Machine Learning Engineer, Data & Training

Wordbricks, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

100% Remote Work

Flexible Work Schedule

Annual Company Retreat

Insurance & Retirement Benefits

Job summary

Wordbricks, Inc. seeks a Machine Learning Engineer, Data & Training to own the end-to-end path from raw data to trained models in the San Francisco Bay Area or remotely.

You will build data pipelines, curate datasets, train and evaluate models, and partner with product and engineering to translate improvements into user-visible gains. The ideal candidate has 3+ years of ML or data engineering experience, hands-on model training, strong Python and data tooling skills, and a focus on data quality.

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.

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

Skills

ML engineering

Python

Data tooling

Data quality

Tools

PyTorch

TensorFlow

Pandas

Job description

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