Role overview
This is a
remote contract role
for a
Machine Learning Engineer (MLE)
. The MLE will be responsible for designing, implementing, and optimizing machine learning models. This includes data preprocessing, feature engineering, model training, evaluation, and deployment. The role also involves improving multimodal data pipelines, collaborating with cross-functional teams, and staying current with the latest AI research.
As part of the process, candidates will complete a
take-home technical assessment
(turnaround time approximately one week). The assessment is linked above. Those who pass will be invited to interview with a stealth startup led by a CEO who was employee #50 at Anthropic and helped build Claude’s pretraining pipelines.
What we're looking for
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field (required)
- Experience with designing and optimizing machine learning models
- Proficiency in data preprocessing and feature engineering
- Ability to evaluate and deploy machine learning models
- Experience with multimodal data pipelines
- Strong programming skills in Python and familiarity with popular ML libraries (e.g., TensorFlow, PyTorch)
- Excellent problem-solving and analytical skills
- Ability to work independently and remotely
- Demonstrated experience in AI research and staying updated with industry advancements
Tags & focus areas
Used for matching and alerts on DevFound Contract Remote Ai Machine Learning Generative Ai Pytorch Tensorflow