Job description

San Francisco Bay Area

Global Offices or Remote Available

What we're looking for

As our ML, Data & Training engineer at Wordbricks, you will own the full path from raw data to trained models: data collection, curation, training, and evaluation. You'll decide what our models learn and how well they learn it.

Responsibilities

Build and run data collection and labeling pipelines
Own dataset curation, quality, and versioning
Train, fine-tune, and evaluate the models behind our products
Work with product and engineering to turn model improvements into user-visible wins

Qualifications

3+ years of experience in ML engineering, data engineering, or a related role
Hands-on experience training or fine-tuning models (LLMs a plus)
Strong Python and data tooling skills
You care deeply about data quality and can prove it

Preferred Qualifications

Experience with RLHF, preference data, or synthetic data generation
Background in evaluation design for LLM systems
Contributions to open-source models or datasets

About Wordbricks

At Wordbricks, we believe AI shouldn't be locked away for tech experts—it should be for anyone who's ever sighed at cluttered files, copy-pasted the same thing 47 times, or spent hours wrangling messy data.

We're a group of curious minds pushing limits and making work smarter. Our organization is flat, and our team is small and talent-dense. We particularly value creativity, passion, and a drive to make complex technology accessible to everyone.

Why Join Wordbricks?

Be part of a dynamic and forward-thinking team dedicated to technological innovation.
Access to cutting-edge technology and resources to support your professional growth.
Competitive compensation package and benefits.
A collaborative and inclusive work culture that values diversity and creativity.

Benefits

100% Remote Work
Flexible Work Schedule
Annual Company Retreat
Comprehensive Insurance Coverage and Retirement Benefits

How to Apply

Does this role sound like a good fit? Email us at hr@wordbricks.ai

Include the role's title in your subject line.
Include a LinkedIn profile link or resume.
Send along links that best showcase the relevant things you've built and done.