Sapientai is a young startup specializing in MLaaS and based in Austin, TX. Our team consists of researchers, developers, and engineers. Sapientai's expert workforce focuses on high-tech, innovation-driven technologies with high social impact, such as nuclear fusion, brain/human computer interfaces (BCI/HCI), business intelligence, and health care. We currently serve more than five research companies and are in negotiation with other companies looking to expand and lend our services for state-of-the-art, pragmatic solutions to challenging and important applications that provide positive value to the world.
Sapientai is looking for a self-motivated and ambitious candidate with a background in applied math, computational engineering, and/or computer science, with comfort working with the physical and natural sciences, to join our team. The Sapientai team is diverse, highly skilled, innovative, and on mission to impact targeted industries, while maintaining the adaptive and agile core of a fast-moving startup.
What You Will Do
- Responsible for developing and implementing fast, efficient, effective models that meet our company's standard of solution
- Develop and rapidly prototype cutting-edge algorithms
- Interact/interface with customers on application/technology details, needs, and ongoing support
- Use ML to identify general and/or segmented patterns of data from unique datasets
- Optimize and enhance existing codes from previously deployed solutions
- Adapt state-of-the-art AI/ML techniques in the broadest possible (algorithmic) sense
- Help to set up infrastructure to deploy services online
- Help to prepare reports to manager and/or company
Qualifications
- PhD or MSc in Applied Mathematics, Computational Engineering, Computer Science, Engineering, Physics, Neuroscience, or similar technical field
- Ability to rapidly prototype (e.g., neural network) algorithms
- Good communicator
- Ability to work in a team, as well as independently
- Ability to multitask on multiple projects, with broad interests and/or knowledge base
- Fluency in Python with advanced knowledge in machine learning, e.g., Keras, Tensorflow, PyTorch, etc.
- Excellent problem solving skills with ability to orient oneself rapidly around new data sets
Work Environment
- Involvement at the ground level in a fast-growing, dynamic team
- Competitive compensation and benefits with equity options
- Inclusive and diverse work environment
- Office near Zilker Park, Downtown Austin, TX
- Remote/hybrid work options
- Employee development opportunities
Preferred Competencies
- Experience with plasma physics, fluid dynamics, and/or complex engineered systems
- Experience in applied mathematics and algorithmic design
- Experience in data sciences, algorithmic interpretation, and data visualization
- Experience using interpretable ML techniques
- Experience with causal inference approaches
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finished (2021/10/01, finished 2022/07/02, listed until 2022/01/01)
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