Top 13 lead machine learning engineer Jobs in austin tx

Lead Machine Learning Engineer
Bumble Inc. —Austin, TX
- $255,000 - $280,000 a year
- Call employer
- Hybrid work
- 7 years
- Continuous improvement
- Mentoring
- Paid parental leave
- Disability insurance
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Lead Data Engineer
University of Texas at Austin —Austin, TX
- $125,000 - $143,712 a year
- Weekends as needed
- Remote
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
Lead, AI Engineering
Bain & Co. —Austin, TX
- $179,500 - $203,500 a year
- Full-time
- Azure
- Office
- 3 years
- Wellness program
- Paid holidays
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Lead AI and Data Science Engineer - Manager
Deloitte —Austin, TX
- $141,200 - $278,300 a year
- Full-time
- Azure
- Computer Science
- 5 years
7d
Lead Cybersecurity Automation Engineer
Synopsys —Austin, TX
- $161,000 - $242,000 a year
- Azure
- System design
- Databases
Data Center GPU Performance Attainment Lead
Advanced Micro Devices, Inc —Austin, TX
- Hybrid work
- Computer Science
- Master's degree
- Analysis skills
4d
Lead Product Manager, Quoting & Distribution
Hippo Insurance —Austin, TX
- $150,000 - $225,000 a year
- Hybrid work
- 7 years
- Analysis skills
- Product management
- Disability insurance
- Health insurance
5d
Senior Delivery Lead - Agentic AI
Eclerx —Austin, TX
- Up to $220,000 a year
- Full-time
- Azure
- System design
- 11+ years
Lead Full Stack Engineer
Deloitte —Austin, TX
- $105,600 - $210,000 a year
- Full-time
- Computer Science
- 5 years
- Java
5d
Lead AI Architect, Salesforce Service Cloud & AWS
Natera —Austin, TX
- $152,800 - $191,000 a year
- 8 years
- Senior level
- Python
- Commuter assistance
- Disability insurance
Lead ML Inference Engineer, Advertising
Roku —Austin, TX
- Email
- Hybrid work
- Computer Science
- System design
- Office
- Disability insurance
- Health insurance
Lead Business Transformation Architect
Deloitte —Austin, TX
- $134,500 - $265,100 a year
- Full-time
- Azure
- Up to 50% travel
- Mid-level
1h
Lead Product Manager, Seller Leads
Realtor.com Careers —Austin, TX
- Office
- Product management
- Senior level
- Paid holidays
- Health insurance
Quick Apply

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Lead Machine Learning Engineer

Bumble Inc. -
Austin, TX

Quick Apply

Job Details

$255,000 - $280,000 a year

Benefits

Paid parental leave
Disability insurance
Health insurance
Unlimited paid time off
Dental insurance
401(k) 4% Match
Adoption assistance
Parental leave
Vision insurance
401(k) matching

Qualifications

AI models
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Prompt engineering
Production systems
Machine intelligence
Model deployment
Developing large-scale AI models
Scalability
Machine learning libraries
Machine learning frameworks
Cross-functional communication

Full Job Description

Introduction to the role & team
Bumble exists to create a world where all relationships are healthy and equitable, and our Machine Learning team plays a vital role in shaping how millions of people connect, build trust, and find belonging. In this role, you’ll operate at the intersection of product innovation and technical excellence, delivering intelligent systems that elevate both user experience and safety.

As a Lead Machine Learning Engineer, you’ll take ownership of complex, ambiguous problem spaces and drive end-to-end machine learning solutions that span modelling, systems, and product integration. You’ll champion our values of Courage and Excellence by making thoughtful technical decisions, challenging assumptions, and pushing for better outcomes.

AI is foundational to our future. You’ll not only build high-impact ML systems, but also embed best practices in how AI is applied across the team, helping others adopt scalable, responsible, and effective approaches.

What You'll do

Lead the design and delivery of end-to-end ML systems powering recommendations, ranking, and personalization, driving measurable improvements in user outcomes
Architect and optimise ML pipelines, integrating data processing, model training, evaluation, and deployment into scalable systems (e.g. Spark, Airflow)
Build and deploy advanced models using modern frameworks (e.g. PyTorch), ensuring robustness in high-scale production environments
Develop and apply LLM-based capabilities, including prompt design and fine-tuning approaches for production use cases
Drive experimentation strategy, including A/B testing and offline evaluation, to continuously improve performance and inform product decisions
Partner cross-functionally with Product, Engineering, and Data teams, collaborating with purpose to translate business challenges into ML solutions
Mentor and support other engineers, fostering a culture of Curiosity, ownership, and continuous improvement

About You

Typically requires 7–10 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
Strong expertise in machine learning, with a track record of delivering end-to-end systems in production
Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking, or NLP
Experience designing and scaling ML pipelines and data systems (e.g. Spark, Airflow, or similar technologies)
Hands-on experience with LLMs, including prompting, evaluation, and production integration
Demonstrated ability to take ownership of ambiguous problems and deliver impactful outcomes
Strong collaboration skills, working cross-functionally and taking ownership of shared goals
Solid AI fluency, with the ability to guide best practices in model development and responsible AI usage within a team

For base compensation, we set standard ranges for all roles based on function, level, and geographic location. This position is also typically eligible to participate in our short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off Policy.

Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more.

26 Weeks Parental Leave: For both primary and secondary caregivers.

Family & Compassionate Leave: Inclusive of domestic violence recovery.

Unlimited Paid Time Off: Take the time you need.

Company-wide Week Off: Annual collective rest for the entire company.

Focus Fridays: No meetings, emails, or deadlines—just deep work.

About Us

Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products.

AI Fluency

AI is important to us. We’re excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes.

We encourage you to use AI responsibly as you prepare your application. Please don’t use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us.

Final Compensation

Will be determined based on factors such as the selected candidate’s qualifications, relevant experience, skill set, and other job-related considerations.

Benefits & Perks
Insurance: Medical/dental/vision, 30-day eligibility. Bumble has multiple competitive offerings that will be available to you on the first of the month following date of hire.
Unlimited PTO + 1 company-wide week off + Focus Fridays every week
Fully paid life and long-term disability insurance
401k with 4% company match if you contribute 6%, 90-day eligibility
Monthly wellness benefit and access to Noom, Unmind, and Your Money Line
Maternity and Fertility benefit + 26 week paid parental leave
Premium App Access

Inclusion at Bumble Inc.

Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.

In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).

AI in Bumble Inc. Hiring

At Bumble, we may use AI tools to support parts of our recruitment process — such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team’s efficiency and improve the candidate experience — not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you’d prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you’d like a transcription or summary deleted, please contact your recruiter directly.

For further information on how we hold and manage your data, please refer to our Privacy Policy.

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Refine Your Search

lead machine learning engineer jobs in austin tx

Lead Machine Learning Engineer

Lead Data Engineer

Lead, AI Engineering

Lead AI and Data Science Engineer - Manager

Lead Cybersecurity Automation Engineer

Data Center GPU Performance Attainment Lead

Lead Product Manager, Quoting & Distribution

Senior Delivery Lead - Agentic AI

Lead Full Stack Engineer

Lead AI Architect, Salesforce Service Cloud & AWS

Lead ML Inference Engineer, Advertising

Lead Business Transformation Architect

Lead Product Manager, Seller Leads

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