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Assurance Ml Jobs (NOW HIRING)

Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent ...

... A with cloud technologies, including 3+ years of experience with hands-on exposure to AI/ML application testing. * 2+ years of relational database experience including generating complex queries ...

... A with cloud technologies, including 3+ years of experience with hands-on exposure to AI/ML application testing. * 2+ years of relational database experience including generating complex queries ...

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work: This is a ...

The Role Build and lead the QA function at Dyna across our full stack - cloud inference servers to ... Experience with ML model evaluation, defining performance metrics for AI systems, or building ...

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work: This is a ...

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work: This is a ...

Software Engineer II, iOS

Palo Alto, CA · On-site

$140K - $160K/yr

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work: This is a ...

Software Engineer II, iOS

Palo Alto, CA · On-site

$164K/yr

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work: This is a ...

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work: This is a ...

Software Engineer II, iOS

Palo Alto, CA · On-site

$165K/yr

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work: This is a ...

Software Engineer II, iOS

Palo Alto, CA · On-site

$164K/yr

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work: This is a ...

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work This is a ...

Software Engineer II, iOS

Palo Alto, CA · On-site

$140K - $160K/yr

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work: This is a ...

$15K/yr

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work This is a ...

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Assurance Ml information

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How much do assurance ml jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for assurance ml in the United States is $44.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $54.57 per hour, depending on experience, location, and employer.

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Infographic showing various Assurance Ml job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $93,338 per year, or $44.9 per hour.

AI / ML Engineer

Huntsville, AL • On-site

DESE Research, Inc.
51 - 200 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense, space, and installation infrastructure S&T programs.


This is a consolidated announcement covering multiple tracks; your assignment may emphasize one or a blend of: Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent research, cross-functional collaboration, and the ability to clearly communicate complex technical work to stakeholders.


Core Responsibilities

  • Design, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures.

  • Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering.

  • Develop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation.

  • Optimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT).

  • Implement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components.

  • Conduct data processing/analysis to improve model accuracy; document and present development processes and assurance evidence to stakeholders.

  • Contribute to Agile, team-based planning and estimating in a fast-paced, collaborative environment.


Minimum Requirements

  • Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field).

  • Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.

  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

  • Proficiency in Python and at least one additional language (Java, C++).

  • Strong understanding of data structures, data modeling, and software architecture.


Highlighted Skills & Experience

  • Modern AI: LLM frameworks and application development; vector embeddings and vector databases; RAG architectures; prompt/context engineering; LLM fine-tuning; model evaluation and benchmarking.

  • Classic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive modeling across structured and unstructured data.

  • AI Assurance: Responsible AI practices (robustness, bias/fairness, traceability); adversarial ML defenses; red-team testing; auditability and compliance documentation.

  • Edge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments.

  • Platform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP).

  • Domain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis).

  • Contributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments.

  • Understanding of computer security principles and secure software development lifecycle (SSDLC) practices.


Why This Role Matters

You'll join a high-impact team solving some of the DoD's hardest problems in AI-enabled system security, building the next generation of trusted, auditable, and mission-ready AI for national defense.


About DESE

For the past 43 years, DESE has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DESE provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems.


Why employees love working for DESE

At DESE, we are committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here:



  • Competitive health, dental and vision insurance with affordable premiums

  • Flexible work schedules

  • Two different flexible spending account options

  • Company paid life insurance with options for employee paid additional

  • Performance bonus program

  • Education reimbursement program

  • Company paid personal leave for approved philanthropic activities

  • Vacation, Sick & Holiday leave

  • Robust 401k profit sharing plan

  • Opportunities for internal promotions

  • Employee referral incentive program

  • Rewards and gifts for service anniversaries


Disability Accommodation for Applicants - DESE Research, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following alternative email address or phone number to contact us about your interest in employment with us: hrandsecurity@dese.com or 256-837-8004x123.

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