• Work on strategic use cases, translating business needs into data-driven analytical solutions • Conduct end-to-end analyses: exploration, understanding, data preparation, and delivery • Work with large volumes of data, ensuring quality, integrity, and statistical consistency • Develop, validate, and iterate statistical and Machine Learning models, ensuring performance, stability, and explainability • Monitor model performance metrics, proposing continuous improvements • Contribute to building and evolving Feature Stores, promoting standardization and governance • Create and maintain notebooks and pipelines in Databricks, following analytical engineering best practices • Collaborate with multidisciplinary teams (Engineering, Governance, BI, and Business) • Communicate results, hypotheses, and insights clearly and strategically, using data visualization and storytelling

Opportunity Overview: As a Staff Machine Learning Engineer, you will play a critical technical leadership role on Cohere Health’s Enterprise ML team, with a primary focus on powering and scaling machine learning capabilities within our Intake product. You will apply state-of-the-art machine learning, large language models, and agentic architectures to complex clinical and operational intake workflows, helping automate decision-making, improve data quality, and reduce administrative burden for clinical teams. In this role, you will partner closely with clinical operations, product, and engineering teams to uncover hidden drivers, inform strategic decisions, and deploy production-grade ML systems that directly impact how members and providers experience Cohere Health at the front door of care. This role blends deep hands-on technical work with strategic influence, mentorship, and ownership across multiple work streams, while contributing to broader Enterprise ML initiatives. What you’ll do: - Design, build, and deploy advanced machine learning systems for retrieval, classification, prediction, and generative use cases. - Apply advanced statistical and ML techniques to extract insights from large-scale structured and unstructured healthcare datasets. - Lead model development across the ML lifecycle, including experimentation, training, evaluation, deployment, monitoring, and iteration. - Develop and oversee scalable, reusable codebases and ML infrastructure to support production use cases. - Collaborate cross-functionally with product managers, clinicians, data engineers, BI engineers, and design teams to translate business and clinical needs into robust ML solutions. - Drive experimentation by defining problem statements, forming falsifiable hypotheses, and designing rigorous evaluation frameworks tied to business outcomes. - Review, communicate, and present ML insights and results to technical and non-technical stakeholders, including executive leadership. - Serve as a technical mentor and advisor to junior engineers, providing guidance on ML best practices, experimentation, and system design. - Contribute as an expert advisor across multiple initiatives, helping shape ML strategy and performance tracking across the organization. What you’ll need: - Master’s degree (PhD preferred) in Computer Science, Data Science, Machine Learning, or a closely related quantitative field. - 8+ years of professional experience in applied machine learning or data science,,including ownership of production ML systems. - Deep expertise in Python and modern deep learning frameworks (e.g., PyTorch). - Hands-on experience building and deploying deep learning models (e.g., transformers) for NLP tasks. - Strong understanding of experimental design, model evaluation, and optimization for real-world production environments. - Experience leveraging cloud platforms (AWS preferred) across the ML lifecycle (training, deployment, monitoring). - Proven ability to collaborate with product, business, and clinical partners to drive data- informed decision-making. - Excellent written and verbal communication skills, with experience presenting to both technical and non-technical audiences. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flexible Time Off + Company Holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance  The salary range for this position is $225,000 to $240,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Behavioral Interview(s) - Case Study *Subject to change About Cohere Health: Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote

• Define and drive MicroTech's AI/ML roadmap across internal operations, customer offerings, and long-term growth initiatives • Develop practical AI capabilities that improve efficiency, support decision-making, and create value for both MicroTech and our customers • Assess commercial AI/ML products and platforms, determine best fit, and identify opportunities to enhance them through MicroTech-led development and integration • Turn AI concepts into repeatable offerings, reference architectures, and managed solutions that can be deployed internally and for commercial and Federal customers • Provide leadership, direction, and accountability for the existing AI/ML staff while helping build a stronger, more disciplined capability over time • Work with leadership, business development, and technical teams to help position AI/ML solutions in the market, support demos and proposals, and show customers how AI can solve business and mission problems • Help shape secure on-prem and private cloud AI solutions, including environments where customers want to use AI against proprietary or sensitive data without relying on third-party public cloud services • Develop approaches for implementation, support, monitoring, optimization, and managed services so AI solutions can be delivered consistently and profitably

Build, Deploy, and Maintain AI for an Unpredictable WorldStriveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. The RoleAs a Staff Machine Learning Engineer at Striveworks, you will be challenged—and trusted—on day one to be both a core contributor and a customer-facing technical leader on the projects and direction of the company. In this mission-critical work, you will design AI-powered solutions, you will bring them into being—from data shaping and ingestion, through analytics, to end-user delivery—and you will inform future platform capabilities. You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You are passionate about applying both software engineering and data science to solve real-world problems. You are comfortable simultaneously leading a team, executing directly on critical elements of the plan, and presenting vision and outcomes to your customer. Your day-to-day will include: - Working with customers, engineers, and other stakeholders to define clear requirements that solve the customers’ problems and leverage the capabilities of our AI operations platform. - Translating requirements into a technical approach, design, scoping estimate, and execution plan. - Leading execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process. - Designing, orchestrating, and automating complex data pipelines and algorithms within modern architectures (cloud, event-driven, microservices, etc.). - Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data. - Raising insights, opportunities, challenges, and feedback in order to improve group-level practice, capture reusable functionality, expand company opportunities, and accelerate time to value. - Conducting mission-critical fieldwork and interfacing with customers and other stakeholders at their work sites. This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 20% of the time. The Right FitIn addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what we’re looking for: - Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience - Broad proficiency in programming languages common to machine learning (excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn) and systems programming (e.g., Go, Rust, C++, Java, Scala, etc.) - Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments - Demonstrated experience defining, scoping, planning, and delivering complex technical solutions in production environments - Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.) - Demonstrated ability to lead, manage, and mentor small cross-functional teams that work across office, remote, and customer sites - Ability to communicate complex topics with professionalism, competence, and clarity to internal and external stakeholders (both technical and non-technical) via documents, presentations, and conversations - Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance - Due to the nature of this role, candidates must have US citizenship The Wish ListWe’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of: - Experience with Kubernetes (k8s) and horizontally scaled architectures - Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar - Experience building AI agents and workflows - Experience with complex and varied data types, such as multi-spectral imagery, full motion video, acoustic or sonar signals, synthetic aperture radar, or hardware telemetry - Experience delivering technology solutions in secure government environments - Active Secret (or above) US security clearance The anticipated base pay range for this position is $200,000–$250,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. The Benefits - Medical/dental/vision insurance - Voluntary life, long-term disability, accident, and hospital indemnity insurance - HSA and FSA (including dependent care FSA) plans - 401(k) plan - Unlimited PTO - Paid parental leave Check us out on Built In! Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us. In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire. Striveworks is a participating employer in the E-Verify program.