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Algorithm Scientist Jobs in San Marcos, TX (NOW HIRING)

Principal Data Scientist - Power and Renewables Intro As the technical leader for market modeling ... Strong understanding of market-clearing algorithms, security-constrained unit commitment (SCUC ...

About the Role Algorithms engineering at Base is the heart of our distributed fleet control and ... Our team is made up of physicists, economists, computer scientists, and engineers; the best ...

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture, operating systems, database systems, software engineering, discrete mathematics, and theory of ...

As Lead Data Scientist, you will spearhead the end-to-end development of sales forecasting and ... algorithms, forecasting and inventory optimization * 5+ yeras of experience in deep learning ...

... scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank ... Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating ...

Showing results 41-60

Algorithm Scientist information

See San Marcos, TX salary details

$45.7K

$100.8K

$124.5K

How much do algorithm scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for algorithm scientist in San Marcos, TX is $100,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $124,000.00 per year, depending on experience, location, and employer.

What is an algorithm scientist?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

How does an algorithm scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are the key skills and qualifications needed to thrive as an algorithm scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.

What cities near San Marcos, TX are hiring for Algorithm Scientist jobs?

Cities near San Marcos, TX with the most Algorithm Scientist job openings:

AI Research Scientist (Intelligence Lab)

webAI

Austin, TX • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. The AI Research Scientist will work within webAI’s Intelligence Lab to push the boundaries of AI development, collaborating with engineers to create innovative models that have real-world impact.
Responsibilities:
• Algorithm Development: Design and train novel architectures (e.g., Transformers, State-Space Models, Diffusion) to solve complex business problems.
• Experimental Design: Lead the hypothesis-testing phase, defining evaluation benchmarks and loss functions that align with human intent.
• Literature Leadership: Stay at the bleeding edge of ArXiv and academic conferences (NeurIPS, ICML, CVPR) to implement or improve upon the latest research.
• Prototyping: Build "proof-of-concept" models that demonstrate a significant leap in accuracy, speed, or reasoning capability.
• Knowledge Transfer: Document findings and mentor engineers on the mathematical nuances of the models.
Qualifications:
Required:
• 5+ years of post-doc or industrial research experience or equivalent university time with a deep experience that matches WIL objectives to include with a track record of publications or significant model releases.
• Mastery of linear algebra, calculus, and probability; deep proficiency in Python and deep learning frameworks.
• PhD in Machine Learning, Mathematics, Physics, or a highly quantitative field.
Company:
The leader in private AI. Founded in 2020, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.