Machine Learning Engineer - Attis

AI Engineer - Graph Neural Networks (GNN) or Reinforcement Learning (RL)

Hybrid in Houston, TX

$150k-$180k annually, plus options package

Industry regulations mean you must be a US Citizen, or Permanent US Resident to be eligible

AI Engineer required for a rapidly growing tech start-up, with a strong commercial background in either Graph Neural Networks (GNN) or Reinforcement Learning (RL).

They have recently secured significant government contracts and are expanding to meet new challenges in the aerospace sector.

As an AI Engineer you will be pivotal in designing and implementing cutting-edge machine learning models on exciting projects that redefine the optimization of space communications and data routing.

Key Responsibilities:

• Develop and deploy machine learning models, with a focus on graph neural networks or reinforcement learning
• Collaborate within a cross-functional team, including data scientists, aerospace engineers, and software developers, to drive innovative solutions.
• Engage deeply with time series data and advanced ML methodologies beyond basic regression.
• Contribute to existing Python code (any interest in working with Rust is also attractive).
• Play a key role in training, evaluating, and enhancing model performance.

Qualifications:

• Strong proficiency in Python and experience with graph neural networks or reinforcement learning.
• 2 to 5 years of relevant experience in a professional setting.
• Background in time series data analysis and advanced model experimentation.
• Ability to thrive in a start-up environment, comfortable with rapid prototyping and iterative development.
• Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degrees are an advantage.

Ideal Candidate:

The ideal candidate is not only technically proficient but also a team player who is passionate about innovation and collaboration. They should excel in environments where they can propose and test new ideas and have the curiosity and drive to continuously improve their technical skills.

Benefits:

• $150k-$180k plus benefits and equity options.
• Flexible working arrangements with a hybrid setup in Houston, TX.

If you fit the criteria and are eligible for the role, then please apply ASAP and we will be in touch!