Machine Learning Engineer

UnitX Labs
United States
Workplace: OnsiteFull timeUSD 174,304 - 200,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Collaboration"]

Develop and optimize deep learning models for defect detection and segmentation using high-resolution images and 3D sensor inputs. Build automated data and training pipelines, then deploy and maintain production-ready ML systems across edge devices and cloud to support real-time decisions. Collaborate with software, robotics, and hardware teams, monitor model drift and reliability, and build evaluation and interpretability tools using A/B testing and XAI for continuous quality improvements.

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FursaFursa
UnitX Labs
UnitX Labs
2 months ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Develop and optimize deep learning models for defect detection and segmentation using high-resolution images and 3D sensor inputs. Build automated data and training pipelines, then deploy and maintain production-ready ML systems across edge devices and cloud to support real-time decisions. Collaborate with software, robotics, and hardware teams, monitor model drift and reliability, and build evaluation and interpretability tools using A/B testing and XAI for continuous quality improvements.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, train, and optimize deep learning models for defect detection and segmentation using high-resolution images and 3D sensor inputs.
  • •Develop and maintain automated pipelines for data preprocessing, augmentation, and model training.
  • •Deploy and maintain production-ready ML pipelines on edge devices and cloud systems, optimizing inference for real-time decision-making under 20 ms.
  • •Collaborate cross-functionally with software engineers, robotics specialists, and hardware teams to integrate ML into industrial workflows.
  • •Implement monitoring and alerting for model drift and failures; build evaluation and interpretability tools using metrics, dashboards, A/B testing, and XAI.

Pay and Benefits

Salary: USD 174,304 - 200,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid LeaveMeal Allowance

Key Requirements

  • •Bachelor's degree in Computer Science, Mathematics, Statistics, or a closely related field (or foreign equivalent).
  • •3+ years of experience in the job offered or a related occupation.
  • •3+ years hands-on experience with deep learning and neural networks.
  • •Experience building ML pipelines and working on machine learning model training and deployment.
  • •Experience with sensor fusion/signal processing, computer vision, real-time inference optimization, and statistical modeling/A-B testing.
Experience:3+ years
Education:Bachelor's in Computer Science, Mathematics, Statistics
Skills:Collaboration
Tech Stack:Deep learningNeural networksMachine learning pipelinesSensor fusionSignal processingComputer visionReal-time inferenceStable DiffusionSegment Anything Model (SAM)Transformer-based architecturesEdge devicesCloudA/B testingExplainable AI (XAI)Self-supervised learningDomain adaptationMultimodal data fusionReinforcement learningGenerative AI

Company Brief

UnitX Labs
UnitX Labs develops custom software solutions and platform products focused on modern enterprise needs, including cloud-native applications, data engineering, and automation tools to help organizations accelerate digital transformation.
Industry: SaaS
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