Senior Machine Learning Engineer

Graylight Imaging; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Group insurance

Medicover healthcare

Hybrid working and flexible hours

Opportunities to publish in journals

Job summary

Graylight Imaging seeks a Senior Machine Learning Engineer to design and implement systems processing medical imaging data using deep learning methods. You will conduct experimental research on CNN/UNet models, validate algorithms across development stages, and collaborate with engineers and clients to deliver scalable solutions.

The role requires a PhD or equivalent in CS/statistics/math, 3+ years in ML, strong Python, PyTorch, and image processing skills, plus AWS, MLOps, and English at C1

Qualifications

• PhD in computer science/statistics/mathematics is a plus
• Minimum 3 years of experience in ML
• Strong knowledge of visualization, data exploration and analysis (numerical and image)
• Solid understanding of statistics, mathematics and ML
• Familiarity with deep learning practices and neural networks (CNN, UNet)
• Proficiency in Python and image processing/analysis
• Ability to implement and verify ML literature methods
• Clear communication and ability to present solutions
• Independent, proactive, and organized with good time management
• Strong English skills (C1)

Responsibilities

• Design and implement systems processing medical data with ML methods
• Conduct experimental research on deep neural networks for image data
• Validate and evaluate algorithms across all software development phases
• Create project documentation and reports from experiments
• Collaborate with software engineers and clients on technical solutions
• Analyze business requirements and design architecture for testing and implementation
• Mentor and supervise ML engineers on the team
• Perform project tasks in collaboration with engineers and clients
• Share knowledge and drive process improvements within the team

Skills

Python

PyTorch

Numpy

OpenCV

CNN

UNet

Image processing

GPU processing

MLOps

AWS

English (C1)

Education

PhD in computer science/statistics/mathematics

Tools

MLFlow

Weights & Biases

SageMaker

ITK/VTK (Nice to have)

Jupyther notebook

Job description

At Graylight Imaging, we develop medical technologies, particularly for analyzing medical imaging studies. In addition to commercial projects, we conduct our own R&D and build machine learning algorithms for cardiology. As a member of our team, you’ll contribute to solving problems that no one has solved before, with the goal of making a real difference in people’s health and lives.

Job position: Senior Machine Learning Engineer
Level: senior
Job: remote

Information about the job

Who are we looking for?

We’re seeking a Senior Machine Learning Engineer to join our team. You’ll work daily with Senior Machine Learning Engineers, a Machine Learning Architect, and a client based in the US. About the project: We’re applying our expertise from medical projects to image data from a completely different industry – a major challenge, but also an incredibly interesting project where we’ve already achieved significant success!

PLN 13,000 – PLN 20,500 gross (employment contract) PLN 103/hour – PLN 164/hour net (B2B contract)

What does a Senior Machine Learning Engineer do?

• design and implementation of systems processing medical data, in particular designing systems using machine learning methods
• conducting experimental research of designed algorithms, in particular deep neural networks used to process image data
• validation and evaluation of the correctness of algorithms in each phase of software development, from proof-of-concept verification, through prototype development
• creation of project documentation, including reports from conducted experiments
• cooperation with software engineers and clients to develop technical solutions and components in IT projects
• analysis of business requirements and design of technical architecture for testing and implementing comprehensive solutions
• mentoring and substantive supervision of the work of machine learning engineers
• carrying out tasks assigned within projects in cooperation with other machine learning engineers and clients
• preparation of knowledge exchange and process optimization in the team

What do we expect from you?

• higher technical education (PhD in computer science/statistics/mathematics will be an additional asset)
• min. 3 years of experience in the area of ML
• very good knowledge of visualization techniques, data exploration and analysis (especially numerical and image)
• knowledge in the field of statistics, mathematics
• knowledge in the field of machine learning (especially deep learning)
• very good knowledge of neural network architectures, including CNN, UNet
• good knowledge of Python
• very good knowledge of image processing, signal analysis and analysis of algorithms
• ability to efficiently implement and verify literature methods, in particular those related to machine learning
• understanding the advantages and disadvantages of algorithms based on machine learning and the ability to present developed solutions in a comprehensible and comprehensive manner
• independence, proactivity, openness to change, communication skills, analytical thinking
• ability to effectively organize work and manage time
• very good knowledge of English – min. C1
• Python
• Pytorch, Numpy,
• OpenCV
• 3D/4D/nD data processing
• GPU processing
• MLOps (MLFlow or Weights and Biases)
• AWS (batch jobs, SageMaker AI, EC2, S3, EFS, CloudWatch etc.)
• Nice to have: ITK/VTK/PyVista, jupyther notebook

What can you find at our company?

• fascinating projects – you can make a real impact on people’s health and lives
• high technical standards across our projects—you’ll really spread your wings here
• great people with a proactive approach to work
• events and team-building activities—we enjoy spending time together
• group insurance
• medicover healthcare
• hybrid working and flexible hours
• opportunities for ongoing collaboration with the scientific community and the chance to publish in scientific journals

Recruitment process:

• Interview with HR and the Team Lead of the team we’re recruiting for (approx. 1 hour)
• Technical assessment in ML and MLOps (approx. 2 hours)
• Technical assessment in Python (approx. 1 hour)
• Decision

Join us! Be GRAYt with us!

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