Who We Are

We’re a fast-growing startup co-founded by executives from Silicon Valley High Tech (MSFT/Meta/Snap) and leading professors at the top US University (UCSD). We’re building the first Causal Decision Engine —uniting world-class causal intelligence with GenAI to structure data and knowledge into Verified Insights, Stronger Reasoning and Executable Actions. Our investors include the top-notch angels, Nasdaq IPO-ed industry leaders and boutique VC across Silicon Valley and Singapore. Join our core AI team and push the boundaries of Causal General Intelligence!

The Role

We’re hiring grounding and motivated ML engineer interns with hands-on AI full stack and agent experience. You’ll with on large language models (LLMs), LLM Agents, time series modeling in complex, high-impact applications.

What You’ll Do

• Architect and ship production-grade AI products for real-world decision-making systems.
• Own mission-critical projects across multimodal data pipelines, model optimization, and system scalability.
• Collaborate with world-class researchers and engineers to redefine AI’s role in high-impact domains.

What We Look For

• Hands-on experience with LLMs (pre-training or post-training) and LLM Agents
• Strong background in general machine learning and generative models
• Experience in large data cleaning and preprocessing
• Experience with multi-modality models or time series data or causal inference is a plus

Work Style

• Impact-first: No bureaucracy—focus on outcomes, not meetings.
• Ownership-driven: No question is “other”’s question - move the needle in high quality.

Why Join Us

• Top Compensation: Competitive salary + equity/token grants.
• Elite Mentorship: Learn from pioneers in AI research and engineering.
• Accelerated Growth: Lead high-impact projects and scale with the company.
• Build the Future: Solve hard problems that reshape trillion-dollar industries.
• Zero-BS Culture: Flat hierarchy, global team, and relentless focus on innovation.

Apply Now

Send your resume to hiring@abel.ai with subject line:

[Application] ML Engineer - [Your Name]

Shape the future of intelligent decision systems with us.