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Staff Machine Learning Engineer Jobs in Austin, TX

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

Bumble Inc. is dedicated to creating healthy and equitable relationships through their products, and they are seeking a Staff Machine Learning Engineer to lead the development of advanced machine ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX

$300K - $345K/yr

As a Staff Machine Learning Engineer, you'll operate as a highly autonomous technical leader, owning large, complex problem spaces and driving end-to-end machine learning systems that influence ...

Striveworks

Staff Machine Learning Engineer

Austin, TX · On-site +1

The Role As a Staff Machine Learning Engineer at Striveworks, you will be challenged-and trusted-on day one to be both a core contributor and a customer-facing technical leader on the projects and ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

$300K - $345K/yr

As a Staff Machine Learning Engineer, you'll operate as a highly autonomous technical leader, owning large, complex problem spaces and driving end-to-end machine learning systems that influence ...

ForeFlight

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-specialized automatic speech recognition (ASR) systems for aviation and operational audio workflows.

PayPal

Staff Machine Learning Engineer

Austin, TX · On-site

$178K - $265K/yr

... machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

They are seeking experienced Machine Learning Engineers to drive the development and deployment of ... At Staff and Principal levels, you will set the technical vision for entire model families and ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

Apple

Machine Learning Engineer

Austin, TX · On-site

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

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All JobsStaff Machine Learning Engineer JobsStaff Machine Learning Engineer Jobs in Austin, TX

Staff Machine Learning Engineer information

See Austin, TX salary details

$22.8K

$98.5K

$190.8K

How much do staff machine learning engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for staff machine learning engineer in Austin, TX is $98,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $123,900.00 per year, depending on experience, location, and employer.

What does a staff ML engineer do?

A staff machine learning engineer leads the design, development, and deployment of complex machine learning models and systems. They often mentor team members, collaborate with cross-functional teams, and ensure scalable, efficient solutions using tools like Python, TensorFlow, or PyTorch. This role typically requires advanced knowledge of algorithms, data structures, and production environment considerations.

What are the typical collaboration and leadership responsibilities for a Staff Machine Learning Engineer?

As a Staff Machine Learning Engineer, you often serve as a technical leader, partnering with cross-functional teams including data scientists, product managers, and software engineers to develop and deploy machine learning solutions. You will mentor junior engineers, conduct code reviews, and help establish best practices for model development and deployment. In addition to hands-on technical work, you may be responsible for evaluating new tools, contributing to the broader ML strategy, and facilitating knowledge sharing sessions. This collaborative and leadership-focused approach helps ensure consistency, quality, and innovation across machine learning projects.

What engineer makes $500,000 a year?

Senior staff machine learning engineers at large tech companies or specialized AI firms can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in deep learning, data engineering, and experience with cloud platforms, along with a strong track record of impactful projects.

Will MLE be replaced by AI?

Staff Machine Learning Engineers design, develop, and deploy AI models, and their role involves understanding complex algorithms and data systems. While AI automation can handle certain tasks, MLEs are essential for creating, tuning, and maintaining AI systems, making complete replacement unlikely in the near term. Continuous learning and expertise in tools like Python, TensorFlow, or PyTorch are important for the role.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and software engineering. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities, with compensation reflecting the seniority and impact of the role.

What are the key skills and qualifications needed to thrive in the Staff Machine Learning Engineer position, and why are they important?

To thrive as a Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, data analysis, and typically a strong academic background in computer science or related fields. Experience with Python, TensorFlow, PyTorch, cloud platforms, and a track record of delivering production-level ML systems are crucial, as are advanced degrees or relevant certifications. Strong leadership, communication, and mentoring skills help you effectively guide teams and collaborate across departments. These competencies are essential for designing robust ML solutions, leading technical initiatives, and ensuring successful project delivery in complex organizational environments.

What is a Staff Machine Learning Engineer job?

A Staff Machine Learning Engineer is a senior-level technical role responsible for designing, deploying, and optimizing machine learning models at scale. They provide technical leadership, mentor other engineers, and drive best practices in ML system architecture. This role often involves collaborating with cross-functional teams, improving model performance, and ensuring the reliability of machine learning solutions in production. Staff ML Engineers typically have deep expertise in algorithms, data infrastructure, and engineering processes. Their work focuses on solving complex problems and influencing the broader ML strategy within an organization.

What are popular job titles related to Staff Machine Learning Engineer jobs in Austin, TX? For Staff Machine Learning Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Staff Machine Learning Engineer jobs in Austin, TX look for? The top searched job categories for Staff Machine Learning Engineer jobs in Austin, TX are:
Staff Machine Learning Engineer jobs near you
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Bumble Inc.

Austin, TX • On-site

Full-time

Re-posted 3 hours ago

Job description

Job Summary:
Bumble Inc. is dedicated to creating healthy and equitable relationships through their products, and they are seeking a Staff Machine Learning Engineer to lead the development of advanced machine learning systems. In this role, you will be responsible for designing scalable ML platforms, driving end-to-end ML systems, and mentoring team members to elevate technical standards.
Responsibilities:
• Own and drive large-scale, end-to-end ML systems powering recommendations, ranking, and personalization, influencing product and technical direction
• Design and architect scalable ML platforms and pipelines, integrating data processing, training, evaluation, and deployment (e.g. Spark, Airflow)
• Build and optimise advanced models using modern ML frameworks (e.g. PyTorch), ensuring performance, scalability, and reliability in production
• Lead the development of LLM-powered systems and AI agents, including prompt design, fine-tuning, and system integration
• Establish best practices for experimentation, including robust A/B testing and evaluation methodologies
• Collaborate cross-functionally at depth, partnering with Product, Engineering, and Data to shape strategy and deliver impactful ML solutions
• Mentor and elevate engineers across the team, fostering a culture of Respect, ownership, and technical excellence
• Take ownership of highly ambiguous problem spaces, seeing initiatives through from insight to impact while adapting with an agile mindset
Qualifications:
Required:
• Typically requires 8-12 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
• Deep expertise in machine learning, with significant experience building and scaling production-grade systems
• Strong proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow), with experience in recommendation systems, ranking, or NLP
• Expertise in designing scalable ML and data pipelines using distributed systems (e.g. Spark, Airflow or similar)
• Experience working with LLMs and building production-ready AI-driven features or systems
• Demonstrated ability to operate as a senior individual contributor, influencing technical decisions and elevating team capabilities
• Strong cross-functional collaboration skills, working with purpose and taking ownership of outcomes across teams
• Advanced AI fluency, with the ability to design, evaluate, and optimise ML systems and guide others in responsible AI practices
Company:
Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. Founded in 2014, the company is headquartered in Austin, Texas, US, , with a team of 501-1000 employees. The company is currently Late Stage.

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