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.