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Senior Machine Learning Engineer

Location:
Poland, Ukraine (Lviv, Cherkasy), Remote
Level:
Senior
English:
Project stage:

The project has passed the MVP phase. Application is deployed to prod. Active development continues in parallel with production support.

Project Overview

Join our team in developing an AI-driven telehealth application that enhances hospital patient monitoring.
We are taking part in the development of a healthcare startup.

This role focuses on leveraging machine learning and computer vision to predict and detect unwanted or dangerous behaviors, including fall detection, delirium recognition, and visual-based health condition monitoring along with noise recognition. 

Your expertise will contribute to reducing hospitals’ nursing staff workload and improving patient care by integrating sophisticated AI algorithms into 24-hour video surveillance. We are looking for a candidate ready to address the technical challenges of healthcare technology, creating solutions that make a tangible difference in patient safety and outcomes.

Technical Details:

Core AI/ML Technologies:

  • Primary Focus: Python, PyTorch, TensorFlow, OpenCV, ONNX
  • Secondary Tools: While familiarity with C++, OpenCV.js, ONNX Runtime JS, and TensorFlow.js is beneficial, it is not mandatory. We have a dedicated team of engineers skilled in JavaScript who support porting ML models to web and JavaScript runtime environments
  • Model Deployment: Experience with hardware-accelerated runtimes like Snapdragon Neural Processing Engine (SNPE) and corresponding toolchains for edge devices

Supporting Stack: While our broader product ecosystem includes TypeScript/JavaScript, Node.js, React, MySQL and AWS, deep knowledge of these technologies is not a prerequisite. A basic understanding or willingness to learn may be helpful for cross-functional collaboration.

Architecture: We maintain a service-oriented architecture focusing on edge computing, utilizing smart cameras and real-time data processing.

Job Highlights:
  • The application is in production
  • Development practices on the project include code review, build-in quality, unit-testing and integration testing, End-to-end automated testing, CI, release on-demand
  • Working in a distributed multinational team in a different time zone. The approximate work schedule is from 11:00 AM to 7:00 PM CET
Team Composition:

Team composition: 5 SE, 2 QA, 2 ML, AQA, UI/UX designer, DevOps

Client-side team structure: Product Owner, 3 SE

Responsibilities
  • Model Research, Training, and Optimization: Conduct research to identify the most effective ML models, taking charge of their training and fine-tuning to solve business problems with high accuracy. Optimize these models for peak performance, particularly on edge devices with limited resources
  • Solution Development & Prototyping: Collaborate with stakeholders to define user needs and prototype viable solutions. Test and integrate these solutions within our web-based ecosystem, working closely with our development team
  • Requirement Clarification & Communication: Translate stakeholder needs clearly into technical requirements and communicate effectively in English, accommodating varying levels of fluency
  • Data Management: Oversee dataset preparation, ensuring data quality for model development. Employ optimization strategies for high-performance algorithm execution, particularly for edge computing
  • Validation: Partner with UI/UX and Product Owner to ensure solutions meet business and user experience standards. Set up metrics and experiments to confirm the feasibility of the proposed technical approaches
  • Evaluation & Testing: Conduct rigorous testing of algorithms and models to ensure they meet our standards of reliability and efficiency, with a particular focus on suitability for edge device deployment
  • Research & Continuous Learning: Stay up to date with the latest advancements in AI/ML, incorporating cutting-edge research and industry insights to tackle complex problems and foster innovation within solution development

Qualifications
  • Solid software engineering experience with a strong emphasis on AI and machine learning
  • Expertise in computer vision, including developing algorithms for object detection and analysis
  • Proficiency in Python and familiarity with JavaScript and C++ are advantageous
  • Experience with TensorFlow, OpenCV, and knowledge of models like PoseNet and Coco SSD is beneficial
  • Solid understanding of deep learning techniques and experience with convolutional neural networks (CNNs), recurrent neural networks (RNNs) and similar architectures
  • Skills in data preprocessing and feature extraction for robust ML model development
  • Experience in optimizing algorithms for efficiency on various hardware platforms
  • Proven ability to train, fine-tune, evaluate ML models and to select optimal solutions
  • Excellent analytical and problem-solving abilities with a keen eye for detail
  • Good communication skills in English, with upper-intermediate level preferred for effective team collaboration
Workflow
  • 2-week sprint. The process's input will be sprint backlog, output - functionality increment. The focus here is on the predictable delivery of defined pieces of functionality
  • Continuous exploration process. The input of this process is some custom feature, improvement idea, or need. Output is a team backlog planned through sprints

Our Benefits

Work & Life Balance

20 paid working days off
Soulful corporate events and team buildings
Opportunity to work remotely

Work Environment

All the necessary equipment
A comfortable and modern office
Accounting services
Relocation reimbursement

Health & Wellness

Health insurance
$600 extra for the health care, sports or mental health
10 working days of sick leave

Professional Development

$600/year you can spend on:
Courses, trainings, seminars
Improvement of qualification/ certification
English lessons

[ our values/ ]

What Keeps Us Sharp and Steady

We cut the fluff and keep it real—owning our work, refining our craft, and always leveling up. No excuses, just a team that’s in it together, pushing boundaries and delivering results.
Pragmatic

Pragmatic

Theory’s cute, but results pay the bills. Perfect’s a fairy tale—done right is what counts.
Adult

Adult

No drama, no sugarcoating. We own our wins and our screw-ups, and treat failure like free tuition.
Craftspeople

Craftspeople

We’re not assembly-line coders. We build, we refine, and we don’t put a fresh coat of paint on bad code.
Forever Learners

Forever Learners

Falling behind? We leave that to others. Leveling up fast, chasing down answers, and never settling for “I don’t know.”
Great Allies

Great Allies

No lone wolves here. We listen before we talk, communicate like grown-ups, and make the ride better for everyone.

[ global team, remote freedom/ ]

Headquartered in the USA and Ukraine, but our team? We're everywhere.

We’re fully remote, so you can work wherever you’re most productive.
Costa Rica
Team Hub
USA
Strategic & Office & Team Hub
Spain
Strategic & Team Hub
Poland
Strategic & Team Hub
Romania
Team Hub
Ukraine
Office & Team Hub
Costa Rica
Bulgaria
Team Hub
Georgia
Team Hub
Armenia
Team Hub
Lviv
Myroslava Skoryka Street, 31, Lviv, Ukraine, 79000
diana.zherebetska@mev.com
Cherkasy
Pushkina Street, 100, Cherkasy, Ukraine, 18000
vladyslava.korol@mev.com
Walnut Creek
1212 Broadway Plaza, Walnut Creek, California, USA
solutions@mev.com

FAQs

Got questions? No worries, we've got all your answers covered in our FAQ!

Absolutely! We offer flexible remote work options, so you can work from anywhere worldwide. Prefer the office vibe? We’ve got a modern, comfy workspace in Ukraine, fully equipped with everything you need.

We have a structured onboarding process to make your transition smooth and welcoming. You’ll have access to mentors, detailed resources, and a supportive team to help you hit the ground running.

We conduct performance reviews every six months to assess your achievements, align your goals with the company’s vision, and identify growth opportunities. During these reviews, you’ll:

  • Get a clear picture of your strengths and areas to improve
  • Receive feedback on your performance and productivity
  • Set goals that align with your career path and the company’s strategy

At MEV, we’re all about continuous learning and growth. Here’s what a typical path looks like for a Software Engineer:

  • Junior Engineer: Build foundational skills like bug fixing and documentation with guidance from senior team members.
  • Mid-level Engineer: Take on more complex tasks, mentor junior engineers, and play a bigger role in problem-solving and code optimization.
  • Senior Engineer: Lead projects, tackle high-level technical challenges, and align technical work with business goals. You’ll also mentor others and drive innovation within the team.
  • Staff Engineer: Lead large-scale projects, design system-wide architectures, and manage multi-team efforts. You’ll mentor senior engineers and steer the technical strategy.

At every step, your responsibilities grow—and so does your impact. Regular reviews and professional development opportunities keep you moving forward.

We believe in open, transparent communication and a collaborative culture. Regular team meetings, project updates, and social events keep everyone connected and engaged.

We’re big on balance. Here’s what we offer:

  • 20 paid vacation days per year
  • 10 sick days
  • Flexible working hours

Your well-being matters to us. We offer:

  • Comprehensive health insurance
  • $600 annually for healthcare, sports, or mental health support

We invest in your growth. You’ll get $600 annually to spend on:

  • Courses, trainings, and seminars
  • Professional certifications
  • English lessons

Our culture is built on mutual respect, continuous learning, and a passion for innovation. We value diversity, creativity, and a good sense of humor. We’re a team of professionals who support each other, celebrate successes, and challenge ourselves to grow.

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