modeling to identify how different talent initiatives impact various employee segments, ensuring workforce strategies are inclusive and optimized for a diverse global population. - Executive Stakeholder Management: Partner with and advise senior leadership (SVP+ and C-suite), providing strategic counsel and influencing organizational strategy at the highest levels. - Technical Infrastructure: Oversee the development of robust data infrastructure and MLOps (e.g., Airflow, AWS/GCP) to ensure the secure and reliable deployment of models at scale. - Innovation & Technical Evangelism: Remain at the forefront of emerging AI and LLM trends, ensuring they integrate seamlessly into a human-centric talent model that prioritizes the employee experience. Preferred Qualifications - Education: Master’s or PhD in a highly quantitative field (e.g., Computer Science, Data Science, Mathematics, I/O Psychology, Econometrics, or Statistics). - Experience: 10+ years in data science or applied research, with a proven track record of leading large-scale AI/ML projects and delivering scientific insights to executive-level leadership. - Technical Acumen: Expert-level proficiency in Python, R, and SQL. Deep experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and advanced techniques including RAG-based solutions and LLMs. - Engineering Mindset: Experience in architecting secure data enclaves and implementing MLOps to harden production data pipelines. - Communication: Exceptional skills in translating complex technical concepts for non-technical audiences, supported by a history of peer-reviewed publications or high-impact technical briefings. - Strategic Influence: Experience working with executive stakeholders to influence high-level workforce planning and organizational strategy using data-driven insights. - Autonomy: Proven ability to operate with a high degree of autonomy, making strategic decisions in a fast-paced, complex environment. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $164,000 - $261,500 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

• Innovative Model Architecture: Design, implement, and refine new machine learning and deep learning architectures by staying current with academic research and reading relevant papers daily. • End-to-End Pipeline Management: Build, test, and monitor robust data pipelines and training processes, ensuring scalability and reliability in production environments. • Model Fine-Tuning & Customization: Adapt and optimize our foundational models for various client needs, leveraging experimentation and hyperparameter tuning platforms. • Application Development: Develop diverse AI-driven applications that integrate seamlessly with our platform, translating research insights into real-world solutions. • Product Integration: Collaborate with engineering and product teams to transform complex business challenges into technical solutions that harness the power of frontier research. • Technical Leadership: Take full technical ownership of research projects, making strategic decisions that directly influence the evolution of our products.

We are seeking a Research Assistant who will oversee data collection, data organization, and/or data management or similar functions/tasks for research study(ies) in support of a PI or a research team. Specific Duties & Responsibilities - Run routine and ad hoc reports. - Use standard tools and computer programs to review data. - Assist with data cleaning measures to ensure accuracy of data and preparation of tables. - Lead basic activities such as data collection and data entry. - May lead specific tasks and develop processes to ensure study activities occur effectively and efficiently. - May conduct literature searches to support faculty in research efforts. - May design and format papers/publications. - May assist PIs in writing summaries of papers for release as policy briefs or other channels. - Other duties as assigned. Minimum Qualifications - Bachelor's Degree in a related field. - Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications Technical Skills & Expected Level of Proficiency - Analytical Skills - Awareness - Attention to Detail - Awareness - Data Management and Analysis - Awareness - Formatting and Layout Proficiency - Awareness - Information Gathering - Awareness - Oral and Written Communications - Awareness - Organizational Skills - Awareness The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Research Assistant Role/Level/Range: ACRO40/E/03/CD Starting Salary Range: $17.20 - $30.30 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: M-F/19.5 FLSA Status: Non-Exempt Location: Remote Department name: Biomedical Engineering - Research Personnel area: Whiting School of Engineering

Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams. Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers. Why is Arine a Great Place to Work?: Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence. Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care. Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medications therapies which cost the US 275,000 lives and $528 billion annually. Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category. The Role: We are looking for a Health Economics and Outcomes Intern to join our HEOR Team for the summer. This role is designed for a current graduate student, recent graduate, or someone with equivalent early-career experience who is passionate about using advanced statistical methods and AI tools to improve population health and reduce the total cost of care through medication optimization at health-plan scale. Working closely with our Senior Researchers and Data Scientists, you will apply causal inference frameworks to real-world healthcare data to help us understand the "why" behind clinical and economic outcomes. You’ll gain hands-on experience with health care claims data, apply causal inference methods to real-world scenarios, and receive mentorship from an experienced team of researchers and data scientists. What You’ll Be Doing (Learning & Contributing): - Support Causal Analysis: Assist in designing and conducting analyses using causal inference methods to evaluate program impact on medication adherence, costs, and utilization. - AI-Augmented Development: Utilize AI tools to accelerate and improve causal analysis code infrastructure. For example, work with researchers and data scientists to improve team efficiency and robustness of results by integrating agentic AI coding tools into the analysis process. Who You Are and What You Bring: - Current Graduate Student: Currently enrolled in (or recently graduated from) a Master’s or PhD program, or someone with equivalent early-career experience in Statistics, Economics, Public Health, Epidemiology, Health Informatics, or a related quantitative field. - Causal Inference Toolkit: Understanding and practical experience with causal inference methods (ex. propensity score matching, difference-in-differences, and/or regression discontinuity). - AI for Coding: Proficiency or interest in using AI tools to assist in writing SQL, Python, or R scripts for cleaning data and conducting statistical analyses. - Proactive Problem Solver: A self-starter who is comfortable working independently in a fast-paced, high-growth environment. Nice to Have: - Experience with health care claims and administrative data - Machine learning causal inference experience (ex. causal forests) Requirements: - Must live in and be eligible to work in the United States. - Stable high-speed internet connection and a private work area for HIPAA compliance. - Ability to pass a background check and complete Information Security/HIPAA training upon hire. Compensation Range: $25-30/hour. #LI- Remote Job Requirements: - Ability to pass a background check - Must live in and be eligible to work in the United States Information Security Roles and Responsibilities: All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine. Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. Check our website at https://www.arine.io. This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry! Job Offers: Arine uses the arine.io domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding.