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Machine Learning Engineer

1 month ago
United States
Full-time
Mid Level
Machine Learning Engineer
Software Development
AWS Azure Computer Vision Deep Learning Feature Engineering GCP Jupyter Machine Learning Matplotlib MLOps NumPy Pandas Python PyTorch SQL TensorFlow
Apply Now
FloVision Solutions

FloVision Solutions

FloVision Solutions integrates automated systems and compact sensors to optimize food production, reduce waste, increase yield, and enhance quality for food processors and providers.

Internet Software & Services
1-10
Founded 2020
$1M raised
View All Jobs 2

Description

  • Build and maintain ETL pipelines for structured and unstructured data used in machine learning applications.
  • Clean datasets and perform feature engineering to support model development.
  • Annotate and review image data as a core part of the machine learning workflow.
  • Use Python, SQL, and statistical analysis to explore data and generate actionable insights.
  • Train, fine-tune, evaluate, and experiment with deep learning models for computer vision use cases.
  • Own machine learning outcomes end to end, from data quality and model performance to deployment and product impact.
  • Collaborate with annotation, machine learning, software engineering, hardware, product, and data teams to improve workflows and productionize models.
  • Deploy, monitor, and maintain models in production environments.
  • Help make machine learning processes and results accessible to teams across the company.
  • Make independent technical decisions and drive projects forward with autonomy.

Requirements

  • Bachelor’s degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience.
  • 3+ years of experience across the machine learning or data science lifecycle, with a focus on computer vision.
  • Experience applying semantic segmentation to a real-world business or production use case.
  • Strong Python skills and experience with tools such as PyTorch or TensorFlow, Jupyter, pandas, NumPy, and Matplotlib.
  • Experience using AI-assisted development tools thoughtfully to improve productivity, quality, and speed.
  • Experience performing statistical analysis and rigorously evaluating machine learning models.
  • At least 2 years of experience with a major cloud platform such as AWS, GCP, or Azure.
  • Working knowledge of MLOps practices for deploying, monitoring, and maintaining production machine learning systems.
  • Strong analytical, programming, and problem-solving skills.
  • Ability to work in a fast-paced startup environment and balance speed with quality standards.
  • Strong communication and collaboration skills with cross-functional teams.
  • Preferred: experience developing and deploying computer vision models for image classification and object detection.
  • Preferred: experience deploying models at the edge, including GPU optimization and resource-constrained devices.
  • Preferred: familiarity with image annotation platforms such as FiftyOne or Roboflow.
  • Preferred: experience designing, building, or maintaining ETL pipelines.
  • Preferred: experience fine-tuning deep learning models.
  • Preferred: ability to lead early-stage research projects amid ambiguity and evolving requirements.
  • Preferred: experience deploying and supporting edge models in live industrial environments.
  • Preferred: image-matching or image-similarity experience.
  • Preferred: previous experience at an early-stage startup.
  • Preferred: deep learning side projects that demonstrate curiosity or technical depth.
  • Application requirement: submit a 1-2 minute intro video with the application; applications without a video will not be considered.

Benefits

  • Remote-first work environment with flexible work hours.
  • U.S. remote salary range of $90,000-$115,000.
  • Home office stipend.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • 401(k) plan.
  • Health Savings Account (HSA).
  • Comp days for required weekend travel.

Interested in this position?

Apply directly on the company website

Apply Now

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