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Founding Machine Learning Engineer Jobs in Austin, TX

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 ...

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

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

Senior / Staff Machine Learning Engineer

Austin, TX ยท On-site

$124K - $171K/yr

Senior / Staff Machine Learning Engineer Austin, TX About the Team Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent ...

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

Senior Machine Learning Engineer

Austin, TX ยท On-site

$103K - $142K/yr

Senior Machine Learning Engineer We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure ...

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 ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$103K - $142K/yr

Senior Machine Learning Engineer We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure ...

Machine Learning Engineer PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized ...

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$220K - $250K/yr

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$220K - $250K/yr

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data ...

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Founding Machine Learning Engineer information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

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

As of Jun 23, 2026, the average yearly pay for founding machine learning engineer in Austin, TX is $127,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.

What is a Founding Machine Learning Engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

What are some unique challenges and expectations for a Founding Machine Learning Engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

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

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
What cities near Austin, TX are hiring for Founding Machine Learning Engineer jobs? Cities near Austin, TX with the most Founding Machine Learning Engineer job openings:
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Bumble Inc.

Austin, TX โ€ข On-site

Full-time

Posted 5 days 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:
โ€ข Own and drive large-scale, end-to-end ML systems powering recommendations, ranking, and personalization, influencing product and technical direction
โ€ข Design and architect scalable ML platforms and pipelines, integrating data processing, training, evaluation, and deployment (e.g. Spark, Airflow)
โ€ข Build and optimise advanced models using modern ML frameworks (e.g. PyTorch), ensuring performance, scalability, and reliability in production
โ€ข Lead the development of LLM-powered systems and AI agents, including prompt design, fine-tuning, and system integration
โ€ข Establish best practices for experimentation, including robust A/B testing and evaluation methodologies
โ€ข Collaborate cross-functionally at depth, partnering with Product, Engineering, and Data to shape strategy and deliver impactful ML solutions
โ€ข Mentor and elevate engineers across the team, fostering a culture of Respect, ownership, and technical excellence
โ€ข Take ownership of highly ambiguous problem spaces, seeing initiatives through from insight to impact while adapting with an agile mindset
Qualifications:
Required:
โ€ข Typically requires 8-12 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
โ€ข Deep expertise in machine learning, with significant experience building and scaling production-grade systems
โ€ข Strong proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow), with experience in recommendation systems, ranking, or NLP
โ€ข Expertise in designing scalable ML and data pipelines using distributed systems (e.g. Spark, Airflow or similar)
โ€ข Experience working with LLMs and building production-ready AI-driven features or systems
โ€ข Demonstrated ability to operate as a senior individual contributor, influencing technical decisions and elevating team capabilities
โ€ข Strong cross-functional collaboration skills, working with purpose and taking ownership of outcomes across teams
โ€ข 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.