Machine Learning Engineer / Fusioneer - Sapientai : Job Details

Job description

Sapientai (a.k.a. Sapient AI) is an ML/AI company in Austin, TX positioned for rapid growth and looking for a strongly self-motivated, ambitious candidate with a background in computational engineering/mathematics/plasma physics and software development to join our team. Sapientai specializes in high-tech, innovation-driven technologies, while maintaining the adaptive and agile core of a fast-moving startup. The current opening will have a primary focus on fusion energy, expanding into related workflows and other high-tech industries.

Qualifications

• PhD or MSc in Plasma Physics, Nuclear Engineering, Applied Mathematics, Physics, Computer Science, Engineering, Computational Sciences or similar technical field.
• Good communicator.
• Collaborative team player with the confidence to also drive initiatives independently.
• Adept multitasker who thrives in dynamic environments.
• Creative and resourceful approach to problem-solving.
• Functional proficiency in Python, with an enthusiasm for software development.
• Sharp analytical and troubleshooting skills.
• Experience in ML/AI, broad knowledge, knowledge in statistical methodologies, multi-task classifiers, multi-view learning, etc.

Work Environment

• A trajectory set for rapid expansion and influence.
• Compensation that recognizes your worth, complemented by comprehensive benefits and ownership-based incentives.
• A workspace championing diversity and inclusion.
• Prime location adjacent to Zilker Park in Downtown Austin, TX.
• Flexibility with a hybrid work model. Strong preference for candidates willing to relocate to Austin if necessary.
• Continuous learning and employee growth avenues.

Key Responsibilities

• Lead and innovate by adapting, refining, and deploying SOTA AI/ML/ADA techniques.
• Shape our infrastructure to boost service deployment capabilities (DevOps).
• Collaborate with our esteemed clientele to seamlessly integrate our products (MLOps).
• Strategize and gear up for an accelerated growth phase.

Preferred Competencies

• Expertise and/or interest in learning plasma physics / nuclear engineering.
• Solid grasp of intricate mathematical and computational methodologies; particularly, in classifiers and multi-task classification.
• A natural curiosity, paired with a drive for self-directed learning and exploration.
• Hands-on experience in data science, coupled with skills in explainable AI.
• Extensive proficiency in python frameworks such as Keras, Tensorflow, PyTorch, Jax, Dash, etc.
• Full stack development experience (especially experience in Electron).

Application Process

Ready to make waves in the world of AI and clean energy? Go to to apply.