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Climate Research Scientist Machine Learning Jobs in Austin, TX

Rokt

Staff Applied Scientist (Machine Learning)

Austin, TX · On-site

$290 - $615/hr

Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...

Rokt

Staff Applied Scientist - Machine Learning

Austin, TX · Hybrid

$470K - $615K/yr

Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...

webAI

AI Research Scientist

Austin, TX · On-site

The AI Research Scientist will design, train, evaluate, and optimize cutting-edge machine learning models, collaborating with various teams to ensure innovations have real-world impact.

SEMRON

ML Research Scientist

Austin, TX · On-site

SEMRON is redefining what's possible in AI hardware, and they are seeking an ML Research Scientist ... Required : • PhD or equivalent research experience in machine learning, applied mathematics, or a ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Work closely with researchers, software engineers, and robotics experts to integrate machine ... Preferred : • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field ...

webAI Inc

AI Research Scientist

Austin, TX · On-site

The AI Research Scientist will contribute to webAI's development of next-generation AI models and ... Design, train, and optimize machine learning models including LLMs, multimodal models, transformers ...

webAI Inc

AI Research Scientist

Austin, TX · On-site

The AI Research Scientist will work within webAI's Intelligence Lab as the "brain" of development ... PhD in Machine Learning, Mathematics, Physics, or a highly quantitative field. We at webAI are ...

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All JobsClimate Research Scientist Machine Learning JobsClimate Research Scientist Machine Learning Jobs in Austin, TX

Climate Research Scientist Machine Learning information

See Austin, TX salary details

$50.1K

$129K

$172.5K

How much do climate research scientist machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for climate research scientist machine learning in Austin, TX is $128,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $171,500.00 per year, depending on experience, location, and employer.

What does a climate research scientist specializing in machine learning do?

A Climate Research Scientist who specializes in Machine Learning uses advanced algorithms and computational models to analyze climate data and improve predictions about climate change. They work with large datasets from satellites, weather stations, and simulations to identify patterns, make forecasts, and assess environmental impacts. Their work helps inform policy decisions, guide mitigation strategies, and advance our scientific understanding of the Earth's climate system. Collaboration with other scientists, governments, and organizations is often a key part of the role.

What are the key skills and qualifications needed to thrive as a climate research scientist specializing in machine learning?

To thrive as a Climate Research Scientist specializing in Machine Learning, you need a solid background in climate science, statistical analysis, and advanced machine learning techniques, typically supported by a graduate degree in a related field. Experience with programming languages like Python or R, familiarity with climate modeling software, and proficiency in machine learning frameworks such as TensorFlow or PyTorch are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you explain complex findings to diverse audiences and collaborate across disciplines. These skills and qualities are crucial for advancing climate research, developing innovative solutions, and informing policy decisions based on robust data analysis.

How do climate research scientists specializing in machine learning typically collaborate with multidisciplinary teams?

Climate Research Scientists with expertise in Machine Learning often work closely with meteorologists, data engineers, environmental scientists, and policy experts. They contribute by developing and refining predictive models using large climate datasets, while also translating complex outputs into actionable insights for decision-makers. Collaboration often involves regular team meetings, joint publications, and integrating domain expertise to ensure that the models are both scientifically robust and practically useful. Strong communication skills are valuable, as these scientists frequently explain technical concepts to colleagues from non-technical backgrounds.

What is the difference between Climate Research Scientist Machine Learning vs Climate Data Analyst?

AspectClimate Research Scientist Machine LearningClimate Data Analyst
Required CredentialsMaster's or PhD in Climate Science, Data Science, or related fields; knowledge of machine learningBachelor's or Master's in Environmental Science, Data Analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, environmental agencies, often collaborative and interdisciplinaryGovernment agencies, consulting firms, NGOs; focus on data processing and reporting
Employer & Industry UsageResearch institutions, academia, environmental organizations integrating machine learningPolicy organizations, environmental consultancies analyzing climate data

While both roles involve climate data, Climate Research Scientist Machine Learning focuses on developing predictive models using advanced algorithms, whereas Climate Data Analysts primarily process and interpret climate datasets to inform decisions. The former requires more specialized knowledge in machine learning techniques, while the latter emphasizes data management and reporting skills.

What are popular job titles related to Climate Research Scientist Machine Learning jobs in Austin, TX?

For Climate Research Scientist Machine Learning jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Climate Research Scientist Machine Learning jobs in Austin, TX look for?

The top searched job categories for Climate Research Scientist Machine Learning jobs in Austin, TX are:

What cities near Austin, TX are hiring for Climate Research Scientist Machine Learning jobs?

Cities near Austin, TX with the most Climate Research Scientist Machine Learning job openings:

Climate Research Scientist Machine Learning jobs near you
Infographic showing various Climate Research Scientist Machine Learning job openings in Austin, TX as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $128,973 per year, or $62 per hour.

Staff Applied Scientist (Machine Learning)

Rokt

Austin, TX • On-site

$290 - $615/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt ecommerce Network leverages proprietary machine learning systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.

The Role:

As a Staff Applied Scientist in the Rokt Brain team, you will lead applied research, experimentation, and model development projects - harnessing a diversity of ML theories, concepts, and models to improve complex systems powering 10 billion+ transactions per year.

Growth:

pathways to Principal Applied Scientist (IC Track) and Applied Science Manager/Director (People Leader track) per your preferences and abilities.

Pay:

Target total compensation ranges from $470k - $615k, comprised of a fixed annual salary of $290k - $360k, plus employee equity plan grant. In addition, you will receive world‑class employee benefits.

Responsibilities:Technical
  • Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt.
  • Optimise auction and decisioning logic, applying model predictions to maximise value across Rokt’s multi‑sided marketplace
  • Conduct applied ML research, prototype new modeling approaches, and rigorously test innovations.
  • Evaluate and improve model performance, ensuring robustness, scalability, and interpretability.
  • Translate complex business needs into practical ML solutions, collaborating with product and engineering teams.
  • Stay ahead of emerging ML trends, contributing to knowledge sharing through tech talks, brown bags, and best practice evangelism.
Leadership
  • Act as technical and project leader of a small team of specialists
  • Provide leadership on complex technical issues,
  • Set standards for technical excellence - from coding to architectural best practices.
  • Work cross-functionally with engineering and product leadership to plan and manage delivery expectations of roadmap items.
  • Actively monitor progress and intervene where required to mitigate risks and bottlenecks, managing expectations within and outside the team.
  • PhD or equivalent experience in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval, and experience leading PhD level scientists/engineers on projects.
  • 10+ years of industry experience building production-grade ML systems.

+ Deep expertise in at least two of the following:

  • ML for Ads, E-commerce, or Two‑Sided Marketplaces
  • Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks
  • Bayesian Modelling & Probabilistic Methods
  • Reinforcement Learning (Contextual Bandits, Policy Optimization)
  • Price & Revenue Optimisation
  • Representation Learning & Embeddings
  • Model Optimisation (quantisation, distributed training, GPU optimisation, JIT compilation, mixed precision, inference optimisation)
  • Knowledge Distillation
Hybrid work structure:

Rokt has a 4 day in‑office, 1 day remote hybrid structure - with a flexible approach to start/finish times.

  • Equity in a profitable, fast‑growing company approaching $1 Billion in revenue.
  • Dollar‑for‑dollar 401K matching plan (up to 4% of fixed annual remuneration)
  • Fully funded health insurance (Dental, Optical, and Medical)
  • Generous allowances for wellness, technology, mobile, and transit.
  • Daily catered lunch, stocked pantry & fridges
  • Extra leave (bonus annual leave, sabbatical leave etc.)

Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note: The first stage of Rokt's recruitment process is a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted on next steps.

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