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Senior Platform Engineer - NBA
Humana
Cheyenne, WY
The Senior Platform Engineer keeps the entire NBA platform healthy, reliable, and maintainable for the long term. You develop a working understanding of every layer of the technology stack…
Added just now
Senior Full Stack Engineer - NBA
Humana
Cheyenne, WY
The Senior Full Stack Engineer builds and evolves the NBA platform's Action Library and Command Center experience, the operational system used by business and program teams to create,…
Added just now
Senior Decision Intelligence Engineer
Humana
Cheyenne, WY
The Senior Machine Learning Engineer, Decision Intelligence is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA…
Added 1 min ago
EG
Senior Data Engineer
Eliassen Group
Cheyenne, WY
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 3 mins ago
Senior Platform Engineer - NBA
Humana
Providence, RI
The Senior Platform Engineer keeps the entire NBA platform healthy, reliable, and maintainable for the long term. You develop a working understanding of every layer of the technology stack…
Added 3 mins ago
Senior Full Stack Engineer - NBA
Humana
Providence, RI
The Senior Full Stack Engineer builds and evolves the NBA platform's Action Library and Command Center experience, the operational system used by business and program teams to create,…
Added 3 mins ago
Senior Decision Intelligence Engineer
Humana
Providence, RI
The Senior Machine Learning Engineer, Decision Intelligence is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA…
Added 3 mins ago
EG
Senior Data Engineer
Eliassen Group
Providence, RI
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 8 mins ago
Senior Platform Engineer - NBA
Humana
Frankfort, KY
The Senior Platform Engineer keeps the entire NBA platform healthy, reliable, and maintainable for the long term. You develop a working understanding of every layer of the technology stack…
Added 8 mins ago
Senior Full Stack Engineer - NBA
Humana
Frankfort, KY
The Senior Full Stack Engineer builds and evolves the NBA platform's Action Library and Command Center experience, the operational system used by business and program teams to create,…
Added 8 mins ago
Senior Decision Intelligence Engineer
Humana
Frankfort, KY
The Senior Machine Learning Engineer, Decision Intelligence is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA…
Added 8 mins ago
EG
Senior Data Engineer
Eliassen Group
Frankfort, KY
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 33 mins ago
Principal / Sr. Principal Cyber Systems Administrator
Northrop Grumman
Huntsville, AL · Huntsville
This role will provide mid to senior-level system and network administration for secure communications, cloud-based data pipelines, remote asset management, and observability services…
Added 33 mins ago
Principal Engineer - PVTP Architecture
General Motors LLC
Seattle, WA
As Principal Engineer, PVTP Architecture, you will be the senior technical authority and system architect for this ecosystem. You will set the long-term architecture and drive…
Added 1 hour ago
T
Principal Software Engineer Manager (AI Infrastructure) - North America Software Center
TSMC
Vancouver, WA
- $166,800 to $223,050 USD / year
The North America Software Center builds next-generation AI infrastructure, hybrid cloud platforms, data engineering ecosystems, and developer platforms supporting thousands of engineers…
Added 1 hour ago
Site Reliability Engineer 2 - Production Engineering
Anduril Industries
Seattle, WA
…reliability. We run on-call and incident management tooling, build observability and automation, and create the playbooks that help teams detect and recover from production issues. We…
Added 1 hour ago
Site Reliability Engineer 2 - Production Engineering
Anduril Industries
Costa Mesa, CA · Seattle, WA
…reliability. We run on-call and incident management tooling, build observability and automation, and create the playbooks that help teams detect and recover from production issues. We…
Added 1 hour ago
Software Engineer
Compeer Financial
Mankato, MN · Bloomington, IL · Sun Prairie, WI
…knowledge of the team's programming languages, frameworks, APIs, data patterns, automated testing, CI/CD, cloud-native engineering, observability, DevSecOps, and production support…
Added 1 hour ago
Senior Infrastructure Engineer - Network
Compeer Financial
Bloomington, IL · Lakeville, MN · Mankato, MN · Sun Prairie, WI
The contributions you will make: This positions is a senior engineer accountable for the design, reliability, modernization, and continuous improvement of complex enterprise network and…
Added 1 hour ago
Principal Infrastructure Engineer- Unified Communications
Compeer Financial
Bloomington, IL · Lakeville, MN · Mankato, MN · Sun Prairie, WI · Prairie du Sac, WI
…connectivity, quality of service, call routing, emergency calling, observability, automation, resiliency, lifecycle management, and operational…
Added 1 hour ago
Principal Infrastructure Engineer- Network
Compeer Financial
Bloomington, IL · Lakeville, MN · Mankato, MN · Sun Prairie, WI
…connectivity, quality of service, call routing, emergency calling, observability, automation, resiliency, lifecycle management, and operational…
Added 1 hour ago
Principal AI Platform Engineer
Compeer Financial
Mankato, MN · Bloomington, IL · Lakeville, MN · Sun Prairie, WI · Naperville, IL · Rochester, MN
Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support,…
Added 1 hour ago
Intern Engineering
Compeer Financial
Sun Prairie, WI · Bloomington, IL
…responsibly exploring cloud-native, DevSecOps, automation, observability, AI-enabled tools and practices, Agentic AI patterns, and AI…
Added 1 hour ago
Intern Engineering
Compeer Financial
Bloomington, IL · SunPrairie, WI · Sun Prairie, WI
…responsibly exploring cloud-native, DevSecOps, automation, observability, AI-enabled tools and practices, Agentic AI patterns, and AI…
Added 1 hour ago
EG
Senior Data Engineer
Eliassen Group
Bismarck, ND
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…

Closed listing

Quantum Sky

Machine Learning and AI Engineer

United States

The salary range for this position is typically between $135,000 - $155,000.

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: The salary range for this position is typically between $135,000 - $155,000.
Closing date: Oct 29, 2027
Posting language: English
Posted: Oct 29, 2026

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Original job description

Archived listing. The details below describe a past opening.

Description

Quantum Sky is seeking a Machine Learning and AI Engineer to join Matrix, the digital platforms team within Project 137, in the Chief Technology Office. Project 137 develops applied research and proprietary technology that support mission needs across the company’s business units. As part of Matrix, you will develop and integrate AI/ML capabilities into digital platforms and enterprise applications.

You will work across machine learning, generative AI, data engineering, and application integration, taking solutions from research and rapid prototyping through evaluation and production deployment. Working closely with Matrix engineers and stakeholders across Project 137, you will help deploy reliable AI capabilities on local hardware and in cloud environments, integrate them with enterprise systems, and communicate their value and limitations.

Responsibilities

Design, develop, train, evaluate, and deploy machine learning and deep learning models, including computer vision models such as YOLO and model export and serving with ONNX.
Develop applications using commercial and open-weight large language models (LLMs), deployed on local hardware or in cloud environments.
Build and optimize retrieval-augmented generation (RAG) pipelines using document ingestion and parsing, embeddings, vector databases, and hybrid keyword and semantic retrieval.
Implement agentic AI workflows, including tool calling, orchestration, multi-agent coordination, and effective management of model context.
Evaluate and improve models and AI applications through feature engineering, hyperparameter tuning, prompt design, fine-tuning, and performance optimization.
Implement AI guardrails for input validation, personally identifiable information (PII), data classification, and safe failure behavior.
Integrate AI/ML capabilities into production applications and APIs using modular architectures, reusable components, containers, automated testing, and CI/CD pipelines.
Develop ETL/ELT pipelines for structured and unstructured data; maintain data quality, lineage, and appropriate handling of sensitive information.
Develop Power BI data models, DAX calculations, advanced analytics, and embedded reporting to make analytical results accessible to users, as needed.
Integrate solutions with Microsoft Azure services, including Azure OpenAI, and enterprise authentication using Microsoft Entra ID and OAuth.
Translate ambiguous requirements into technical approaches, research emerging methods, and prototype solutions to assess feasibility before production investment.
Contribute to architecture, technical planning, code reviews, and documentation; communicate findings to technical and nontechnical audiences.

Qualifications

Required:

Demonstrated professional experience designing, developing, and supporting production software applications.
Strong hands-on software development experience with Python, including professional experience developing applications using Django, FastAPI, or a comparable modern framework.
Programming experience with Go and familiarity with JavaScript/TypeScript or other modern application development languages.
Experience designing, developing, and consuming RESTful APIs and integrating applications with external systems and services.
Experience with relational databases, data modeling, backend application architecture, and modern front-end web development technologies.
Experience building AI agent or agentic-workflow systems: tool use, multi-step orchestration, and integration with large language models.
Experience with modern front-end development, including at least exposure to generative or AI-driven UI.
Hands-on experience working in cloud environments such as AWS, GCP, or Azure, with an understanding of how applications are deployed, configured, secured, monitored, and operated in production.
Experience working within a CI/CD and DevOps-based software delivery environment, including automated builds, testing, deployments, version control, and release processes.
Familiarity with Infrastructure as Code (Terraform, CloudFormation, or similar), sufficient to work effectively alongside the engineers who own it.
Experience with Docker, containers, and cloud-native application deployment. Familiarity with Kubernetes or managed container platforms is highly desirable.
Demonstrated experience using AI-assisted software development tools such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or comparable technologies as part of day-to-day professional software development.
Ability to independently troubleshoot software, integration, deployment, and production issues and develop secure, reliable, and maintainable solutions.
Comfort operating in a high-ambiguity, early-stage product environment: able to ask clarifying questions, propose trade-offs, and iterate without fully specified requirements.
Strong analytical, problem-solving, and communication skills with the ability to collaborate across software engineering, product, cloud, and platform teams.

Desired:

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
Direct experience with the Model Context Protocol (MCP) or comparable agent-tool integration standards.
Experience with agent orchestration frameworks (for example LangChain, LlamaIndex, CrewAI, or comparable).
Experience developing software for network operations, telemetry, or mission/tactical systems.
Experience with AWS and/or GCP cloud-native services, including serverless, container, database, messaging, monitoring, identity, and security services.
Hands-on experience with technologies such as Terraform, Docker, Kubernetes, GitHub Actions, GitLab CI, AWS CodePipeline, CloudFormation, or comparable DevOps and cloud automation technologies.
Experience with modern JavaScript/TypeScript frameworks (React or similar), including streaming UI patterns.
Familiarity with vector databases, retrieval-augmented generation, or other applied large-language-model patterns.
Experience with observability and monitoring platforms such as CloudWatch, OpenSearch, Splunk, Datadog, New Relic, or similar technologies.
Knowledge of the NIST Risk Management Framework (RMF), NIST SP 800-53 Revision 5, FedRAMP, and FISMA security and compliance requirements.
Experience translating operational or mission requirements into application features, automation, workflows, integrations, or reporting capabilities.
Prior experience supporting a Defense Information Systems Agency, Army, Air Force, or other Department of War program.
Experience developing and operating software supporting federal government, enterprise, or other highly regulated environments.

Clearance:

US Citizenship with the ability to obtain a security clearance
DOD/DoW Secret or Top Secret clearance is preferred

Location:

Remote, US. Hybrid-remote in Reston, VA (preferred)

About Quantum Sky

Compensation:

Compensation is unique to each candidate and relative to the skills and experience they bring to the position. The salary range for this position is typically between $135,000 - $155,000. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range.

Benefits:

Highlights of our benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, and parental leave.

The world the mission operates in is going post-quantum, contested, and machine-speed. Quantum Sky engineers the advantage across cyber, networks, software, and quantum because the mission demands dominance, not parity. We don't follow the map. We draw it.

At Quantum Sky, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamQuantumSky?

Quantum Sky Engineering LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.

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