Verita AI
Please fill out this assessment to be considered:
Assessment link: https://www.hackerrank.com/test-v2/cokgoimqe88/bae38f5e200c3b24946a969e67dff6c4
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). 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
Seniority level
Entry level
Employment type
Contract
Job function
Engineering and Information Technology
Technology, Information and Internet
#J-18808-Ljbffr
Assessment link: https://www.hackerrank.com/test-v2/cokgoimqe88/bae38f5e200c3b24946a969e67dff6c4
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). 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
Seniority level
Entry level
Employment type
Contract
Job function
Engineering and Information Technology
Technology, Information and Internet
#J-18808-Ljbffr