Machine Learning Engineer

Mission Context

We are building a causal decision engine for high-stakes systems — where reasoning must be explicit, interventions must be provable, and outcomes must be accountable. As a Machine Learning Engineer, you will work on the applied layer of Abel’s causal intelligence stack, helping turn advanced models and ideas into reliable, real-world systems.

This role is ideal for engineers who want to grow fast by working close to production AI, modern LLM systems, and real decision-making problems.

The Role

You will contribute to the development, training, and deployment of machine learning systems that power Abel’s products. This is a hands-on engineering role with exposure to LLMs, agents, data pipelines, and real-world constraints — not a research-only or support position.

What You’ll Work On

• Implement and train machine learning and generative models (including LLM-based systems)

• Build and maintain data pipelines for training, evaluation, and inference

• Support agent-based workflows for reasoning, simulation, and decision support

• Collaborate with senior engineers and researchers to bring models into production

• Debug, evaluate, and iterate on models under real performance and reliability constraints
  
  

What We Look For

• Solid foundations in machine learning and modern deep learning

• Hands-on experience with Python and common ML frameworks (PyTorch preferred)

• Familiarity with LLMs, transformers, or generative models

• Comfort working with data: cleaning, preprocessing, and evaluation

• Curiosity, ownership, and a strong desire to learn by building
  
  

Bonus

• Exposure to time series data, multimodal models, or causal reasoning concepts
  
  

Work Style

• Impact-first: focus on building things that work

• Learning-by-doing: fast feedback, real systems, real users

• Ownership-minded: take responsibility for what you ship

• Collaborative: learn from researchers and senior engineers
  
  

Why Join Abel

• Work on real-world AI systems, not toy problems

• Learn directly from experienced AI researchers and engineers

• Build foundations in LLMs, agents, and decision intelligence

• Grow quickly in a high-ownership, low-bureaucracy environment
  
  

Apply

Send your resume or profile to hiring@abel.ai

Subject

[Application] ML Engineer – Your Name

Shape the future of intelligent decision systems with us.