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Staff Software Engineer Machine Learning Jobs in Frisco, TX

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... software automation capability integrations Build and operationalize Retrieval Augmented Generation (RAG) frameworks Enhance, develop, and deploy production-level machine learning models and ...

Staff Software Engineer LOCATION: Coppell, TX (hybrid role, may work from home) DUTIES: Design, implement, and test high-quality software solutions; leverage modern technologies such as Java and ...

Explore opportunities to incorporate AI and machine learning capabilities into software solutions under the guidance of senior engineers and architects. * Continuously develop technical knowledge and ...

Sr. Machine Learning Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

Design, develop, and deploy high-quality, scalable, and maintainable software systems leveraging AI ... Machine Learning Engineer, or a related/similar position. Experience therein to include the ...

Showing results 21-40

Staff Software Engineer Machine Learning information

See Frisco, TX salary details

$56.6K

$150.8K

$205.9K

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

As of Aug 8, 2026, the average yearly pay for staff software engineer machine learning in Frisco, TX is $150,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,900.00 and $178,300.00 per year, depending on experience, location, and employer.
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Senior Lead Software Engineer - Data / Machine Learning Operations

JPMorganChase

Plano, TX • On-site

Full-time

Re-posted yesterday


Job description

Job Summary:
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions. As a Senior Lead Software Engineer, you will be part of an agile team that enhances and delivers technology products, focusing on building and deploying cloud-based solutions and driving significant business impact through your technical expertise.
Responsibilities:
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Design and develop large-scale solutions or platforms using Cloud services (i.e. AWS) in alignment with the firm wide strategies and security controls
• Deploy and enable cloud based solutions at firm level, supporting complex analytics and day to day business operations
• Migrate legacy an big data applications at Cloud native applications with zero downtime
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Develop solutions or tools to monitor, provision components for automation or the processes, services, and reports
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Leverage your strong operational skills to develop impactful recommendations on upstream product, processes, or policy improvements that will optimize the user experience
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect
Qualifications:
Required:
• Formal training and certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Good knowledge of Machine Learning modelling as an engineer
• Advanced in one or more programming language(s) and framework(s) (i.e., Python, Java, Big Data, Data pipeline, Machine Learning, etc.)
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Working experience in software development, OOPS and SDLC
• Ability to tackle design and functionality problems independently with little to no oversight
• Knowledge of the financial services industry and their TI systems
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred:
• AWS certifications (e.g. Solutions Architect Associate)
• Knowledge of RAG architectures and exposure to AI/Automation technologies that improve operations
• Experience with building Data Pipelines in Spark, Tuning Spark queries
• Understands Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.)
• Working knowledge with Big Data platforms (i.e., Hadoop preferred)
• Experience in Cloud Technologies (i.e., AWS - Databricks preferred)
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.