Position: Senior AI/ML Engineer Type: Contract To Hire Location: Remote Salary Range: $70- $90 Per Hour • No Corp to Corp A mission-driven, technology-focused nonprofit is seeking a Senior (L3) AI/ML Engineer to join their growing data team. This organization is building the largest patient engagement platform for underserved populations across the U.S., enabling improved access to care, better clinical outcomes, and solutions that address social drivers of health. This is a high-impact role at the intersection of healthcare and technology, where you'll develop and deploy AI/ML solutions that make a measurable difference for low-income communities. With over 20 million patients reached, this organization reinvests revenue into health equity initiatives and is deeply committed to its social mission. About the Role As a Senior AI/ML Engineer, you will be instrumental in building scalable machine learning systems that power smart automation and data-driven decision-making across the platform. You'll work on high-priority projects, including the continued development of AI tools such as generative assistants and natural language processing (NLP) pipelines. Your work will directly influence patient engagement, predictive analytics, and care delivery innovations. This role offers the opportunity to shape a product that has meaningful societal impact while working with a multidisciplinary, agile, and remote-first team. Key Responsibilities Model Design & Development • Design and implement generative and predictive AI/ML models, including LLMs and traditional classifiers • Collaborate with product and engineering teams to define requirements and deliver intelligent solutions • Fine-tune, evaluate, and deploy models to solve specific healthcare use cases, such as improving patient response rates or clinical outcomes Infrastructure, Scaling & Deployment • Build scalable AI/ML pipelines and deploy models in production environments (GCP preferred; AWS/Azure acceptable) • Monitor models post-deployment for drift, performance, and optimization opportunities • Implement MLOps best practices for reproducibility, monitoring, and model lifecycle management Strategy & Business Alignment • Identify opportunities to apply ML to business challenges through close collaboration with cross-functional teams • Translate product needs and healthcare-specific problems into actionable AI/ML projects Team Collaboration & Technical Leadership • Participate in code reviews, architectural discussions, and roadmap planning • Ensure code quality, data privacy, and compliance (including HIPAA where applicable) Required Qualifications • 5+ years of experience as an AI/ML Engineer, preferably in healthcare-related domains • Expertise in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, SparkML, etc. • Deep knowledge of supervised/unsupervised learning, NLP, LLMs, and advanced prompting/fine-tuning techniques • Production-level experience deploying AI/ML solutions in cloud environments (GCP preferred) • Experience with MLOps tools and workflows • Strong communication and collaboration skills, especially when working with non-technical stakeholders • Proficient in data preprocessing, model evaluation, and translating business needs into ML solutions Nice to Have • Experience with distributed systems, APIs, and scalable backend services • Knowledge of healthcare standards such as FHIR, HL7, HIPAA compliance • Familiarity with containerization (Docker, Kubernetes) and cost optimization in cloud deployments • Background in ETL/data engineering for unstructured data What to Expect in the First 6 Months Within 1 Month • Understand the product, patient demographics, and internal AI applications • Build rapport with cross-functional teams and stakeholders Within 3 Months • Evaluate current ML usage and infrastructure • Propose and begin development on a new AI/ML use case Within 6 Months • Deliver a production-ready model supporting a high-impact business or clinical goal • Collaborate with leadership to shape long-term AI/ML strategy Compensation & Benefits • Salary Range: $140,000-$190,000/year, depending on experience and qualifications • Equal pay for equal work, regardless of geographic location • Fully remote work with flexible hours • Half-day Fridays, 18 company holidays, and generous PTO (15 vacation days, 9 wellness days) • 1-month paid sabbatical every 4 years • Medical, dental, and vision insurance for employees and families • HSA/FSA, 401k retirement plan, short/long-term disability coverage • Annual professional development budget • $100/year wellness budget • Discounts through PerkSpot Important Notes • Applicants must be authorized to work in the U.S. on a full-time basis without sponsorship • This is a remote role open to U.S.-based candidates only All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.