Your space-enabled career begins here

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.

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

In this role, you will be working on ideating and developing privacy preserving machine learning, deep learning, and generative AI algorithms. Candidates should have a proven track record that demonstrates innovation, strong collaboration, excellent interpersonal skills, and a passion for designing and developing high-quality software.

• Design, architecture and implementation of AWS Cloud platform and machine learning models with scalability, security and reliability.
• Architect scalable, high-performance ML pipelines using AWS and databricks.
• Work with cross-functional teams (e.g., Data Science, Data Engineering, Product Owner) to ensure ML models meet business requirements.
• Integrate model versioning, tracking, and rollback mechanisms into the pipeline to ensure reproducibility and governance.
• Provide technical leadership in design and implementation of machine learning solutions to meet project requirements.
• Create reusable framework, process and libraries to elevate the team capabilities.
• Mentor and guide team members, ensuring the code and cloud best practices.
• Lead and participate in code reviews, design reviews, and technical discussions.
• Drive automation efforts to streamline cloud infrastructure and application deployment pipelines (CI/CD)

Education & Experience

• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent degree field
• 5+ years of industry experience building machine learning and deep learning based software applications

Skills

• Strong machine learning and deep learning fundamentals
• Hands on experience with large language models (LLMs) and LLMOps
• Exceptional problem-solving and interpersonal skills
• Robust applied software methodology, process, and quality skills to take an ML algorithm from a prototype to a final production quality deployment
• Strong machine learning and deep learning fundamentals
• ​​Experience with serverless architectures and AWS Stack
• Databricks pipeline implementation
• Proficiency in Python, Scala and expertise in designing, deploying, and managing highly available, fault-tolerant, and scalable systems in AWS.
• Familiarity with libraries and frameworks related to machine learning and NLP.
• Strong knowledge of DevOps practices, including CI/CD pipelines.

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.