Machine Learning Engineer
Austin, TX · On-site
Medical
... AI solutions, while collaborating with cross-functional teams to advance machine learning ... manager RESPONSIBILITIES • Design and implement machine learning algorithms and models for ...
Machine Learning Engineer
Austin, TX · On-site
Medical
... AI solutions, while collaborating with cross-functional teams to advance machine learning ... manager RESPONSIBILITIES • Design and implement machine learning algorithms and models for ...
Senior Machine Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector ... Preferred : • Experience with edge AI, federated learning, or offline inference systems. • ...
Senior Machine Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector ... Preferred : • Experience with edge AI, federated learning, or offline inference systems. • ...
Senior Machine Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector ... Preferred : • Experience with edge AI, federated learning, or offline inference systems. • ...
Senior Machine Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector ... Preferred : • Experience with edge AI, federated learning, or offline inference systems. • ...
Director of Applied AI
Austin, TX · On-site
... and managing multiple high-impact projects simultaneously. • Ability to communicate complex ... Machine Learning, AI, or Applied Mathematics. • Background in distributed systems, edge computing ...
Director of Applied AI
Austin, TX · On-site
... and managing multiple high-impact projects simultaneously. • Ability to communicate complex ... Machine Learning, AI, or Applied Mathematics. • Background in distributed systems, edge computing ...
Senior Machine Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
They are seeking a Senior Machine Learning Engineer to transform prototype models into scalable ... Preferred : • Experience with edge AI, federated learning, or offline inference systems. • ...
Senior Machine Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
They are seeking a Senior Machine Learning Engineer to transform prototype models into scalable ... Preferred : • Experience with edge AI, federated learning, or offline inference systems. • ...
Edge AI Systems Engineer with Security Clearance
Austin, TX · On-site
Medical
Dental
Vision
Life
Retirement
We are seeking an Edge AI Systems Engineer to support our Public Sector initiatives focused on ... This role sits at the intersection of real-world tactical hardware, machine learning, signals ...
Edge AI Systems Engineer with Security Clearance
Austin, TX · On-site
Medical
Dental
Vision
Life
Retirement
We are seeking an Edge AI Systems Engineer to support our Public Sector initiatives focused on ... This role sits at the intersection of real-world tactical hardware, machine learning, signals ...
ML / NLP DATA SCIENTIST (Relocation Huntsville, Alabama) with Security Clearance
Austin, TX · On-site
Medical
Dental
Vision
Life
Retirement
PTO
... edge AI and machine learning solutions that directly support national security initiatives, advanced operational analytics, and mission-critical decision-making in a highly secure environment. Your ...
ML / NLP DATA SCIENTIST (Relocation Huntsville, Alabama) with Security Clearance
Austin, TX · On-site
Medical
Dental
Vision
Life
Retirement
PTO
... edge AI and machine learning solutions that directly support national security initiatives, advanced operational analytics, and mission-critical decision-making in a highly secure environment. Your ...
Senior Machine Learning Engineer
Austin, TX · On-site
$121K - $160K/yr
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Help build a first-class machine learning platform from the ground up which manages the entire ...
Senior Machine Learning Engineer
Austin, TX · On-site
$121K - $160K/yr
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Help build a first-class machine learning platform from the ground up which manages the entire ...
... scientists, and product managers to advance generative AI, recommendations, and catalog ... Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
... scientists, and product managers to advance generative AI, recommendations, and catalog ... Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
Senior Manager, Machine Learning
Austin, TX · On-site
Medical
Dental
Vision
Retirement
The Sr. Manager, Machine Learning is chartered with comprehending and modeling the various paths to ... You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate ...
Senior Manager, Machine Learning
Austin, TX · On-site
Medical
Dental
Vision
Retirement
The Sr. Manager, Machine Learning is chartered with comprehending and modeling the various paths to ... You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate ...
Senior Manager, Machine Learning
Austin, TX · On-site
$120 - $160/hr
Medical
Dental
Vision
Retirement
You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate ... edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your ...
Senior Manager, Machine Learning
Austin, TX · On-site
$120 - $160/hr
Medical
Dental
Vision
Retirement
You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate ... edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your ...
... cutting-edge Generative and Agentic AI to transform how we process transactional data at scale. Minimum Qualifications 2+ years of experience building machine learning solutions using supervised ...
... cutting-edge Generative and Agentic AI to transform how we process transactional data at scale. Minimum Qualifications 2+ years of experience building machine learning solutions using supervised ...
... cutting-edge Generative and Agentic AI to transform how we process transactional data at scale. Minimum Qualifications 2+ years of experience building machine learning solutions using supervised ...
... cutting-edge Generative and Agentic AI to transform how we process transactional data at scale. Minimum Qualifications 2+ years of experience building machine learning solutions using supervised ...
AI/ML Scientist
Austin, TX · On-site
Responsibilities : • Conduct cutting-edge research in Generative AI (GAI) and Large Language ... D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical ...
AI/ML Scientist
Austin, TX · On-site
Responsibilities : • Conduct cutting-edge research in Generative AI (GAI) and Large Language ... D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Machine Learning Engineer, Wallet Intelligence and Machine Learning
Austin, TX · On-site
$140 - $230/hr
... AI Are you motivated to protect users and their accounts while delivering the best possible ... Partner across software engineering, security, program management, and business teams to define ...
Machine Learning Engineer, Wallet Intelligence and Machine Learning
Austin, TX · On-site
$140 - $230/hr
... AI Are you motivated to protect users and their accounts while delivering the best possible ... Partner across software engineering, security, program management, and business teams to define ...
Senior Machine Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Medical
Dental
Vision
Retirement
We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused ... Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
Senior Machine Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Medical
Dental
Vision
Retirement
We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused ... Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
Senior Machine Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Medical
Dental
Vision
Retirement
We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused ... Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
Senior Machine Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Medical
Dental
Vision
Retirement
We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused ... Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
Staff Machine Learning Engineer
Austin, TX · On-site
Medical
Dental
Vision
Retirement
Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs. * Stay abreast of the latest advancements in AI and ML, and apply this knowledge ...
Staff Machine Learning Engineer
Austin, TX · On-site
Medical
Dental
Vision
Retirement
Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs. * Stay abreast of the latest advancements in AI and ML, and apply this knowledge ...
Machine Learning Engineer, Wallet Intelligence and Machine Learning
$150K - $277K/yr
Medical
Dental
Retirement
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... Partner across software engineering, security, program management, and business teams to define ...
Machine Learning Engineer, Wallet Intelligence and Machine Learning
$150K - $277K/yr
Medical
Dental
Retirement
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... Partner across software engineering, security, program management, and business teams to define ...
Manager Edge Ai Machine Learning information
See Georgetown, TX salary details
$28.8K - $37.2K
5% of jobs
$37.2K - $45.5K
10% of jobs
$45.5K - $53.9K
7% of jobs
$55.1K is the 25th percentile. Wages below this are outliers.
$53.9K - $62.3K
15% of jobs
The median wage is $68.5K / yr.
$62.3K - $70.6K
17% of jobs
$70.6K - $79K
19% of jobs
$80.2K is the 75th percentile. Wages above this are outliers.
$79K - $87.3K
15% of jobs
$87.3K - $95.7K
7% of jobs
$95.7K - $104.1K
2% of jobs
$104.1K - $112.4K
1% of jobs
$112.4K - $120.8K
2% of jobs
$28.8K
$71.9K
$120.8K
How much do manager edge ai machine learning jobs pay per year?
As of Aug 17, 2026, the average yearly pay for manager edge ai machine learning in Georgetown, TX is $71,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $81,300.00 per year, depending on experience, location, and employer.
What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?
| Aspect | Manager Edge Ai Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/ML | Bachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders in AI/ML applications | Analyzes data, develops models, and provides insights, often working independently or in teams |
| Employer & Industry Usage | Tech companies, AI startups, enterprises implementing AI solutions | Research institutions, tech firms, finance, healthcare, and other data-driven industries |
While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.
What cities near Georgetown, TX are hiring for Manager Edge Ai Machine Learning jobs?
Cities near Georgetown, TX with the most Manager Edge Ai Machine Learning job openings:
Full-time
Medical
Re-posted 27 days ago
Job description
As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
SUMMARY
The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.
Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager
RESPONSIBILITIES
• Design and implement machine learning algorithms and models for various business applications
• Conduct 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 meaningful insights and support data-driven decisions
• Develop scalable machine learning pipelines and systems
• Maintain up-to-date knowledge of emerging AI and machine learning trends
• Ensure the quality and performance of AI systems through testing and validation
EXPERIENCE AND KNOWLEDGE
• Bachelor's degree in related field and 5-8 years relevant experience
• Proven experience in ML model development and deployment
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies
• Proficiency in programming languages such as Python, R, or Java
• Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)
• Familiarity with cloud platforms and scalable computing resources
• Strong analytical, problem-solving, and collaboration skills
This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Health & Wellness
Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
SUMMARY
The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.
Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager
RESPONSIBILITIES
• Design and implement machine learning algorithms and models for various business applications
• Conduct 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 meaningful insights and support data-driven decisions
• Develop scalable machine learning pipelines and systems
• Maintain up-to-date knowledge of emerging AI and machine learning trends
• Ensure the quality and performance of AI systems through testing and validation
EXPERIENCE AND KNOWLEDGE
• Bachelor's degree in related field and 5-8 years relevant experience
• Proven experience in ML model development and deployment
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies
• Proficiency in programming languages such as Python, R, or Java
• Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)
• Familiarity with cloud platforms and scalable computing resources
• Strong analytical, problem-solving, and collaboration skills
This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Health & Wellness
- Hybrid Work Opportunities
- Flexible Time Off
- Career Development & Mentoring Programs
- Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
- Community Volunteering & Company Philanthropy Programs
- Employee Peer Recognition Programs - "You Earned it"
Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements