Staff Software Engineer, Machine Learning

Location: Burlingame, CA (On-site, 4 days a week)

Compensation: $145,000 -$250,000 (Base Salary) + Equity Options

We are a rapidly growing AI company applying Large Language Models (LLMs) to transform a critical, high-impact domain within the healthcare industry. We're looking for a highly skilled and experienced Staff Software Engineer, Machine Learning to drive the architecture and scaling of our LLM backend systems.

This role is ideal for an engineer who thrives at the intersection of backend architecture and applied AI, designing the APIs, data pipelines, and infrastructure that make LLMs reliable, secure, and cost-efficient in production. Join us and help push LLMs beyond demos into mission-critical healthcare workflows.

Job Description 🖥️

As a Staff Software Engineer, you’ll be a technical leader responsible for the end-to-end delivery of our core LLM backend projects, setting the engineering best practices, and mentoring peers in system design.

Key Responsibilities:

Senior Data/AI/ML Software Engineer

Location: Hybrid (San Francisco Bay Area) or Remote (US Only for exceptional candidates)

Compensation: $150,000 - $300,000 (Varies based on level and location) + Equity

We are a pioneering Clinical Data Intelligence platform that leverages cutting-edge AI, Machine Reading, and Knowledge Graph technology to automate cognitive tasks involving clinical data. Our solutions directly empower clinicians, researchers, and care coordinators to improve efficiency, reduce frustration, and enhance patient care. We are seeking a Senior Data/AI/ML Software Engineer to build and scale the core components of our mission-critical platform.

You'll be responsible for designing, implementing, and improving data-intensive systems that automate the extraction and synthesis of health information. Your work directly impacts applications used by clinicians every day.

What you'll do:

Founding Full Stack Software Engineer (Backend/AI Focus)

Location: Los Angeles, CA (100% On-site)

Compensation: $170,000 - $225,000 (Base Salary) + Significant Equity

We are an early-stage, YC-backed company building fully autonomous AI agents powered by in-house models that can find, exploit, and patch complex vulnerabilities in web applications at massive scale. We are seeking a passionate Founding Full Stack Software Engineer to build and scale the core systems. This is a high-impact role with a focus on backend architecture and AI agent systems, directly addressing the speed and scale challenges posed by AI-generated code.

As a Founding Engineer, you will have significant responsibility for designing, developing, and maintaining our scalable, high-performance web applications and cutting-edge AI Agent systems. Your focus will be on the backend and AI components.

Key Responsibilities:

Location: San Francisco, CA

Employment Type: Full-time

Work Arrangement: On-site (minimum 3 days per week)

About the Role

Our client, a venture-backed company aiming to revolutionize the networking industry by creating a vertically integrated infrastructure provider, is seeking a Model Engineer to join their founding core AI team. This is a high-impact role focused on transforming a market with hundreds of billions in revenue by applying cutting-edge machine learning to internet infrastructure.

You will be responsible for the full lifecycle of model development, from data to production deployment, and will directly collaborate with founders to define technical vision and team culture.

What You'll Do

Founding ML/Data Science Engineer

Location: San Francisco, CA (Hybrid) Employment Type: Full-time

About the Role

Our client is building the revenue execution system for B2B enterprises, tackling the underpenetrated space of post-sales enablement. They are combining LLMs with structured customer data to automate account scoring, cohort segmentation, and expansion playbooks. As a Founding ML/Data Science Engineer, you'll work directly with the founders to architect, build, and scale this platform from 0 to 1, with full ownership of core features.

This role requires a hybrid engineer who can both architect production ML systems and make sophisticated modeling decisions. You'll need to be equally comfortable with classical ML and cutting-edge language models.

Core Responsibilities

AI Software Engineer (Generative AI)

Azumo, a leading AI Development company, is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers. We specialize in delivering Top AI Development services, helping organizations build intelligent applications powered by Generative AI, large language models (LLMs), and advanced automation.

As part of our team, you will collaborate with engineers, data scientists, and domain experts across SaaS, cloud, and big data environments. You will work on cutting-edge AI software development services, translating research into production-ready solutions that drive real-world impact for global clients.

At Azumo, you’ll thrive if you enjoy the full lifecycle of Generative AI development—from ideation and prototyping to deployment, monitoring, and scaling intelligent applications.

About the Role

We're an AI-native company leveraging AI to automate complex back-office workflows and tasks in the freight industry. Our mission is to unlock profits and lower costs by addressing the bad data and inefficient workflows that plague the supply chain. We’re expanding our AI team and are looking for a talented AI Engineer to build both AI models and features that directly impact our business. The role is broad, offering the opportunity to work on everything from training and deploying in-house multimodal Large Language Models (LLMs) to scaling our inference infrastructure and building AI agent workflows.

What You'll Work On

Your primary focus will be on document extraction and understanding, using multimodal LLMs to extract, normalize, and link data with a high degree of accuracy. You'll also work on scaling our machine learning platform to handle significant increases in training and inference volume. Future projects will include expanding our AI capabilities into workflow automation and audit using AI agents.

This role spans multiple domains:

At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth.

Quento Technologies seeks a highly motivated and experienced AI/GenAI - ML Engineer for build and maintain scalable and efficient machine learning pipelines. At Quento, we empower our people to innovate and lead in delivering transformative ICT solutions to our clients worldwide. Our high-performing, dynamic, and collaborative environment fosters professional growth at every stage.

Your responsibilities will entail:

At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth.

Quento Technologies seeks a highly motivated and experienced AI/GenAI - ML Engineer for build and maintain scalable and efficient machine learning pipelines. At Quento, we empower our people to innovate and lead in delivering transformative ICT solutions to our clients worldwide. Our high-performing, dynamic, and collaborative environment fosters professional growth at every stage.

Your responsibilities will entail:

Being one of the most tech driven shipping companies, we are seeking an AI Specialist with expertise in Machine Learning and Large Language Models (LLMs) to join our Digital Transformation team. You will design and implement AI solutions, fine-tune models like GPT, and build intelligent systems that enhance business processes through automation and advanced analytics.

• Define AI strategies aligned with business goals (e.g., automation, prediction)
• Lead development and fine-tuning of ML/LLM models for industry-specific use cases
• Build full ML pipelines: preprocessing, training, evaluation, deployment
• Develop intelligent agents and autonomous AI workflows
• Monitor models for drift and optimize performance as needed
• Report on performance and recommend retraining or tuning
• Document solutions for smooth internal adoption
• Ensure compliance with data privacy and AI governance standards
• Stay updated on AI trends, tools, and best practices

Requirements