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. ResponsibilitiesBuild 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 winsQualifications3+ 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 QualificationsExperience with RLHF, preference data, or synthetic data generation Background in evaluation design for LLM systems Contributions to open-source models or datasetsAbout 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#J-18808-Ljbffr