Jobgether
Senior Software Engineer (Machine Learning)
We are currently looking for a Senior Software Engineer, Machine Learning in Washington. The Senior Machine Learning Engineer will play a critical role in advancing clinical AI technologies, supporting rapid model experimentation, and integrating ML solutions into production systems. This position combines hands‑on engineering with cross‑functional collaboration across data science, data engineering, and application teams. The role is fully remote within the US and offers the opportunity to optimize machine learning pipelines, improve system reliability, and contribute to innovative healthcare solutions. The ideal candidate thrives in a fast‑paced environment, is passionate about scalable and efficient AI systems, and enjoys mentoring and building tools that enhance team productivity. Accountabilities
Deploy, maintain, and monitor machine learning models and pipelines in production environments. Collaborate with data scientists, engineers, and application teams to integrate ML models into broader systems. Develop and maintain MLOps tools and practices, including CI/CD pipelines and automated testing for ML workflows. Optimize model performance, scalability, and efficiency to ensure reliable system operation. Contribute to the design and architecture of machine learning systems and infrastructure. Build internal tools that improve the productivity and workflow of the data science team. Requirements
5+ years of experience in machine learning engineering or MLOps roles. Proficiency in Python and SQL; experience with ML frameworks such as PyTorch or TensorFlow. Hands‑on experience deploying and managing ML models in production, including Docker, Kubernetes, or similar technologies. Knowledge of CI/CD best practices for ML and infrastructure automation. Experience with cloud platforms, preferably AWS, and ML services. Familiarity with infrastructure‑as‑code tools (e.g., Terraform, CDK) and configuration management. Strong understanding of data engineering principles and scalable system design. Excellent collaboration and communication skills with a problem‑solving mindset. Preferred: experience with LLM deployments, healthcare domain experience, contributions to open‑source ML projects. Benefits
Competitive base salary: $190,000 – $230,000 plus equity incentives. Comprehensive medical, dental, and vision plans covering up to 75% of premiums. Paid parental leave up to 12 weeks for birth or adoption. Remote‑first work environment across the US. Unlimited PTO plus 10 holidays, including 4 floating holidays. 401(k) with Traditional & Roth options and a 4% match. Minimal bureaucracy and high‑impact work environment. Opportunity to collaborate with highly skilled and mission‑driven colleagues. Why Apply Through Jobgether?
We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. Data Privacy Notice
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. We appreciate your interest and wish you the best!
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We are currently looking for a Senior Software Engineer, Machine Learning in Washington. The Senior Machine Learning Engineer will play a critical role in advancing clinical AI technologies, supporting rapid model experimentation, and integrating ML solutions into production systems. This position combines hands‑on engineering with cross‑functional collaboration across data science, data engineering, and application teams. The role is fully remote within the US and offers the opportunity to optimize machine learning pipelines, improve system reliability, and contribute to innovative healthcare solutions. The ideal candidate thrives in a fast‑paced environment, is passionate about scalable and efficient AI systems, and enjoys mentoring and building tools that enhance team productivity. Accountabilities
Deploy, maintain, and monitor machine learning models and pipelines in production environments. Collaborate with data scientists, engineers, and application teams to integrate ML models into broader systems. Develop and maintain MLOps tools and practices, including CI/CD pipelines and automated testing for ML workflows. Optimize model performance, scalability, and efficiency to ensure reliable system operation. Contribute to the design and architecture of machine learning systems and infrastructure. Build internal tools that improve the productivity and workflow of the data science team. Requirements
5+ years of experience in machine learning engineering or MLOps roles. Proficiency in Python and SQL; experience with ML frameworks such as PyTorch or TensorFlow. Hands‑on experience deploying and managing ML models in production, including Docker, Kubernetes, or similar technologies. Knowledge of CI/CD best practices for ML and infrastructure automation. Experience with cloud platforms, preferably AWS, and ML services. Familiarity with infrastructure‑as‑code tools (e.g., Terraform, CDK) and configuration management. Strong understanding of data engineering principles and scalable system design. Excellent collaboration and communication skills with a problem‑solving mindset. Preferred: experience with LLM deployments, healthcare domain experience, contributions to open‑source ML projects. Benefits
Competitive base salary: $190,000 – $230,000 plus equity incentives. Comprehensive medical, dental, and vision plans covering up to 75% of premiums. Paid parental leave up to 12 weeks for birth or adoption. Remote‑first work environment across the US. Unlimited PTO plus 10 holidays, including 4 floating holidays. 401(k) with Traditional & Roth options and a 4% match. Minimal bureaucracy and high‑impact work environment. Opportunity to collaborate with highly skilled and mission‑driven colleagues. Why Apply Through Jobgether?
We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. Data Privacy Notice
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. We appreciate your interest and wish you the best!
#J-18808-Ljbffr