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Senior Staff AI Engineer

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Sutherland logo

Senior Staff AI Engineer

Sutherland

Location

remote, REMOTE, United States

Experience

Senior

Posted

Jul 10, 2026

Apply by

August 9, 2026

Applicants

0

Early applicantContractWork from Home

Sign in to apply on web or download the app for more options.

Job Description

## Job Description RESPONSIBILITIES · Provides, guides and uses professional concepts in developing resolution to critical issues. · Train and fine-tune models using LoRA and other parameter-efficient techniques · Design, train, and evaluate multimodal models from scratch · Apply reinforcement learning techniques to model development and optimization · Experience with audio/speech ML tasks such as speaker diarization and speaker identification · Deploy, debug, and maintain distributed systems in cloud environments · Optimize inference pipelines using tools and techniques such as TensorRT, quantization, and pruning · Monitor and maintain models in production, including handling data drift and system failures · Perform data gathering, cleaning, and curation to build high-quality training and evaluation datasets · Comfortable working with a gated, continuous deployment workflow that requires unit, component, and integration tests · Applies extensive knowledge of theories, practices and design matters. · Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions. · Exercise a wide latitude in determining objectives and approaches to critical assignments. · Knowledge of media management strategies and distribution workflows · Work closely with Product and Operations to design and optimize workflows · Apply broad expertise and knowledge in highly specialized fields or several related disciplines · Contributes to development of company objectives across and principles to achieve goals · Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles ## Qualifications QUALIFICATIONS/REQUIREMENTS · Expert experience, understanding and knowledge of digital and broadcast production operations and workflows · 5+ years working with the AWS cloud · 1+ years working with the Azure cloud · Strong knowledge of industry trends and best practices · Strong experience with the C4 model and other traditional design artifacts · Experience working in an Agile environment DESIRED CHARACTERISTICS · 7+ years of a programming languages such as Java, Golang, Python, JavaScript · Knowledge with broadcast production or video content management systems · Familiarity with client-side web technologies (React, Angular, JavaScript, CSS, HTML) · Familiarity with continuous integration/deployment practices · Docker, Kubernetes experience a plus · BS in CS, EE or equivalent experience required ## Additional Information All your information will be kept confidential according to EEO guidelines. EEOC and Veteran Documentation During employment, employees are treated without regard to race, color, religion, sex, national origin, age, marital or veteran status, medical condition or handicap, or any other legally protected status. At times, government agencies require periodic reports from employers on the sex, ethnicity, handicap, veteran and other protected status of employees. The purpose of this Administrative EEO Record is for statistical analysis only and is used to comply with government record keeping, reporting, and other legal requirements. Periodic reports are made to the government on the following information. The completion of the Administrative EEO record is optional. If you choose to volunteer the requested information, please note that all Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file. Please note: YOUR COOPERATION IS VOLUNTARY. INCLUSION OR EXCLUSION OF ANY DATA WILL NOT AFFECT ANY EMPLOYMENT DECISION.

Key Responsibilities

  • Train and fine-tune models using LoRA and other parameter-efficient techniques
  • Design, train, and evaluate multimodal models from scratch
  • Apply reinforcement learning techniques to model development and optimization
  • Deploy, debug, and maintain distributed systems in cloud environments
  • Optimize inference pipelines using TensorRT, quantization, and pruning
  • Monitor and maintain models in production, including handling data drift and system failures
  • Perform data gathering, cleaning, and curation to build high-quality training and evaluation datasets
  • Work with gated, continuous deployment workflows requiring unit, component, and integration tests
  • Collaborate with Product and Operations to design and optimize workflows

Requirements

  • BS in CS
  • EE or equivalent experience

Skills Required

AWSAzureLoRAMultimodal modelsReinforcement learningSpeaker diarizationSpeaker identificationTensorRTQuantizationPruningAgileC4 modelProblem solvingStrategic thinkingCollaborationJavaGolangPythonJavaScriptReactAngularCSSHTMLDockerKubernetesBroadcast production systemsVideo content management systemsContinuous integration/deployment

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Job Overview

Salary

—

Job Type

Contract

Experience

Senior

Location

remote, REMOTE, United States

Application Deadline

August 9, 2026

Total Applicants

0

About Sutherland

Sutherland logo

Sutherland is a leading company in the Technology sector, known for innovation and employee-centric culture.

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