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Machine Learning Researcher Jobs in Austin, TX (NOW HIRING)

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97.60K - $124.40K/yr

Your Impact The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and ...

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97.60K - $124.40K/yr

Your Impact The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

Avride

Machine Learning Engineer

Austin, TX

Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

ExtendMyTeam

Machine Learning Engineer

Austin, TX

This is a hands-on engineering role focused on production systems, workflow automation, and AI implementation rather than purely research-oriented machine learning work. Responsibilities * Design and ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

... research and experimentation to advance machine learning capabilities • Collaborate with cross-functional teams to integrate AI solutions into production environments • Analyze large datasets to ...

Q2

Machine Learning Engineer

Austin, TX

... research and experimentation to advance machine learning capabilities Collaborate with cross-functional teams to integrate AI solutions into production environments Analyze large datasets to extract ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... that enable research teams to access the data they need. Working closely with engineering ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

Research and implement ML algorithms for a variety of business problems * Automate processes for ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...

Apple

ML Researcher, Autonomous Security

Austin, TX · On-site

The Information Security Machine Learning (ISML) team empowers information security by harnessing ... As an ML Researcher on Autonomous Security, you will be instrumental in advancing the ...

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All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Austin, TX

Machine Learning Researcher information

See Austin, TX salary details

$29.7K

$112.1K

$163.1K

How much do machine learning researcher jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning researcher in Austin, TX is $112,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $152,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.

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

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What are popular job titles related to Machine Learning Researcher jobs in Austin, TX? For Machine Learning Researcher jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Researcher jobs in Austin, TX look for? The top searched job categories for Machine Learning Researcher jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Researcher jobs? Cities near Austin, TX with the most Machine Learning Researcher job openings:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Austin, TX as of May 2026, with employment types broken down into 40% Full Time, 55% Part Time, and 5% Contract. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $112,108 per year, or $53.9 per hour.
Senior Machine Learning Scientist

Senior Machine Learning Scientist

DISCO

Austin, TX • On-site

$97.60K - $124.40K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Your Impact

The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and methodologies. They are a seasoned researcher with a track record of impactful contributions, strategic thinking, and effective collaboration. They play a pivotal role in shaping the direction of our machine learning research efforts.

What You'll Do
  • Research Leadership and Innovation: Leads and contributes to impactful machine learning research projects. Drives innovation in the development of advanced algorithms and methodologies. Provides technical leadership and mentorship to junior and mid-level researchers. 
  • Operational Excellence and Program Management: Optimizes research processes, workflows, and resource allocation.Manages research programs, overseeing multiple projects and teams. Ensures the successful execution of complex research initiatives. 
  • Collaboration and Industry Impact: Collaborates effectively with cross-functional teams and external partners. Engages with industry stakeholders to address real-world challenges. Contributes machine learning expertise to drive industry impact. 
  • Strategic Planning and Contribution to Research Community: Contributes to the strategic planning of the organization's research initiatives. Actively participates in the broader research community, including conference involvement. Fosters global collaborations and partnerships to enhance research outcomes.
  • Mentorship and Team Development: Mentors and provides guidance to junior and mid-level researchers. Actively contributes to the professional development of research teams. Fosters a collaborative and innovative team culture.
Who You Are
  • 6 to 8+ years of relevant experience in machine learning research. 
  • Master's, PhD or equivalent research experience in the areas of Computer Science, Machine Learning, Statistics or a related discipline
  • Proven track record of impactful research projects and leadership.
  • Proven experience in leading or significantly contributing to complex and large-scale research projects.
  • Demonstrated ability to oversee project timelines, manage resources effectively, and ensure successful research outcomes.
  • Expertise in strategic planning and execution of an organization's overarching machine learning research agenda.
  • Contribution to the development and implementation of long-term research strategies.
  • Extensive experience in mentoring and providing guidance to junior and mid-level researchers.
  • Leadership in managing and leading research teams, fostering a culture of knowledge-sharing and innovation.
  • Continued innovation in the development of novel algorithms, methodologies, or applications. 
  • Track record of contributing groundbreaking ideas to the field of machine learning. 
  • Substantial experience in applying machine learning research to real-world industry problems. 
  • A deep understanding of the practical implications and challenges of deploying machine learning models in real-world scenarios.
Even Better If You Have...
  • Experience in operational leadership, optimizing research processes.
  • Exposure to program management at a project or team level.

Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.

Perks of DISCO 
  • Open, inclusive, and fun environment
  • Benefits, including medical, dental and vision insurance, as well as 401(k) 
  • Competitive salary plus RSUs
  • Flexible PTO 
  • Opportunity to be a part of a company that is revolutionizing the legal industry
  • Growth opportunities throughout the company

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