6d ago
$198K – $259K • Offers Equity • Multiple Ranges/yr

AI engineer

United StatesUnited States·San Franciscofull-timemid
Machine Learning EngineerData
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Quick Summary

Overview

🚀 About WRITER WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterprise growth. With WRITER,

Technical Tools
Machine Learning EngineerData

WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterprise growth. With WRITER, autonomous agents work across the buyer journey, continuously executing on market signals and enterprise intelligence to grow revenue faster. Every agent action and asset is grounded in trust, built on an Enterprise Brain that unites brand, product, and company knowledge with fiduciary-grade governance and compliance.

Fortune 500 companies are transforming how they go to market with WRITER, including 3 of the top 5 US banks, 2 of the 5 largest global CPG conglomerates, and 4 of the top 5 US healthcare insurers. Founded in 2020, WRITER is backed by investors including Insight Partners, ICONIQ, Radical Ventures, Premji Invest, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Accenture, Citi Ventures, IBM Ventures, WndrCo, and others. Learn more at WRITER.com.

About the Role

~1 min read

As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data.

This role can be hybrid in our San Francisco, New York City, or Seattle hubs. You'll report to the head of AI engineering.

Responsibilities

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  • →

    Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform.

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    Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers.

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    Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs.

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    Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space.

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    Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical.

Requirements

~1 min read
  • 5+ years of professional experience building and deploying machine learning or AI systems in a production environment.

  • Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX.

  • A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models.

  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle.

  • Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems.

  • Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions.

  • You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence.

What We Offer

~1 min read
✓Generous PTO, plus company holidays
✓Medical, dental, and vision coverage for you and your family
✓Paid parental leave for all parents (16 weeks)
✓Fertility and family planning support
✓Early-detection cancer testing through Galleri
✓Flexible spending account and dependent FSA options
✓Health savings account for eligible plans with company contribution
✓Annual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.
✓Learning and development stipend
✓Company-wide off-sites and team off-sites
✓Competitive compensation, company stock options and 401k

Location & Eligibility

Where is the job
San Francisco, United States
Hybrid, some on-site time required
Who can apply
US

About this job

Pay per year
$198,000–$259,000 a year
9% above the $208,788 median for Machine Learning Engineer jobs on Jobera (1,002 salaries).
Who can apply
United States
Posted
6 days ago
Employer
has 48 open jobs on Jobera in 2 countries.

Listing Details

Posted
November 3, 2026
First seen
November 4, 2026
Last seen
November 9, 2026

Posting Health

Days active
5
Repost count
0
Trust Level
49%
Scored at
November 9, 2026

Signal breakdown

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AI engineer$198K – $259K • Offers Equity • Multiple Ranges