Machine Learning Engineer Remote Jobs in Oklahoma (US)

This page tracks remote machine learning engineer openings that are location-eligible for Oklahoma.

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2,536

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$80 - $211,000

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2536 Jobs

1360 Companies

Senior AI Marketing Engineer

Signature Media

AI Engineer1 day ago

Full Time Remote Senior

Role Description We are rebuilding what an agency account team looks like. The old model takes six people and three months to plan, write, design, build, and ship a client website. We are replacing that with one AI-native marketer using AI to ship the same work in days. You will be the first hire in this new role, owning the delivery and results for a portfolio of accounts and the qualified leads and booked jobs those clients pay us for. What You'll Do - Own account outcomes. The qualified leads and booked jobs for your accounts are yours, and so is the channel mix. - Build and ship websites and marketing collateral end-to-end with AI. - Drive organic, content, and SEO performance. - Partner with the paid team on paid performance. - Automate the repetitive tasks. - Aim every build at marketing results. - Equip the Senior Client Success Manager with what they need. Qualifications - 4+ years in performance marketing, lead generation, or growth marketing, ideally at a digital agency. - Demonstrated experience shipping production work with AI tools such as Claude, Claude Design, Vercel, n8n, or AI agents. - Balance of marketing judgment and technical orchestration skill, with a slight technical lean. - Lead-generation marketing experience in service-based industries. - A portfolio with real shipped work – websites, landing pages, automations, or agent systems. - Authorization to work in the United States. Requirements - Direct experience marketing for home services businesses (contractors, restoration, HVAC, plumbing, roofing, etc.). - Record of replacing legacy WordPress or multi-person agency workflows with AI-native builds. - Comfort with modern deployment stacks (Vercel, Netlify, or similar). - Working knowledge of analytics and lead tracking platforms (GA4, WhatConverts, CallRail, or similar). Benefits - Base salary: $95,000–$110,000 - Performance bonus tied to account outcomes, paid quarterly. - Annual compensation review with merit increase eligibility. - Medical, dental, and vision coverage. - 401(k) retirement plan. - Paid time off and company holidays. - Fully remote work with equipment provided. - Access to the AI tooling stack you need to do the job, including Claude. Interview Process - Application review — we respond within 2 business days. - Asynchronous video interview — a short set of recorded questions on your own time. - Phone screen — a brief call covering your background, the role, and logistics. - Final interview with our CEO and COO — 45-minute conversation on your background, portfolio, and fit. - Paid skills project — a short, paid project that mirrors real work, with a brief walkthrough of how you approached it. How to Apply Please send us: - Your resume - A portfolio link or attached samples. Best case: a website where you did the content, design, and development using AI tools. - A short note – a few sentences is fine – on how you use AI in your marketing work today and why this role fits. We look forward to seeing what you have built.

View details: Senior AI Marketing Engineer

United States

$95K - $110K / year

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Computer Vision Engineer

SumerSports

AI insights + over 600 years of NFL expertise.

Computer Vision Engineer1 day ago

Full Time Remote SeniorTeam 11-50Since 2022H1B No Sponsor

Company Site LinkedIn

• Build and train CV models for sports video: player/ball detection, multi-object tracking, pose/keypoints, event/action recognition, identity association (re-ID). • Own the experimentation loop: hypotheses → ablations → error analysis → measurable improvements. • Design and maintain evaluation: task-appropriate metrics (e.g., MOT metrics, keypoint accuracy, event precision/recall), dataset slices, and failure taxonomy. • Improve data efficiency: augmentations, sampling strategies, handling label noise, weak/self-supervision where helpful. • Prototype and iterate on modern architectures (e.g., transformer-based detection/tracking, temporal models, multi-task setups). • Collaborate on dataset + labeling design: formats, schemas, tooling, versioning. • Help productionize models: packaging, batch/stream inference patterns, throughput/latency tradeoffs, robustness checks. • Add lightweight quality gates: reproducibility, automated eval, regression detection.

FFmpeg Python PyTorch

View details: Computer Vision Engineer

United States

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Senior Software Engineer II, (ML/AI Platform)

Instacart

Instacart invites the world to share love through food. This is how homemade is made.

AI Engineer1 day ago

Full Time Remote SeniorTeam 1,001-5,000Since 2012H1B Sponsor

Company Site LinkedIn

Role Description As a Senior Engineer on the ML/AI platform team, you will play a key role in building the internal platform which supports training and deploying AI models across the entire organization. You’ll take ownership of defining the platform to enable AI model fine-tuning and batch inference by building the SDKs and supporting the infra to support these unique workloads. We are looking for someone with high ownership and the ability to be a leader in the space. - Excited to build platform-level tools, SDKs - Ability to manage cross-cutting stakeholder relationships, prioritizing customer needs first - Eager to navigate ambiguous, hairy, and technical problem spaces - Eager to jump into domains, languages, and problem areas that might be new and unfamiliar Qualifications - Bachelor’s degree in Computer Science, a related field, or equivalent practical experience - 3 years of experience with software development in one or more programming languages - 2 years of experience in designing, analyzing, and troubleshooting large-scale distributed systems - 1 year of experience leading projects and providing technical leadership - Strong proficiency in maintaining high standards for production services - Rapid coding skills and management of production services - Experience with high scale throughput and distributed systems problems Requirements - Strong communication skills and ability to contextualize problems across various audiences - Skilled at navigating ambiguity and involving the right stakeholders to address issues efficiently - Experience building and shipping products to users - Expertise in building platforms and high scale infrastructure - Visionary thinker capable of generating transformative ideas - Prior experience working with AI Platforms like Ray is a plus Benefits - Highly market-competitive compensation and benefits - Remote work flexibility - New hire equity grant and annual refresh grants

View details: Senior Software Engineer II, (ML/AI Platform)

United States

$211K - $222K / year

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Computational Physicist

Mercor

Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

NLP Engineer1 day ago

Part Time Remote Mid LevelH1B No Sponsor

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: PhD Physicist — Frontier Reasoning Trajectory Writer Type: Contract Compensation: $80–$120/hour Location: Remote Commitment: 15 hours/week Role Responsibilities - Produce "golden trajectories" for hard physics problems with complete, step-by-step solutions. - Work in Studio and iterate with a frontier LLM to draft and refine reasoning. - Develop trajectories clean enough to use as training data. - Evaluate problems screened by a frontier LLM requiring failure at least once. - Work independently and asynchronously to meet deadlines. Qualifications - Must-Have: PhD in physics or in the final 1–2 years of a PhD program. - Daily-driver fluency in LaTeX and Python. - Comfort with iterative LLM workflows. - Detail-oriented; comfortable producing publication-grade derivations. Requirements - Application Process (Takes 20–30 mins to complete): - Submit your application. - Complete the short technical assessment. - Strong applicants will be invited to a follow-up interview. Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

View details: Computational Physicist

Worldwide

$80 - $120 / hour

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Senior Applied AI Engineer

Givzey

The first Give now, Pay later donation solution enabling donors to make the biggest impact on their favorite nonprofits.

AI Engineer2 days ago

Full Time Remote SeniorTeam 1-10H1B No Sponsor

Company Site LinkedIn

• Design, build, and maintain production-grade AI systems and customer-facing AI features • Develop agentic workflows using LLMs, retrieval systems, tools, APIs, and backend services • Build backend services, orchestration systems, automation, and infrastructure supporting AI-powered workflows • Design and implement retrieval-augmented generation (RAG) systems, including ingestion pipelines, embeddings, semantic retrieval, and context assembly • Integrate foundation models through platforms such as Amazon Bedrock or Agent Core • Develop robust prompting strategies, structured outputs, guardrails, and workflow logic for production use cases • Implement evaluation systems for prompts, agents, and workflows, including regression testing, trace review, golden datasets, and human QA processes • Monitor and improve production AI systems for quality, reliability, latency, observability, and cost efficiency • Debug AI behavior through logs, traces, evaluations, user feedback, and production telemetry • Collaborate closely with engineering, product, operations, and customer-facing teams to turn ambiguous requirements into reliable systems • Help establish strong engineering standards around testing, deployment, CI/CD, version control workflows, code review, and operational reliability • Mentor and collaborate with engineers across both software and AI disciplines • Evaluate emerging AI technologies pragmatically based on business impact, maintainability, and operational reliability

Assembly AWS Cloud Distributed Systems NoSQL Python SQL

View details: Senior Applied AI Engineer

United States

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AI Engineer – Workforce Reinvention

OpenSesame

We help companies develop the world's most productive and admired workforces.

AI Engineer2 days ago

Full Time Remote SeniorTeam 51-200Since 2011H1B No Sponsor

Company Site LinkedIn

• Help scale modular tools, intelligent workflows, and production-grade RAG systems • Mature existing AI proofs-of-concept into reliable production systems while establishing engineering rigor through TDD, CI/CD automation, and operational monitoring • Partner closely with AI Champions across departments to create reusable automation capabilities

View details: AI Engineer – Workforce Reinvention

United States

$150K - $170K / year

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Senior AI & ML Engineer

Gametime

Uniting the world through shared experiences.

Machine Learning Engineer2 days ago

Full Time Remote SeniorTeam 201-500H1B Sponsor

Company Site LinkedIn

• Design, build, and ship LLM-powered features and agentic workflows that serve real Gametime users in production. • Build and maintain evaluation frameworks, prompt testing pipelines, and regression suites that ensure quality and reliability of AI-powered experiences. • Contribute to the orchestration layer, including agent routing, tool use, state management, and multi-step workflow coordination. • Develop and optimize prompt optimization strategies, structured outputs, and LLM integration patterns across the platform. • Propose architecture decisions and technical designs for review by the team's tech lead, balancing speed with long-term maintainability. • Collaborate cross-functionally with product, engineering, and data teams to translate customer needs into AI system design. • Stay current with the rapidly evolving LLM and agentic AI landscape, bringing practical new techniques into the team's toolkit.

View details: Senior AI & ML Engineer

United States

$194K - $228K / year

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AI Engineer

Portless

Portless fulfills e-commerce orders directly from China, shaving months of time and saving you $$$ along the way.

AI Engineer2 days ago

Full Time Remote Mid LevelTeam 11-50H1B No Sponsor

Company Site LinkedIn

Role Description At Portless, we specialize in global delivery solutions for SMBs and enterprise merchants, enabling businesses to ship direct-from-factory from manufacturing hubs like China to destinations worldwide. As an AI Engineer, you will own the design, development, and deployment of AI-powered systems that make our operations faster, our team smarter, and our merchants more successful — from intelligent automation and agentic workflows to LLM integrations embedded across our product and internal tooling. If you're passionate about building AI systems that create real business impact, thrive in fast-moving environments, and want to work at the intersection of logistics and cutting-edge AI, we'd love to meet you. - Design and build AI-powered features across our B2B portal, internal tooling, and merchant-facing products — including LLM integrations, AI agents, and intelligent automations - Translate ambiguous business problems into well-scoped AI solutions, from prompt engineering and RAG pipelines to full agentic workflows - Build, evaluate, and iterate on AI systems using a rigorous experiment-driven approach — tracking quality, latency, and cost tradeoffs - Collaborate closely with product, operations, and engineering teams to identify high-leverage AI opportunities and deliver them end-to-end - Develop internal AI tooling and skill frameworks that empower non-technical teams to leverage AI in their daily workflows - Integrate with third-party AI APIs (Anthropic, OpenAI, etc.) and MCP-based tooling while maintaining security and reliability standards - Maintain observability over deployed AI systems — monitoring for regressions, prompt drift, and model performance degradation - Work independently in a remote environment with a strong sense of ownership and ability to ship with minimal oversight Qualifications - 3+ years of software engineering experience, with at least 1–2 years focused on building production AI or ML systems - Hands-on experience with LLM APIs (Anthropic Claude, OpenAI GPT, etc.) and prompt engineering best practices - Strong programming skills in Python and/or TypeScript/JavaScript; comfortable building both backend services and lightweight frontend interfaces - Experience building RAG pipelines, embedding workflows, or agentic systems using frameworks like LangChain, LlamaIndex, or similar - Familiarity with vector databases (Pinecone, Weaviate, pgvector, etc.) and semantic search patterns - Experience working cross-functionally with non-technical stakeholders to scope and deliver AI projects - Proven ability to evaluate AI output quality and build evals/testing frameworks for LLM-based systems - Logistics, supply chain, or B2B SaaS experience is a strong plus - Experience with MCP (Model Context Protocol), AI agent orchestration, or multi-step tool-use workflows is a bonus

View details: AI Engineer

Worldwide

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AI Engineer

GitLab

GitLab, founded in 2011 and based in San Francisco, California, maintains a distributed team of professionals that work remotely across multiple continents. GitLab advocates for pr

AI Engineer2 days ago

Full Time Remote Senior

• Diagnose business problems before building solutions • Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration • Design, develop, and ship AI-powered solutions quickly • Improve organizational flow by building solutions that reduce bottlenecks • Integrate AI capabilities into existing systems and workflows • Partner closely with stakeholders across functions • Define and track success through business metrics and feedback loops

GraphQL JavaScript Python TypeScript

View details: AI Engineer

United States

$108.4K - $129.6K / year

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AI & Machine Learning Instructor

Sizanid Staffing

Machine Learning Engineer2 days ago

Part Time Remote Mid Level

Company Site

Role Description Our client, a growing educational and technology organization, is seeking an experienced AI & Machine Learning Instructor to teach and mentor students on artificial intelligence, machine learning engineering, intelligent systems development, and practical strategies for becoming successful AI & Machine Learning Engineers. This role is ideal for an experienced AI or Machine Learning professional who is passionate about teaching and sharing real-world industry knowledge with aspiring AI engineers, data professionals, and software developers. - Deliver engaging training sessions on artificial intelligence, machine learning, and intelligent systems development. - Teach students how to design, build, train, evaluate, and deploy machine learning models and AI-powered applications. - Guide students on supervised learning, unsupervised learning, deep learning, neural networks, and AI engineering workflows. - Share practical experiences, case studies, and real-world AI and machine learning project insights with students. - Teach students programming concepts using Python and relevant AI/ML frameworks and tools. - Train students on data preprocessing, model optimization, feature engineering, and AI deployment techniques. - Develop instructional materials, coding exercises, presentations, and hands-on AI projects. - Facilitate workshops, live coding demonstrations, and project-based learning sessions. - Mentor students on portfolio development, technical problem-solving, and AI career pathways. - Stay updated on emerging AI technologies, machine learning advancements, Generative AI, and industry best practices. Qualifications - Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or related field required. - Master’s degree or advanced certification in AI, Machine Learning, or Data Science is an advantage. - Minimum of 4–5 years of practical experience in artificial intelligence, machine learning engineering, data science, or related technology fields. - Strong understanding of machine learning algorithms, deep learning, AI engineering workflows, and data-driven systems. - Experience working with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or similar technologies. - Proficiency in Python and familiarity with APIs, cloud AI tools, databases, and deployment technologies. - Excellent communication, presentation, and mentoring skills. - Ability to explain technical concepts clearly and engage students effectively. - Strong analytical, coding, and problem-solving abilities. - Must be legally authorized to work in the USA or Canada. Preferred Qualifications - Experience delivering technical training, workshops, or mentoring programs. - Familiarity with NLP, Generative AI, LLMs, computer vision, or AI automation tools. - Experience building and deploying AI-powered solutions in commercial or production environments. - Certifications in AI, machine learning, cloud technologies, or data science are an advantage. Requirements - Part time. Pay depends on experience.

View details: AI & Machine Learning Instructor

United States + 1 more

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