Role Description Surest is a consumer centric health plan designed to remove barriers to care through simple, transparent experiences. Our plans replace deductibles and coinsurance with clear, up front pricing that members can see before they seek care—without compromising coverage, quality, or affordability. The Surest Technology team is 100% dedicated to this product and its success in the market. Our work focuses on building and evolving the platforms that power the Surest experience end to end, from benefit configuration and provider data to member facing digital experiences. We prioritize solutions that reduce manual effort, improve accuracy, and integrate seamlessly across a complex healthcare ecosystem. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. - Daily work in the areas of AI/ML modeling, data-oriented software development & infrastructure, programming for data analysis, and data visualization - Development and ownership of measuring the effectiveness of our product - Share responsibility for the data collection, pipelines, and reports/dashboards that allow democratized access to data - Influence roadmap and priorities by contributing data driven recommendations - Communicate complex analytical findings clearly to expert and non-technical audiences - Build with solid foundations for repeatable analyses - Enable the Data Science team to review and ingest new data as it becomes available - Participate in cross-functional implementation of data science products - Work with stakeholders and others on assigned projects to ensure that value is being delivered at a regular pace - Work with SME’s to understand even the most nuanced context behind what is recorded in our data - Work with technical partners (e.g., Data Engineers) to ensure that assets developed for analytical/modeling purposes are stable, reliable, and reproducible - Contribute readable, maintainable, and testable code to ensure that datasets created and models trained will deliver expected results - Read and contribute to others’ code to help it meet the same standards - Propose new applications of Data Science to business problems, or help develop these proposals - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI Qualifications - High School Diploma/GED - 3+ years of experience in Data Science, Software Delivery, or a related role OR a combination of experience and education - 1+ years of experience in writing Python and/or Pyspark for software or Data Analysis - 1+ years of experience in writing SQL for Data Analysis, or programmatic Database Interactions - 1+ years of experience working on a CI/CD software project - 1+ years of experience working with code version control (e.g., GitHub) Requirements - Experience contributing to a large, CI/CD software project - Experience taking a model from concept to evaluation to production - Experience with model explainability and bias/fairness evaluation tools and processes - Advanced understanding of Pyspark - Experience with cloud tools (Databricks, AWS) - Experience with software development/deployment tools: (Python IDE(s), Pytest, Jira, GitHub, Jenkins) - Experience with additional programming tools: (Shell scripts, Terraform, Docker) - Familiar with software development principles Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements)

Role Description ZestFinance, Inc dba ZestAI seeks a Machine Learning Engineer in Burbank, CA. - Create experiments and develop prototypes, with the goal of developing robust and efficient production-ready software. - Collaborate with product management, sales/engagement management, and engineering departments to understand company needs and devise ML/AI-powered solutions. - Drive technical projects forward, holding a tremendous amount of responsibility and direct impact to the business. - Build internal and external tools that will increase the productivity of teams leveraging the ML/AI-based systems. - Build demos, guidance documentation, and assist with training to help increase proficiency for our internal/external customers. - Test and apply cutting-edge ML/AI research to develop new and improved products, processes, or technologies. Qualifications - Requires a Master's degree in Computer Science, Physics, Data Science, or related (or its equivalent). - Plus 3 months of experience in a related role. Requirements - Requires 3 months of experience in the following: - Visualization, dataset process, & machine-learning toolkits. - Developing advanced predictive analytical solutions. - Dataset validation including sanity check, clean, preprocess, and aggregation. - Working with "big data" and building predictive models. - At least one of the following: Python, R, Java or C++. - Telecommuting permitted. Benefits - Medical/Vision, Dental, & Retirement benefits available. - 40 hours/week, Wage Range: $115,000-$150,000 per year.

• Empacotar modelos de IA em containers otimizados para edge • Construir pipeline de CI/CD com atualizações OTA sem parar produção • Trabalhar com extração de metadados e processamento de vídeo em tempo real

• Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation. • Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation. • Craft high-performance, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks. • Working closely with other engineers and scientists, lead solutions to accelerate model development, validation and experimentation cycles, and integrate models and algorithms in production systems at a very large scale. • Mentor and develop other engineers on the team, establish technical direction and foster team culture. • Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.