• Participar en el diseño y desarrollo de soluciones basadas en Machine Learning y analítica avanzada. • Aplicar técnicas de Inteligencia Artificial para resolver problemas complejos sobre grandes volúmenes de datos. • Preparar, limpiar y transformar datos, asegurando calidad, consistencia y trazabilidad. • Construir y optimizar pipelines de datos que alimenten modelos o flujos analíticos. • Experimentar con modelos, evaluar resultados y documentar el ciclo de vida de las soluciones. • Integrarse en equipos multidisciplinares colaborando con perfiles técnicos y funcionales. • Trabajar en entornos ágiles manteniendo buenas prácticas de versionado y documentación. • Participar en proyectos de innovación y adoptar nuevas herramientas/tecnologías cuando sea necesario.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Role Overview: We are seeking a highly skilled and motivated Product Manager, Advanced AI & Risk Data Solutions to lead the development and execution of advanced data-driven solutions for our First Line of Defense Risk Data, which includes Business Risks & Controls, Credit, Collections, and Fraud domains. This role will amplify the utilization of data across the organization, driving innovation through Artificial Intelligence (AI), Machine Learning (ML), and Automation. As the bridge between engineering, data, and business stakeholders, you will be responsible for defining and delivering solutions that enhance decision-making, streamline processes, and improve risk outcomes. Key Responsibilities: Product Strategy and Vision: Develop and execute a roadmap for AI/ML and data-driven products that support Risk Data, including Credit, Collections, and Fraud. Collaborate with stakeholders to identify opportunities for leveraging data, ML, and automation to address risk management challenges. Align the product strategy with organizational goals, ensuring it enhances operational efficiency, predictive analytics, and customer outcomes. AI & Automation for Business Risk & Controls: Collaborate with the Business Risk & Controls division of SoFi to implement AI/ML solutions that improve risk oversight and process efficiency. Identify opportunities for automation in Risk Data operations to replace manual activities, enabling teams to focus on strategic and impactful work. Data-Driven Insights and Decisioning: Develop AI Analytics to accelerate strategy improvement opportunities and insights within the Decision Engine. Create solutions that empower teams to make data-driven decisions by providing actionable insights and predictive capabilities. Stakeholder Collaboration: Work closely with Credit Risk, Collections, and Fraud teams to define product requirements and success metrics. Serve as the primary liaison between technical teams (Data Engineers, ML specialists) and business units, ensuring alignment on priorities and deliverables. Operational Excellence: Establish and implement best practices for data governance, quality, and security within AI/ML applications. Monitor product performance and iterate on solutions to improve accuracy, efficiency, and user experience. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. MBA is a plus. 8+ years of experience as a Product Manager, with a focus on data-intensive products, AI/ML, or automation solutions. Proven experience delivering AI/ML products in financial services or risk-related domains such as Credit, Collections, and Fraud. Technical Expertise: Strong understanding of data pipelines, modeling, and storage technologies (e.g., Snowflake, dbt, Airflow). Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face, and cloud platforms (AWS, SageMaker). Skills and Competencies: Excellent problem-solving and analytical skills with a data-driven mindset. Strong communication and collaboration skills to work effectively with cross-functional teams. Ability to balance long-term strategic goals with immediate operational needs. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Requisition Number: 2347560 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled AI/ML Engineer with expertise in delivering Natural Language Processing (NLP), Optical Character Recognition (OCR), Machine Learning (ML), and cloud-based AI solutions to join our dynamic team. The ideal candidate will play a pivotal role in transforming our workflows through AI-driven automation and efficiency, particularly in the modernization of fax processes and telephony systems. This role requires a strong technical foundation, critical thinking, ethical judgment, and collaborative skills to drive impactful solutions aligned with organizational goals and societal values. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Architect, deliver hands-on, mentor & review other team members and deliver on timelines with all dependencies and innovative needs thought out, coordinated with cross-team stakeholders - Work with product management, design, support and other dev teams members to create high-quality solutions - Solve difficult and sometimes ambiguous problems - Be a team player, show due diligence, your own creativity, take team input, own & design deliverables with deep security expertise You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Undergraduate degree or equivalent experience - 3+ years of experience working with Natural Language processing - 3+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP) - 3+ years of experience leveraging cloud-native tools like Azure Machine Learning, AWS SageMaker, GCP AI Platform for model training, deployment, and monitoring - 2+ years of experience working with Retrieval-Augmented Generation Preferred Qualifications: - 8+ years of AI/ML Engineering experience - Experience with Optical Character Recognition (OCR) for document digitization and data extraction - Experience with Intelligent document processing - Experience working in accordance with Dev/Sec/Ops principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, Git etc.) - Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask, Django etc. - Expert knowledge of Python/SQL and AI/ML libraries (tensorflow/PyTorch/SciKit/Seaborn etc.) Familiarity with telephony systems, including voice processing, speech recognition, and platform integration - Proven track record of shipping and maintaining production, enterprise scale AI applications and data science products - Proven solid computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

AI alignment isn't bottlenecked by capability. It's bottlenecked by trust. Current AI fails in high-stakes contexts because it was never trained for relational competence. Models see knowledge, essays, code, and engagement-optimized social media — but never longitudinal healthy relating. And the objective function optimizes for engagement and utility, not relational integrity. The result? Addiction, sycophancy, psychosis, and suicide lawsuits. Plus, it's doing nothing to improve our social fabric, the strength of our communities, or the health of our relationships. Mental health apps see single-digit AI conversion despite massive demand. Robotics companies can't deploy into homes because LLMs can't handle human nuance. Defense and healthcare won't adopt AI that fails under stress. The opportunity: Whoever solves relational coherence wins consumer social AI, robotics, mental health, defense, education — and any domain where humans are vulnerable, the pressure is real, and mistakes matter. What we're pioneering: An orchestration engine based on research-backed Cumulative Prospect Theory and a model trained on empirical signals of human thriving — what we're calling Relational Reinforcement Learning (RRL). Your role: Build the execution layer that translates relational intelligence into natural conversation. This isn't a better chatbot. It's infrastructure for trustworthy AI in domains where the stakes run high and LLMs aren't good enough. What You’ll Build Better Half's decision layer (built by our CTO, former Distinguished Engineer at IBM) determines when users need pushback, softening, or repair. But decisions mean nothing without execution. You'll build the system that translates those decisions into LLM behavior that feels natural while optimizing for user thriving, not engagement.​ Affect Analysis Pipeline - Real-time emotion detection that feeds the decision layer - Multi-modal sentiment analysis (text, voice, timing, interaction patterns) - Track escalation/de-escalation signals across conversations Memory Systems - Storage and retrieval of relational context across sessions - Consistency checking to maintain relational coherence - Long-term modeling of user growth trajectories and relational capacity Prompt Engineering & Constrained Generation - Translate high-level decisions ("user needs reality-checking without triggering defensiveness") into effective prompts - Constrained generation that balances warmth with necessary friction - Template systems that adapt to user state and relationship phase LLM Integration & Orchestration - Multi-model orchestration (Mistral, Claude, others as needed) - Latency optimization for real-time conversation - Fallback strategies and graceful degradation ​Cloud Infrastructure - AWS or GCP architecture that scales - PostgreSQL and vector stores for memory - Privacy-preserving processing pipelines (on-device where possible) Evaluation & Monitoring - Build eval harnesses that measure relational outcomes, not just fluency - Tracing and feedback loops to ensure decisions land as intended - A/B testing framework for relational interventions Your Core Challenge ​​Turning complex relational intelligence into natural conversation that makes people feel understood while actually helping them grow — without drifting into sycophancy or breaking immersion with safety theater. Skills You'll Need​ - Production-grade Python with async and clean architecture - LLM integration including prompt engineering, constrained generation and orchestration - Transformer models and sentiment/emotion classifiers - Cloud infrastructure on AWS or GCP, PostgreSQL, vector stores - Eval and monitoring with harnesses, tracing, and feedback loops - Implementing technical specs from academic papers - Multimodal inputs - Self-starter comfortable with 0-1 startup chaos Also Valuable​ - Utility theory and behavioral economics - Reinforcement learning - Game AI or dialogue systems experience - Rust Apply Competitive contractor compensation and meaningful founding engineer equity. Send your resume and something you've built to jobs@better-half.ai. A link to code, a project, a writeup. Show us how you think.