Senior Machine Learning Engineer

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

This role offers an exciting opportunity for an experienced Machine Learning Engineer to contribute to a cutting-edge platform that drives intelligent solutions for financial services. You will design, develop, and scale backend systems for predictive modeling and generative AI, collaborating closely with cross-functional teams such as LLM Engineers, Product Owners, and Data Scientists. The position involves ownership of end-to-end software development, from architecture and coding to deployment and ongoing operations. You will help define and implement robust data strategies, enhance AI capabilities, and maintain high-performance, secure production systems. This role is ideal for a hands-on engineer who thrives in a collaborative, fast-paced environment and is eager to work on technologies that directly impact user experience and business outcomes.

Accountabilities

• Design, implement, and maintain scalable, high-performance backend services, primarily in Python and frameworks like FastAPI.
• Translate business and technical requirements into actionable software designs and tasks.
• Develop and optimize databases, manage schema changes, and improve query performance.
• Integrate internal and external services, including APIs and AWS infrastructure, ensuring secure data flow.
• Operate, monitor, and maintain production systems, ensuring high availability and reliability.
• Contribute to CI/CD pipelines, automation, and infrastructure improvements.
• Design data collection pipelines and support LLM-based applications, including RAG systems and agentic technologies.
• Collaborate with cross-functional teams to prototype internal tools and data exploration interfaces.
  
  

Requirements

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• Proven experience as a Machine Learning or Backend Engineer with strong Python development skills.
• Hands-on experience with cloud platforms, particularly AWS (IAM, EKS/ECS, and core services).
• Experience building and scaling production applications.
• Knowledge of integrating internal and external services.
• Familiarity with LLMs, RAG systems, embedding vector databases, and agentic technologies preferred.
• Experience with data governance, structured data principles, and Feature Stores or ELT processes preferred.
• Strong problem-solving, communication, and collaboration skills.
• Ability to thrive in a fast-paced, remote-first work environment.
  
  

Benefits

• Fully remote role with flexibility to work from anywhere in the contiguous U.S.
• Competitive salary with equity/RSU opportunities.
• Medical, dental, and vision coverage with multiple plan options.

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• Life and AD&D insurance, short-term and long-term disability coverage.
• 401(k) retirement plan.
• Paid time off including vacation, sick leave, and parental leave.
• Employee Assistance Program (EAP) and financial literacy mentoring.
• Home office stipend and pet insurance.
• Supportive, inclusive, and innovative work culture.
  
  

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.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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. If you would like more information about how your data is processed, please contact us.