We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...
We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...
Machine Learning Engineer
San Francisco, CA · On-site
$164K - $266K/yr
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Machine Learning Engineer
San Francisco, CA · On-site
$164K - $266K/yr
What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...
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Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * Must be a U.S. citizen with the ability to obtain necessary ...
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Fremont, CA · On-site
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Fremont, CA · On-site
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$216K - $324K/yr
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$216K - $324K/yr
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We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...
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Palo Alto, CA · On-site
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We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...
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Machine Learning Engineer
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...
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$150K - $225K/yr
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Sunnyvale, CA · On-site
... engineering/science, and a minimum of 3 years relevant industry experience Experience with software coding in Python. Experience with one of the following: machine learning/deep learning systems ...
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Sunnyvale, CA · On-site
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Machine Learning Engineer
Fremont, CA · On-site
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...
Machine Learning Engineer
Fremont, CA · On-site
$150K - $220K/yr
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Machine Learning Engineer
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer Apprenticeship information
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Job description
About the Role:
AI at Eve isn't a feature - it's the foundation. We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake through resolution - we need engineers who can push our models and agent systems to be faster, smarter, and more reliable.
You'll own the full stack of applied ML - from data curation to evaluation and production deployment - building systems that handle the kind of complex, high-stakes reasoning that most AI products never have to touch. Working closely with product and legal experts, you'll ship fast, drive projects end-to-end, and help shape both the platform and the future of legal AI.
What You'll Do:
You'll build and improve ML systems that operate in real-world conditions, where reliability, accuracy, and domain nuance matter. At Eve, you will:
- Build AI systems that understand, analyze, and reason across complex legal tasks and queries
- Elevate AI Reasoning: Architect and refine the reasoning capabilities of our models to drive complex, high-stakes decision-making within the legal domain
- Treat model quality as a first-class ML optimization problem, using real usage data to make our systems more reliable, adaptable, and resilient
- Build rigorous evaluation frameworks that measure AI performance and ensure meaningful, trustworthy outcomes in a high-stakes legal context
- Collaborate Cross-Functionally: Work closely with product engineers to integrate models into user-facing features, and partner with legal professionals to translate domain expertise into technical requirements.
What We're Looking For:
You're a product-minded Machine Learning Engineer who enjoys building real systems people depend on. You'll likely have:
- 4+ years of engineering experience, with a focus on applied ML/AI products
- Proven track record of shipping ML systems in production, with real users and high uptime
- Experience developing advanced AI systems, particularly those that deconstruct complex tasks into manageable steps
- Strong analytical sense: you build frameworks to measure the metrics that matter and iterate quickly from real usage
- Ownership mindset: you drive projects end-to-end and thrive on problems that don't have clean answers yet
- Enjoy following SOTA research into new models and agent architectures