Dolby Laboratories Inc.

Dolby Laboratories Inc.

Staff Machine Learning Engineer

Atlanta, Georgia,United States · Staff+ · Full-time

Sponsorship not specified$181k-$209kDetected 16 days ago
PythonGoC++BashiOSAndroidDistributed SystemsData StructuresAlgorithmsGitKubernetesCI/CDGitHub ActionsLinuxDevOpsRESTgRPCKafkaMachine LearningDeep LearningTensorFlowPyTorchSparkData Science

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$91,9151 entry
Level II$113,7762 entries
Level III$135,6583 entries
Level IV$157,5184 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Atlanta-Sandy Springs-Roswell, GA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones.
  • To do that, we need the absolute best talent.

Responsibilities

  • Design and implement cloud-based, distributed software architectures and microservice-based platforms to enable low latency, real-time streaming and complex event processing that deliver Dolby's next gen Audio/Visual experiences in the cloud or on end-user devices.
  • Develop new applications, novel data collection tools, and instrumentation regimes that enable an amazing variety of interactive and immersive data-driven experiences by inferring context of both content and the world around us using AI-based techniques.
  • Consult and implement data governance and management policies to support Dolby's position as trusted custodian in the media, entertainment, and technology ecosystems.
  • What you need to succeed Competencies Technical depth: Necessary technical knowledge to create new SW architecture, platforms, and enabling systems needed for real-time, just-in-time processing for audio/video algorithms running on distributed fashion between cloud and edge devices.
  • Invent & Innovate: Develop short and long-term technologies, algorithms and software tools that will help make Dolby a world leader in enhancing the sight and sound associated with digital content consumption.
  • Then influence and collaborate with BG partners put the technology into production.
  • Work with a sense of Urgency: Responds aggressively to changing trends and new technologies and creates new algorithms to capitalize on them.
  • Collaborate: Collaborate with and influence peers in developing industry-leading technologies.
  • Work with external trendsetters and technology drivers in academia and in partner enterprises.
  • Necessary technical knowledge to create new SW architecture, platforms, and enabling systems needed for real-time, just-in-time processing for audio/video algorithms running on distributed fashion between cloud and edge devices.

Skills

  • Openness to learn new areas and innovate in the new areas.
  • Takes appropriate risks to be ahead of the competition and the market.
  • Bonus: Experience with deep learning frameworks, e.g., TensorFlow, PyTorch, etc., is a plus.
  • Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.
  • Our success depends on the combined skills and talents of all our employees.
  • At Dolby, science meets art, and high tech means more than computer code.
  • The Advanced Technology Group (ATG) is the research division of the company.
  • Data is critical to synthesizing experiences that are otherwise unimaginable.

Compensation

  • Bonus: Experience with Databricks / Spark The Atlanta Area base salary range for this full-time position is $180,800 -$209,200, which can vary if outside this location, plus bonus, benefits, and some roles may also include equity.
  • Our salary ranges are determined by role, level, and location.
  • Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.

Benefits

  • Partner with ATG researchers to understand data and advanced cloud system-related opportunities in adjacent research domains such as applied AI and machine learning in Audio / Video domains.
  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training.

Company info

  • We're looking for a talented Staff Data/ML Engineer who is excited to advance the state of the art in technologies of interest to Dolby as well as the human society at large.
  • Be a key part of a team which is trying to figure out how to do low latency cloud offloading of complex algorithm.

Equal opportunity

  • Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12 Equal Employment Opportunity: Dolby is proud to be an equal opportunity employer.
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This listing is sourced directly from Dolby Laboratories Inc.'s careers page and normalized into a canonical job model.