Senior Machine Learning Engineer, Gen AI at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer, Gen AI in the United States.

This is a high-impact opportunity to work at the forefront of generative AI and large-scale data systems, building innovative solutions that empower product teams to deliver intelligent, data-driven features. You will join a collaborative, cross-functional environment where engineers, product leaders, and designers work together to solve complex challenges. The role focuses on designing scalable ML infrastructure, developing cutting-edge models, and enabling seamless AI integration across products. With access to massive datasets and modern cloud technologies, you’ll help shape how AI is built, deployed, and consumed. This position offers autonomy, technical ownership, and the chance to influence both product direction and engineering best practices. It’s an ideal role for someone passionate about innovation, experimentation, and delivering real-world impact through AI.

• Design and build scalable machine learning systems, infrastructure, and tools to support AI-powered product features
• Develop and deploy generative AI models and data-driven solutions in production environments
• Collaborate with product and engineering teams to translate business needs into robust ML solutions
• Create internal platforms and frameworks that enable teams to integrate AI capabilities efficiently
• Guide stakeholders on ML best practices, trade-offs, and experimentation approaches
• Build resilient, high-performance services for large-scale data processing and integration
• Ensure code quality, scalability, and maintainability through testing and best engineering practices
• Mentor team members and contribute to a collaborative, knowledge-sharing culture

• 5+ years of experience in backend or machine learning engineering using languages such as Python, Go, or Java
• Strong experience designing and deploying ML systems at scale, handling large datasets (millions to billions of records)
• Hands-on expertise with modern ML tools and frameworks (e.g., MLFlow, Kubeflow, Triton, or similar)
• Solid understanding of generative AI concepts, including LLMs, RAG, prompt engineering, and fine-tuning
• Experience building distributed systems and scalable cloud-based architectures (AWS, GCP, or similar)
• Proficiency in data pipelines, APIs, and microservices architecture
• Strong problem-solving skills with a proactive, ownership-driven mindset
• Excellent collaboration and communication skills across technical and non-technical teams
• Bonus: experience with real-time data processing, NLP, audio models, or highly regulated data environments

• Competitive salary and comprehensive compensation package
• Flexible remote work options across the United States
• Opportunities to work on cutting-edge AI and machine learning technologies
• Collaborative and innovation-driven engineering culture
• Professional development support, including learning resources and career growth opportunities
• Exposure to large-scale data systems and high-impact projects
• Inclusive and supportive work environment focused on employee well-being