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Senior Machine Learning Scientist Jobs in Georgetown, TX

Staff Machine Learning Engineer

Austin, TX · On-site +1

$208K - $255K/yr

Jeppesen ForeFlight is seeking a Senior Machine Learning Engineer to help build and scale domain ... Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering ...

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Working at the intersection of computer science, marine science, and data analytics, this position ...

New

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

At more senior levels, you will also define technical strategy, mentor engineers, and influence how ... Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience ...

Preferred : • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. • Experience developing ML algorithms for autonomous vehicles or robotics applications. • ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Austin, TX · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 41-60

Senior Machine Learning Scientist information

See Georgetown, TX salary details

$61.8K

$102.7K

$152.8K

How much do senior machine learning scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior machine learning scientist in Georgetown, TX is $102,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $116,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Machine Learning Scientist vs Data Scientist?

AspectSenior Machine Learning ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldBachelor's or Master's in CS, Statistics, or related field
Work EnvironmentFocus on developing ML models, algorithms, and researchData analysis, visualization, and business insights
Industry UsageUsed in AI-driven companies, tech firms, research labsCommon across industries for data analysis and reporting

While both roles involve working with data, Senior Machine Learning Scientists focus on developing advanced ML models and algorithms, often requiring research and deep technical expertise. Data Scientists typically analyze data to generate insights and support decision-making. The roles overlap but differ mainly in technical depth and focus area.

What is a senior machine learning scientist?

Senior Machine Learning Scientists are experienced professionals who design, develop, and implement advanced machine learning models to solve complex business or research problems. They are responsible for leading projects, mentoring junior team members, and staying updated on the latest AI and data science technologies. Their work often involves analyzing large datasets, selecting the right algorithms, and optimizing model performance for real-world applications. In addition to technical expertise, they often collaborate cross-functionally to align machine learning solutions with organizational goals.

What are the key skills and qualifications needed to thrive as a senior machine learning scientist?

To thrive as a Senior Machine Learning Scientist, you need expertise in machine learning algorithms, statistical analysis, programming (usually in Python or R), and an advanced degree (often a Ph.D.) in a quantitative field. Experience with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms, and version control systems is typically expected, along with knowledge of deploying models in production environments. Exceptional problem-solving, communication, and leadership skills help you translate complex data insights into actionable business solutions and mentor junior team members. These skills are crucial for developing innovative models, ensuring robust deployment, and driving impactful data-driven decisions.

What are some common challenges senior machine learning scientists face when deploying models to production environments?

Senior Machine Learning Scientists often encounter challenges such as ensuring model scalability, maintaining model performance over time, and addressing data drift once models are deployed to production. Collaborating closely with engineering and operations teams is crucial to streamline deployment pipelines and monitor models for real-world reliability. It’s also important to communicate findings and potential risks to stakeholders, and to regularly update models based on new data or business requirements. These aspects make strong cross-functional teamwork and problem-solving skills essential in this role.
What are popular job titles related to Senior Machine Learning Scientist jobs in Georgetown, TX? For Senior Machine Learning Scientist jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Scientist jobs in Georgetown, TX look for? The top searched job categories for Senior Machine Learning Scientist jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Senior Machine Learning Scientist jobs? Cities near Georgetown, TX with the most Senior Machine Learning Scientist job openings:
Infographic showing various Senior Machine Learning Scientist job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,709 per year, or $49.4 per hour.

Senior ML Engineer - Healthcare AI & LLMs Lead

Autonomize, Inc

Austin, TX • On-site

$120 - $150/hr

Other

Posted 7 days ago


Job description

Autonomize, Inc, located in Austin, is seeking a Senior Machine Learning Engineer who will lead the development and deployment of machine learning solutions aimed at revolutionizing healthcare. You will fine-tune large language models, develop vision-based data approaches, and enhance classic NLP models.

The ideal candidate has 5-7 years of experience in machine learning engineering and is well-versed in technologies like TensorFlow and PyTorch. The position offers competitive compensation, 100% employer-paid health insurance, and a chance to make an impact in the future of healthcare.

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