Machine Learning Engineer, Data & Training
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 itPreferred 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.100% Remote Work
Flexible Work Schedule
Annual Company Retreat
Comprehensive Insurance Coverage and Retirement Benefits