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Founding Machine Learning Engineer Jobs in Oklahoma

AI Engineer

Tulsa, OK · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Develop numerical optimization, forecasting, computer vision, machine learning, and anomaly ... Strong Python engineering skills, with familiarity in at least one of: optimization, forecasting ...

Posted today

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Post-Doctoral Fellow AF7770

Stillwater, OK · On-site

$46K - $62K/yr

Experience applying machine learning, system identification, reduced-order modeling, or advanced data-analysis methods to scientific or engineering problems. * Proficiency in scientific programming ...

What we're looking for * 4+ years of data engineering, graph, semantic modeling, or backend ... AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.

New

Showing results 41-60

Founding Machine Learning Engineer information

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.

Are founding machine learning engineers still in demand?

Founding machine learning engineers remain in high demand as companies seek to develop AI-driven products and services. They often require strong skills in deep learning, data modeling, and proficiency with tools like TensorFlow or PyTorch, with demand driven by growth in AI applications across industries.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $100,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses may also be part of the compensation package, especially in startup environments where they play a significant role in total earnings.

What are popular job titles related to Founding Machine Learning Engineer jobs in Oklahoma?

For Founding Machine Learning Engineer jobs in Oklahoma, the most frequently searched job titles are:

What cities in Oklahoma are hiring for Founding Machine Learning Engineer jobs?

Cities in Oklahoma with the most Founding Machine Learning Engineer job openings:

AI/ML SME with Security Clearance

CACI

Oklahoma City, OK • On-site

Other

Medical, Retirement, PTO

Re-posted 17 days ago


Job description

Job Title: AI/ML SME Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US * * * The Opportunity: CACI is seeking a skilled AI/ML Subject Matter Expert (SME) to support an enterprise User Experience Management (UXM) initiative focused on transforming IT telemetry into predictive operational intelligence. This role designs and implements machine learning models within the Data Integration Platform (DIP) to enable anomaly detection, root cause analysis, service health prediction, and automated decision support across Air Force digital environments. The SME will work closely with data engineers, analysts, platform architects, cybersecurity teams, and IT operators to operationalize AI-driven insights for proactive enterprise IT management. Responsibilities: * Design and deploy ML models for UXM use cases (anomaly detection, performance forecasting, experience scoring, root cause analysis)
* Develop feature engineering pipelines from logs, metrics, traces, and endpoint telemetry
* Integrate AI/ML capabilities into the Data Integration Platform (DIP) architecture and operational dashboards
* Build and validate MVP models supporting AoA outcomes and UXM operational readiness
* Implement MLOps pipelines (training, validation, deployment, monitoring)
* Collaborate with cybersecurity teams to ensure RMF-compliant model deployment
* Translate model outputs into actionable insights for IT operators and leadership
* Support dashboard specification, analytics requirements, and operational reporting
* DAF Client Collaboration: Proactively collaborate with the DAF to understand their software landscape, installation details, licensing requirements, and specific needs related to the assigned software publishers and products * Project Contribution: Actively participate in project meetings, providing updates on modeling progress, identifying potential challenges, and contributing to the overall success of the project Qualifications: Required: * Active Secret Clearance
* 15+ Years of relevant experience (Bachelor's Degree in applicable field may be substituted for 5 years of experience).
* Minimum 7 years' experience in data science, machine learning, or applied AI (with at least 3 years in operational or enterprise environments)
* Hands-on experience with:
* Python-based ML frameworks (TensorFlow, PyTorch, scikit-learn, or equivalent)
* Time-series analytics and anomaly detection
* ETL/ELT pipelines and enterprise data platforms
* SQL and large-scale datasets
* Experience deploying models into production environments
* Familiarity with observability, ITOM, or UXM telemetry sources
* Prioritization and Management: Ability to prioritize and manage collecting information and modeling multiple publishers and products, while adhering to deadlines and maintaining high-quality work Desired: * Prior DoD or federal IT program experience
* Experience with MLOps frameworks and CI/CD pipelines
* Knowledge of UXM, IT operations analytics, or digital experience monitoring
* Experience working in RMF-controlled environments
* Familiarity with Power BI, Tableau, or similar visualization tools
* Exposure to cloud or hybrid AI deployments
* Analytical and Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to identify and resolve complex issues * Communication and Interpersonal Skills: Excellent communication and interpersonal skills, with the ability to effectively interact with the DAF, internal teams, and external vendors Certifications (One or More Required): * CompTIA Security+ CE (DoD 8570/8140 compliant) Preferred Technical Certifications: * AWS Certified Machine Learning - Specialty
* Microsoft Azure AI Engineer Associate
* Google Professional Machine Learning Engineer
* Databricks Machine Learning Professional - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $94,600 - $208,000 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.