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Software Engineer II

6c0f07f7 5d5e 40a8 8e01 433d1c743d19 19000101 000001 · Herndon, VA, US, Herndon, VA · Remote · Active · ADP Workforce Now Recruiting

Job facts

FieldValue
Company6c0f07f7 5d5e 40a8 8e01 433d1c743d19 19000101 000001
TitleSoftware Engineer II
Normalized title-
Department / team-
LocationHerndon, VA, United States
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2026-05-29 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

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Company jobsActive postings from 6c0f07f7 5d5e 40a8 8e01 433d1c743d19 19000101 000001.Open
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ATS provider jobsActive postings observed through ADP Workforce Now Recruiting.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Herndon.Open
Work model jobsActive Remote postings.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

Company6c0f07f7 5d5e 40a8 8e01 433d1c743d19 19000101 000001
Source08ad9031-051f-485a-9dd2-2c69aa7b0a29
ATS providerADP Workforce Now Recruiting

Description

Job Description: Quevera is seeking a Software Engineer II to join our team. At Quevera, we don’t just offer jobs—we provide opportunities to be part of a dynamic, forward-thinking community that fosters innovation, collaboration, and personal growth. You’ll work with industry experts, take on exciting challenges, and have the creative freedom to build cutting-edge solutions, all while advancing your career in a space that truly values your skills and ideas. HIGHLIGHT'S OF WORKING FOR QUEVERA: Quevera employees voted Quevera as a TOP EMPLOYER in the Baltimore /DC area by the Washington for 2025 for the 5th consecutive year! Excellent Quevera's Benefits: Medical/Dental/Vision ( 100% Employer Paid Medical Plan ) Short/Long Term Disability (Employer Paid) Life Insurance ( Employer Paid ) Yearly $5,000 towards education/training/certification. Employees are in control of their career path through our Career Pathway Program . Employer paid Company Vacation Package for you and a guest ! Retirement: Quevera will match up to 6% towards your 401K and an additional 4% profit sharing! REQUIRED - MUST have a current TS/SCI Polygraph clearance to apply for role. Only those with a current TS/SCI with Poly clearance will be considered. Duties and Responsibilities: Design and execute fine-tuning pipelines for Vision-Language Models (VLMs) on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization Develop and implement evaluation frameworks for multimodal model performance, including task-specific metrics for image understanding, visual question answering, and spatial reasoning Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine-tuning of large multimodal models Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model-ready formats for supervised and instruction-tuning workflows Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques Required Experience: TS/SCI with CI Poly required with current NGA eligibility and SBU/SECNet/COE accounts Must be willing to work in SCIF daily or as needed 5+ years of professional machine learning engineering experience with a focus on deep learning 1+ years of hands-on experience fine-tuning large foundation models (LLMs or VLMs) Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, adapters) Familiarity with supervised fine-tuning, instruction tuning, and RLHF/DPO alignment techniques 4+ years of advanced Python development for ML workloads Strong proficiency with PyTorch and the HuggingFace ecosystem (Transformers, PEFT, Datasets, Accelerate) Experience with distributed training frameworks (DeepSpeed, FSDP, or Megatron) 3+ years of experience with computer vision or multimodal models Understanding of vision transformer architectures (ViT, CLIP, LLaVA-family models, or similar) Experience processing and augmenting image datasets at scale 3+ years of experience with AWS ML infrastructure SageMaker Training jobs, Processing jobs, and endpoint deployment GPU instance selection, multi-node training, and cost optimization on EC2 (P4/P5/G5/G6e) S3 data management for large-scale training datasets 2+ years of experience building ML evaluation pipelines Automated benchmarking, metric computation, and result analysis Experience with both quantitative metrics and qualitative/human evaluation approaches Strong software engineering fundamentals (version control, testing, CI/CD for ML workflows) Desired Experience: 2+ years of experience with geospatial or remote sensing imagery Familiarity with electro-optical and SAR satellite imagery formats and characteristics Understanding of geospatial metadata, coordinate systems, and imagery preprocessing Experience with model quantization and inference optimization (vLLM, TensorRT, ONNX) Experience with MLOps and experiment tracking tools (MLflow, Weights & Biases, SageMaker Experiments) Familiarity with data annotation platforms and active learning workflows for imagery Experience with containerized ML workflows (Docker, ECR, ECS/EKS) 2+ years of experience with Authority to Operate (ATO) processes in government environments Implementation of NIST 800-53 controls and security compliance for ML systems Experience deploying models in air-gapped or disconnected environments Familiarity with multimodal evaluation benchmarks (MMMU, MMBench, GQA, or domain-specific equivalents) Publications or demonstrated contributions in computer vision, VLMs, or multimodal AI Experience with synthetic data generation for training data augmentation Complete items below line after a partner is selected Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law. #LI-AA1

Full job record

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Org ID94c0a210-72b0-4934-a576-eaeec981c518
Source ID08ad9031-051f-485a-9dd2-2c69aa7b0a29
Board ID08ad9031-051f-485a-9dd2-2c69aa7b0a29
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Provider Job Key598875
TitleSoftware Engineer II
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Remote Policyremote
CountryUnited States
RegionVA
CityHerndon
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First Seen At2026-05-31 18:12:34Z
Last Seen At2026-06-06 12:38:18Z
Last Checked At2026-06-06 12:38:18Z
Last Changed At2026-06-06 12:38:18Z
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Source Posted At2026-05-29 19:34:00Z
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    "requisitionDescription": "<div><p><span style=\"font-size: 16px;\"><br></span></p><p id=\"isPasted\"><span style=\"font-size: 16px;\"><strong>Job Description:</strong></span></p><p><span style=\"font-size: 16px;\">&nbsp;</span></p><p id=\"isPasted\"><span style=\"font-size: 16px;\">Quevera is seeking a <strong>Software Engineer II</strong> to join our team. At Quevera, we don&rsquo;t just offer jobs&mdash;we provide opportunities to be part of a dynamic, forward-thinking community that fosters innovation, collaboration, and personal growth. You&rsquo;ll work with industry experts, take on exciting challenges, and have the creative freedom to build cutting-edge solutions, all while advancing your career in a space that truly values your skills and ideas.</span></p><p><span style=\"font-size: 16px;\"><u>HIGHLIGHT&#39;S OF WORKING FOR QUEVERA:</u></span></p><p><span style=\"font-size: 16px;\">Quevera employees voted Quevera as a TOP EMPLOYER in the Baltimore /DC area by the Washington for 2025 for the 5th consecutive year!</span></p><p><span style=\"font-size: 16px;\"><u>Excellent Quevera&#39;s Benefits:</u></span></p><p><span style=\"font-size: 16px;\">Medical/Dental/Vision&nbsp;(<strong>100% Employer Paid Medical Plan</strong>)</span></p><p><span style=\"font-size: 16px;\">Short/Long Term Disability&nbsp;(Employer Paid)</span></p><p><span style=\"font-size: 16px;\">Life Insurance&nbsp;(<strong>Employer Paid</strong>)</span></p><p><span style=\"font-size: 16px;\">Yearly&nbsp;$5,000&nbsp;towards education/training/certification.</span></p><p><span style=\"font-size: 16px;\">Employees are in control of their career path through our <em>Career Pathway Program</em>.</span></p><p><span style=\"font-size: 16px;\"><strong>Employer paid <em>Company Vacation Package for you and a guest</em>! &nbsp; &nbsp;&nbsp;</strong></span></p><p><span style=\"font-size: 16px;\"><u>Retirement:</u></span></p><p><span style=\"font-size: 16px;\"><strong>Quevera will match up to 6% towards your 401K and an additional 4% profit sharing!</strong></span></p><p><span style=\"font-size: 16px;\"><strong>REQUIRED - MUST have a current TS/SCI Polygraph clearance to</strong> <strong>apply for role. Only those with a current TS/SCI with Poly clearance will be considered.</strong></span></p><p><span style=\"font-size: 16px;\">&nbsp;</span></p><p><span style=\"font-size: 16px;\"><strong>Duties and Responsibilities:&nbsp;</strong></span></p><p><span style=\"font-size: 16px;\">&nbsp;</span></p><ul type=\"disc\" style='margin-bottom: 0in; color: rgb(36, 36, 36); font-family: \"Segoe UI\", \"Segoe UI Web (West European)\", -apple-system, BlinkMacSystemFont, Roboto, \"Helvetica Neue\", sans-serif; font-size: 15px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; margin-top: 0in;' data-pasted=\"true\"><li style=\"margin-top: 12pt; margin-bottom: 12pt; background: white; font-size: 16px;\"><span data-olk-copy-source=\"MessageBody\" style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: rgb(36, 36, 36);\">Design and execute fine-tuning pipelines for Vision-Language Models (VLMs) on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background: white; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: rgb(36, 36, 36);\">Develop and implement evaluation frameworks for multimodal model performance, including task-specific metrics for image understanding, visual question answering, and spatial reasoning</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background: white; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: rgb(36, 36, 36);\">Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine-tuning of large multimodal models<br>Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model-ready formats for supervised and instruction-tuning workflows</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background: white; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: rgb(36, 36, 36);\">Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques&nbsp;</span></li></ul><p><span style=\"font-size: 16px;\"><strong>Required Experience:</strong></span></p><p><span style=\"font-size: 16px;\"><strong>&nbsp;</strong></span></p><ul type=\"disc\" style='margin-bottom: 0in; color: rgb(36, 36, 36); font-family: \"Segoe UI\", \"Segoe UI Web (West European)\", -apple-system, BlinkMacSystemFont, Roboto, \"Helvetica Neue\", sans-serif; font-size: 15px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; margin-top: 0in;' data-pasted=\"true\"><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span data-olk-copy-source=\"MessageBody\" style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">TS/SCI with CI Poly required with current NGA eligibility and SBU/SECNet/COE accounts</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">Must be willing to work in SCIF daily or as needed</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">5+ years of professional machine learning engineering experience with a focus on deep learning</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">1+ years of hands-on experience fine-tuning large foundation models (LLMs or VLMs)</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, adapters)</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">Familiarity with supervised fine-tuning, instruction tuning, and RLHF/DPO alignment techniques</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">4+ years of advanced Python development for ML workloads</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">Strong proficiency with PyTorch and the HuggingFace ecosystem (Transformers, PEFT, Datasets, Accelerate)</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">Experience with distributed training frameworks (DeepSpeed, FSDP, or Megatron)</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">3+ years of experience with computer vision or multimodal models</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">Understanding of vision transformer architectures (ViT, CLIP, LLaVA-family models, or similar)</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">Experience processing and augmenting image datasets at scale</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">3+ years of experience with AWS ML infrastructure<br>SageMaker Training jobs, Processing jobs, and endpoint deployment<br>GPU instance selection, multi-node training, and cost optimization on EC2 (P4/P5/G5/G6e)<br>S3 data management for large-scale training datasets</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">2+ years of experience building ML evaluation pipelines<br>Automated benchmarking, metric computation, and result analysis<br>Experience with both quantitative metrics and qualitative/human evaluation approaches</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">Strong software engineering fundamentals (version control, testing, CI/CD for ML workflows)</span></li></ul><p><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\"><strong>Desired Experience:</strong></span></p><ul type=\"disc\" style='margin-bottom: 0in; color: rgb(36, 36, 36); font-family: \"Segoe UI\", \"Segoe UI Web (West European)\", -apple-system, BlinkMacSystemFont, Roboto, \"Helvetica Neue\", sans-serif; font-size: 15px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; margin-top: 0in;' data-pasted=\"true\"><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span data-olk-copy-source=\"MessageBody\" style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">2+ years of experience with geospatial or remote sensing imagery<br>Familiarity with electro-optical and SAR satellite imagery formats and characteristics<br>Understanding of geospatial metadata, coordinate systems, and imagery preprocessing</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">Experience with model quantization and inference optimization (vLLM, TensorRT, ONNX)<br>Experience with MLOps and experiment tracking tools (MLflow, Weights &amp; Biases, SageMaker Experiments)<br>Familiarity with data annotation platforms and active learning workflows for imagery<br>Experience with containerized ML workflows (Docker, ECR, ECS/EKS)<br>2+ years of experience with Authority to Operate (ATO) processes in government environments<br>Implementation of NIST 800-53 controls and security compliance for ML systems</span></li><li style=\"margin-top: 12pt; margin-bottom: 12pt; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; color: rgb(36, 36, 36) !important; background-color: white !important; font-size: 16px;\"><span style=\"border: 0px; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; line-height: inherit; font-family: Calibri, sans-serif; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; margin: 0px; padding: 0px; vertical-align: baseline; color: inherit;\">Experience deploying models in air-gapped or disconnected environments<br>Familiarity with multimodal evaluation benchmarks (MMMU, MMBench, GQA, or domain-specific equivalents)<br>Publications or demonstrated contributions in computer vision, VLMs, or multimodal AI<br>Experience with synthetic data generation for training data augmentation<br>Complete items below line after a partner is selected</span></li></ul><p><span style=\"font-size: 16px;\">Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law. #LI-AA1&nbsp;</span></p><p><br></p></div>\n",
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GET https://api.bluedoor.sh/job-postings/v1/jobs/ca015287fe51644b9bb627c42c4269cab215c93b?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/94c0a210-72b0-4934-a576-eaeec981c518JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/08ad9031-051f-485a-9dd2-2c69aa7b0a29JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/ca015287fe51644b9bb627c42c4269cab215c93b/eventsJSON

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