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Company Summary: EchoStar is reimagining the future of connectivity. Our business reach spans satellite television se...

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Staff AI/ML Platform Engineer

EchoStar Littleton, CO, US

$110k - $157k Senior Full-time

Company Summary:

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Department Summary:

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities:

We are seeking an experienced Staff AI/ML Platform Engineer to build and operate production AI/ML infrastructure that enables data scientists and engineers to deploy AI-driven solutions optimizing network performance, customer experience, and operations for Boost Wireless. You will own the implementation and management of scalable ML platforms, MLOps pipelines, and real-time inference systems across our enterprise and cloud-native environments. As a key technical contributor, you'll partner with architects, data scientists, and network engineers to translate AI architecture designs into reliable, production-grade platforms that deliver measurable business impact.

Key Responsibilities:

Architect, build, and maintain enterprise AI/ML platforms and infrastructure supporting network optimization, operational analytics, and customer intelligence initiatives
Design and implement scalable MLOps pipelines for model training, deployment, monitoring, and automated retraining across multi-cloud and edge environments
Develop and operate real-time data processing and inference frameworks to power high-volume streaming analytics and low-latency decisioning
Integrate AI/ML services into OSS/BSS ecosystems, ensuring seamless interoperability, performance reliability, and automated, data-driven decision capabilities
Deploy and optimize AI-driven solutions for enterprise network slicing using cloud-native and edge computing technologies to enhance scalability and performance
Establish robust model lifecycle management, governance, and monitoring frameworks while mentoring junior engineers and partnering with senior architects to drive operational excellence

Skills, Experience and Requirements:

Education and Experience:

Bachelor's or Master's in Computer Science, Engineering, or a related technical discipline
8+ years of platform engineering or DevOps experience, including at least 3 years building AI/ML infrastructure in telecom or enterprise environments

Skills and Qualifications:

Deep expertise in cloud-native architectures, Kubernetes orchestration, containerization (Docker), and edge deployment patterns within distributed environments
Hands-on experience with enterprise AI/ML platforms (IBM Watson, AWS Bedrock, Databricks, Google Vertex AI) and MLOps tooling such as MLflow, Kubeflow, and SageMaker
Strong proficiency in big data ecosystems including Kafka, Spark, Hadoop, and distributed computing frameworks supporting real-time analytics
Solid understanding of ML frameworks (TensorFlow, PyTorch, Scikit-learn) and modern model serving technologies for scalable inference
Advanced software engineering capabilities, including CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), observability tools, and integration with OSS/BSS systems and network protocols
Demonstrated problem-solving, collaboration, and stakeholder communication skills, with preferred experience in AI-driven network optimization, network slicing, telemetry systems, model monitoring, A/B testing, feature stores, and telecom data privacy and compliance frameworks

Benefits:

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.

EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Salary Range: USD $110100.00 - $157300.00 / Year

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