Machine Learning Engineer

Latitude; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary and equity

Professional growth and leadership in

Job summary

Blue Voice is seeking a Machine Learning Engineer to join a venture-backed startup delivering Rails SaaS for first responders. You’ll design and implement core ML-powered features, contribute to the full ML lifecycle, and collaborate with a lean distributed team across the US.

The role blends remote work with occasional in-person sessions in the SF Bay Area. Ideal candidates have 3–4 years of software engineering, strong Python, ML fundamentals, APIs, data pipelines, and experience shipping

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-4 years of software engineering experience; earlier-career applicants welcome with strong work to show.
• Proficiency in Python and familiarity with modern software development best practices, including integrating AI into the development life cycle.
• Strong ML fundamentals, specifically LLMs and related technologies.
• Experience developing and deploying customer-facing SaaS applications.
• Solid backend fundamentals: APIs, data pipelines, testing, and debugging across service boundaries.
• Knowledge of or willingness to learn mobile application deployment and integration of ML components with mobile full stack development on React Native.
• Eligible for CJIS access: you must be a US person able to pass a fingerprint-based background check.

Responsibilities

• Collaborate closely with the Director of ML and the founding engineering team to design, implement, and iterate on our core SaaS product.
• Contribute to the full ML lifecycle for products, from design and implementation to evaluation and training, as well as to backend and occasional full-stack initiatives outside the traditional ML scope.
• Monitor production quality, surface regressions proactively, and help harden existing systems. Triage customer-reported issues end-to-end, identifying root causes and turning them into fixes and eval cases.
• Keep up to date with the latest developments in ML, specifically in LLMs and RAG, and be comfortable discussing new tools and approaches.
• Actively participate in product decisions and project deliverables, collaborating across the company with customer success and sales.

Skills

Python

LLMs

APIs

Data pipelines

React Native

CI/CD

Cloud platforms

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

CI/CD tools

ML frameworks

Job description

Machine Learning EngineerAbout Blue Voice

At Blue Voice our primary mission is to empower first responders with state-of-the-art SaaS solutions, leveraging machine learning and LLMs. We seek to modernize and revolutionize their workflow, response times, and overall efficiency while improving outcomes in the field. We are a venture-backed startup with a lean team distributed across the country and pods on the East and West coasts.

The Role

Position: Machine Learning Engineer

Reports to: Director of ML

Location: Remote (US). SF Bay Area preferred, with opportunities for in-person work.

Key Responsibilities:

• Collaborate closely with the Director of ML and the rest of the founding engineering team to design, implement, and iterate on our core SaaS product.
• Contribute to the full ML lifecycle for products, from design and implementation to evaluation and training, as well as to backend and occasional full-stack initiatives outside the traditional ML scope.
• Monitor production quality, surface regressions proactively, and help harden existing systems. Triage customer-reported issues end-to-end, identifying root causes and turning them into fixes and eval cases.
• Keep up to date with the latest developments in ML, specifically in LLMs and RAG, and be comfortable discussing new tools and approaches.
• Actively participate in product decisions and project deliverables, collaborating across the company with customer success and sales.

Basic Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-4 years of software engineering experience. We weigh what you've built and shipped alongside years of experience and welcome earlier-career applicants with strong work to show.
• Proficiency in Python and familiarity with modern software development best practices, including integrating AI into the development life cycle.
• Strong ML fundamentals, specifically LLMs and related technologies.
• Experience developing and deploying customer-facing SaaS applications.
• Solid backend fundamentals: APIs, data pipelines, testing, and debugging across service boundaries.
• Knowledge of or willingness to learn mobile application deployment and integration of ML components with mobile full stack development on React Native.
• Eligible for CJIS access: you must be a US person able to pass a fingerprint-based background check.

Preferred Qualifications:

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying scalable ML solutions in the cloud.
• Experience with CI/CD pipelines and Agile methodologies.
• Prior exposure to, or a strong interest in, the first responder ecosystem or related fields.

You'd be a great fit for this role if you:

• Are a self-starter with the ability to learn new skills quickly and pivot in a fast-evolving environment where development and deployments happen in a matter of days.
• Bring an opinion. When you find something, say what should change and why.
• Have a genuine passion for technology, in particular LLMs, and their potential to positively impact society.

Benefits:

• Competitive salary and equity.
• Opportunities for professional growth and leadership in a fast-growing startup.
• Flexible working hours and fully remote work.
• Health and wellness benefits.

Blue Voice is an equal opportunity employer. We are committed to building a diverse and inclusive team and encourage applications from candidates of all backgrounds and experiences.