Sr Software Engineer, Machine Learning

  • San Francisco, CA
  • Posted 3 hours ago | Updated 3 hours ago

Overview

Remote
On Site
USD 160,000.00 - 180,000.00 per year
Full Time

Skills

Microservices
Workflow
Management
Testing
Documentation
Software Engineering
Leadership
Python
Backend Development
Systems Design
Machine Learning (ML)
Prototyping
Continuous Integration
Continuous Delivery
IaaS
Collaboration
Communication
PyTorch
TensorFlow
Neo4j
Privacy
Large Language Models (LLMs)
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET

Job Details

Description

We are looking for an experienced Senior Software Engineer specializing in Machine Learning to lead the development of innovative AI-driven services. This role focuses on building scalable systems and production-ready machine learning pipelines that transform raw data into actionable insights. If you have a strong background in backend development, AI/ML systems, and are passionate about delivering high-quality solutions, this position offers an exciting opportunity to make a meaningful impact.

Responsibilities:
Architect and implement robust ingestion pipelines to process raw documents into structured Neo4j knowledge graphs.
Develop and refine Python-based microservices using FastAPI to support ingestion and question-answering endpoints.
Optimize retrieval and Q& A workflows to enhance performance, reduce costs, and ensure maintainability.
Investigate and implement approaches for managing conflicting, incomplete, or time-sensitive information.
Collaborate with researchers to integrate experimental AI strategies into production-grade systems.
Maintain high standards of code quality through rigorous testing, documentation, and monitoring.
Scale services from prototypes to fully operational production systems that meet enterprise needs.

Requirements

At least 8 years of software engineering experience, including leadership roles.
Extensive knowledge of Python, backend development, and machine learning-powered systems.
Strong skills in systems design and architecture, with experience building data-intensive APIs.
Proven ability to transition machine learning prototypes into reliable, production-grade services.
Familiarity with CI/CD processes, cloud infrastructure, and monitoring tools.
Exceptional collaboration and communication skills to work effectively with cross-functional teams.
Expertise in frameworks such as PyTorch or TensorFlow and technologies like Neo4j.
Experience in privacy preservation techniques within large language models (LLMs).

Technology Doesn't Change the World, People Do.

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Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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