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).