MLE Engineer

Please fill out this Google form to be considered: https://docs.google.com/forms/d/e/1FAIpQLSf-4Tf82IJmSo2NAfIS2st6hDh7cP4nqPZbJq4dzOZueEXBSw/viewform?usp=dialog Company Description Verita AI is at the forefront of next-generation artificial intelligence, emphasizing the importance of nuance, multimodal reasoning, and human judgment. We are dedicated to building high-trust data pipelines for training and evaluating models across language, vision, audio, and video. Verita, meaning truth, reflects our commitment to creating contextually enriched, reliable data layers. Our team spun out of Mercor and comes from Stanford, Harvard, and leading AI organizations. We partner with research labs to build rigorous reinforcement learning environments for evaluating frontier AI systems, creating infrastructure that advances both experimentation and reliability in the field. Role Description This is a contract remote role for a Machine Learning Engineer (MLE). The MLE Engineer 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 ~1 week). The assessment is linked in the Google Form 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. Qualifications • 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 • Relevant experience in AI research and staying updated with industry advancements • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field is preferred