Machine Learning Engineer

Company Description:

Verita AI is at the forefront of next-generation artificial intelligence, emphasizing 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 includes members from
Stanford
,
Harvard
, and leading AI organizations. We partner with world-class researchers and engineers to advance experimentation, rigor, and reliability in the field of AI.

Role Description:

• Design, implement, and optimize  state-of-the-art machine learning models  and training architectures.
• Build and scale  data pipelines  for model pretraining, fine-tuning, and evaluation.
• Develop and maintain  reinforcement learning and evaluation environments  that assess model reliability and robustness.
• Conduct  advanced model analysis  to identify behavioral failure modes and performance limitations.
• Rapidly iterate on models, datasets, and evaluation frameworks with minimal supervision.
• Integrate new  research insights and experimental findings  into applied systems.
• Contribute to  technical documentation and reproducible workflows  that meet high research standards.

Requirements:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field (required)
• Demonstrated expertise in  training, evaluating, and deploying advanced ML models
• Strong background in  multimodal learning ,  representation learning , or  reinforcement learning
• Fluency in  Python  and proficiency with  PyTorch ,  TensorFlow , or equivalent ML frameworks
• Experience with  data preprocessing ,  feature engineering , and  scalable ML pipelines
• Deep understanding of  AI model evaluation, interpretability, and bias analysis
• Self-directed, reliable, and detail-oriented with a high standard for research quality
• Excellent written and verbal communication skills

Compensation:

• $40–$200 per hour (contract)

Additional Details:

• Location:  Remote
• Type:  Contractor
• Time Commitment:  40 hours per week, with at least 3 hours overlapping PST (9am–5pm)
• Process:  Includes a take-home technical assessment (approx. one-week turnaround).