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Senior Staff Machine Learning Engineer Jobs in Springfield, TN

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

We are seeking a Senior Platform Software Engineer to design, build, and operate scalable services ... Apply machine learning and LLM capabilities to service telemetry, API changes, incidents, test ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

We are seeking a Senior Platform Software Engineer to design, build, and operate scalable services ... Apply machine learning and LLM capabilities to service telemetry, API changes, incidents, test ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

We are seeking a Senior Platform Software Engineer to design, build, and operate scalable services ... Apply machine learning and LLM capabilities to service telemetry, API changes, incidents, test ...

Senior Staff Architect

Nashville, TN · On-site

$95K - $121K/yr

Apply sound architectural/engineering principles and be able to communicate complex issues and ... Work closely with senior-level project manager to gain project management and architectural ...

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

... leadership to senior engineers, product managers, data scientists, and OCI service teams ... Guide the application of machine learning and LLM capabilities to service telemetry, API changes ...

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

... leadership to senior engineers, product managers, data scientists, and OCI service teams ... Guide the application of machine learning and LLM capabilities to service telemetry, API changes ...

AI Solutions Engineering Delivery Lead

Nashville, TN · On-site

$99K - $130K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a senior technical leader, you will leverage deep technical specialization, strategic vision ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Lead Forward Deployed Engineer - AWS

Nashville, TN · On-site

$99K - $130K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Senior Data Scientist

Nashville, TN · On-site

$100K - $209K/yr

The Senior Data Scientist will be responsible for statistical analyses, ML/ large language model ... machine-learning models, including model selection, feature engineering, performance evaluation ...

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Become a part of our caring community The Senior Data Engineer builds and evolves the data ... Familiarity with machine learning, recommendation systems, reinforcement learning, or decision ...

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Become a part of our caring community The Senior Data Engineer builds and evolves the data ... Familiarity with machine learning, recommendation systems, reinforcement learning, or decision ...

Showing results 21-40

Senior Staff Machine Learning Engineer information

See Springfield, TN salary details

$56.2K

$119.5K

$173.3K

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

As of Sep 6, 2026, the average yearly pay for senior staff machine learning engineer in Springfield, TN is $119,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $135,500.00 per year, depending on experience, location, and employer.

What does a senior staff machine learning engineer do?

A Senior Staff Machine Learning Engineer leads the design, development, and deployment of complex machine learning systems within an organization. They work closely with cross-functional teams to identify business challenges that can be addressed with machine learning and guide the technical strategy for implementing solutions. Their responsibilities often include mentoring junior engineers, setting best practices, overseeing large-scale projects, and ensuring models are robust, scalable, and ethically implemented. Additionally, they may contribute to research and development, staying up-to-date with the latest advancements in the field.

What are the primary challenges a senior staff machine learning engineer faces when leading large-scale ML projects?

Senior Staff Machine Learning Engineers often navigate complex challenges such as aligning cross-functional teams, ensuring model scalability, and maintaining data integrity across evolving pipelines. They are responsible for setting technical direction, mentoring junior engineers, and driving collaboration between data scientists, software engineers, and product managers. Balancing hands-on technical work with high-level architectural decisions, while also keeping up with rapid advancements in the field, is key to success in this role.

What are the key skills and qualifications needed to thrive as a senior staff machine learning engineer, and why are they important?

To thrive as a Senior Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, software engineering, and a relevant advanced degree (often MS or PhD). Mastery of tools such as Python, TensorFlow, PyTorch, distributed computing frameworks, and experience with cloud platforms is typically required. Strong leadership, communication, and project management skills distinguish top performers in this role. These abilities are crucial for designing scalable ML solutions, leading teams, and driving impactful business outcomes.

What is the difference between Senior Staff Machine Learning Engineer vs Machine Learning Engineer?

AspectSenior Staff Machine Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's/PhD in CS, AI, or related; experience in ML frameworksBachelor's/Master's in CS, AI, or related; some experience in ML
Work EnvironmentLeadership roles, cross-team collaboration, strategic planningImplementation, model development, experimentation
Industry UsageTech companies, research labs, large enterprisesStartups, tech firms, research projects

The Senior Staff Machine Learning Engineer typically holds a more senior, strategic role with leadership responsibilities, while the Machine Learning Engineer focuses on developing and deploying ML models. Both roles require strong technical skills, but the senior position involves guiding projects and mentoring teams.

What are popular job titles related to Senior Staff Machine Learning Engineer jobs in Springfield, TN?

For Senior Staff Machine Learning Engineer jobs in Springfield, TN, the most frequently searched job titles are:

What cities near Springfield, TN are hiring for Senior Staff Machine Learning Engineer jobs?

Cities near Springfield, TN with the most Senior Staff Machine Learning Engineer job openings:

Senior Platform Software Engineer

Oracle

Nashville, TN • On-site

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Oracle rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

57th of 247 rated software companies


Job description


Oracle Cloud Infrastructure's (OCI) Developer Platform Tools and Services organization builds the next generation of developer productivity platforms, intelligent development workflows, and AI-powered engineering tools and platforms that accelerate software delivery across the enterprise.
We are seeking a Senior Platform Software Engineer to design, build, and operate scalable services that improve the developer experience and increase engineering productivity. You will work across platform engineering, distributed systems, cloud-native technologies, machine learning, large language models (LLMs), and developer tooling.
A key focus of this role is building a new AI-native testing platform that learns real-world service behavior, generates realistic test traffic, safely validates workloads, and detects regressions with minimal manual test authoring. Its closed-loop workflow observes changing traffic patterns, executes and evaluates tests, and continuously improves future coverage. You will help take this platform from early architecture through production deployment and enterprise-wide adoption, working with engineers, product managers, data scientists, and OCI service teams.
Responsibilities
Key Responsibilities
  • Design, build, deploy, and operate highly available platform services for developer productivity and AI-assisted engineering workflows.
  • Lead the architecture and delivery of scalable systems that analyze service behavior, model traffic patterns, generate realistic workloads, and evaluate results.
  • Develop agent-assisted workflows that plan, execute, and evaluate canary, functional, integration, load, and performance tests within defined safety controls.
  • Apply machine learning and LLM capabilities to service telemetry, API changes, incidents, test results, and engineering knowledge.
  • Build safe traffic-generation and workload-modeling systems that reflect production usage, service dependencies, and changing traffic patterns.
  • Develop evaluation and diagnostic capabilities for functional correctness, latency, error rates, reliability, scalability, and regression detection.
  • Provide actionable explanations of failures, including what changed, likely sources of impact, and how to reproduce an issue.
  • Automate the conversion of incidents, failed canaries, and detected regressions into reusable test coverage.
  • Design APIs, data pipelines, and integrations that make intelligent testing capabilities accessible across OCI engineering teams.
  • Establish strong practices for reliability, observability, security, privacy, performance, and responsible AI while mentoring engineers and influencing technical direction.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Four or more years of professional software engineering experience building and operating production systems.
  • Proficiency in one or more modern programming languages, such as Java, Go, Python, or C++.
  • Strong knowledge of system design, algorithms, data structures, concurrency, APIs, and scalable architectures.
  • Experience building backend services, distributed systems, microservices, event-driven applications, or large-scale data pipelines.
  • Experience developing and operating software in cloud environments using CI/CD, containerization, and cloud-native architectures.
  • Experience with service testing, reliability, observability, performance engineering, or production operations.
  • Ability to troubleshoot complex systems using logs, metrics, traces, telemetry, and production data.
  • Demonstrated ability to lead technical initiatives across teams, communicate architectural decisions clearly, and deliver high-quality production software.
Preferred Qualifications
  • Experience building developer platforms, CI/CD systems, testing frameworks, or engineering productivity tools.
  • Experience developing or integrating production solutions using machine learning, generative AI, or LLMs.
  • Familiarity with AI agents, tool-using models, retrieval-augmented generation, prompt engineering, or LLM evaluation techniques.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent technologies.
  • Experience with traffic replay, workload modeling, canary analysis, load testing, performance testing, or chaos engineering.
  • Hands-on experience with Kubernetes, containers, service meshes, and OCI or another major public cloud.
  • Experience analyzing API schemas, code changes, service dependencies, incidents, and production traffic.
  • Experience mentoring engineers and influencing architecture across teams.
Why Join Us
  • Shape a new AI-native developer platform from foundational architecture through production adoption.
  • Build systems that improve how thousands of engineers develop, test, and release software.
  • Solve complex, real-world problems spanning distributed systems, cloud infrastructure, machine learning, and generative AI.
  • Help engineering teams reduce manual testing, detect regressions earlier, diagnose failures faster, and release with greater confidence.
  • Work with experienced engineers, data scientists, product managers, and OCI service teams while expanding your technical influence and expertise.

Qualifications
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $92,500 to $209,500 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC3
About Us
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

What Oracle employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Oracle logo

About Oracle

Sourced by ZipRecruiter

An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That's why we're committed to creating a workforce where all individuals can do their best work. It's when everyone's voice is heard and valued that we're inspired to go beyond what's been done before.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Redwood City, CA, US

Year founded

1977

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