Senior Data Scientist | Remote
Position: VP of AI Engineering
Type: Full-time
Compensation: $1.5M–$2M/year
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
• Own and lead AI engineering across core products and research tooling.
• Evaluate, fine-tune, and build on top of foundation models; train non-LLM models where required.
• Establish best practices for model evaluation, human-in-the-loop data, and feedback systems.
• Lead, scale, and mentor a globally distributed AI engineering team.
• Contribute hands-on to model development and backend systems as needed.
• Set technical direction for new AI tools and platforms in close collaboration with Product and Engineering.
• Partner directly with the CEO on technical strategy, hiring, and execution.
• Support customer-facing technical discussions when required.
Requirements
• Deep, hands-on experience building and deploying AI/ML systems in production environments.
• Strong background in training models from scratch and fine-tuning large language models.
• Advanced understanding of evaluation frameworks, human-in-the-loop systems, and data quality.
• Proven technical leadership with a strong execution-oriented mindset.
• Ability to operate effectively in fast-paced, ambiguous environments.
• Excellent communication skills across technical and non-technical stakeholders.
Application Process (Takes 20 Min)
• Upload resume
• Interview
• Submit form
Apply Now
Apply Now
Type: Full-time
Compensation: $1.5M–$2M/year
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
• Own and lead AI engineering across core products and research tooling.
• Evaluate, fine-tune, and build on top of foundation models; train non-LLM models where required.
• Establish best practices for model evaluation, human-in-the-loop data, and feedback systems.
• Lead, scale, and mentor a globally distributed AI engineering team.
• Contribute hands-on to model development and backend systems as needed.
• Set technical direction for new AI tools and platforms in close collaboration with Product and Engineering.
• Partner directly with the CEO on technical strategy, hiring, and execution.
• Support customer-facing technical discussions when required.
Requirements
• Deep, hands-on experience building and deploying AI/ML systems in production environments.
• Strong background in training models from scratch and fine-tuning large language models.
• Advanced understanding of evaluation frameworks, human-in-the-loop systems, and data quality.
• Proven technical leadership with a strong execution-oriented mindset.
• Ability to operate effectively in fast-paced, ambiguous environments.
• Excellent communication skills across technical and non-technical stakeholders.
Application Process (Takes 20 Min)
• Upload resume
• Interview
• Submit form
Apply Now
Apply Now