Machine Learning Engineer, Data & Training

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 [email protected]

• 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.