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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TELECOMMUTE Staff Machine Learning Engineer - **Company:** Cohere Health, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $225,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Python (Programming Language), Machine Learning, Pytorch, Large Language Models, Deep Learning, Model Validation, Information Technology, Machine Learning Operations - **Published:** June 24, 2026 - **Apply:** https://www.dice.com/job-detail/475d9068-fc71-4b57-99ed-9815ecfa88ec ## About the Role * 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. ## Description 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. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Mastering Remote Work: Tips for Developers](https://www.wearedevelopers.com/magazine/558-mastering-remote-work-tips-for-developers) - [Best Paying Remote Jobs](https://www.wearedevelopers.com/magazine/255-best-paying-remote-jobs) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)