Talantix.io
pHera•23.02.26
AI SCORE 8.5

Computer Vision and Machine Learning Engineer - Remote

$80K–$100K/year
RemoteFemTech
Computer Vision•Machine Learning•Python•OpenCV•TensorFlow•Image Processing

About the Role

We are seeking a talented Computer Vision and Machine Learning Engineer - Remote to join our innovative team at pHera. As a pre-seed femtech startup, we are developing an ultra-precise colorimetric vaginal pH test that can be read using a cellphone camera and machine learning for accuracy. This role is pivotal in implementing computer vision algorithms and integrating machine learning models to deliver lab-quality diagnostic precision to women and doctors anytime, anywhere!

What You'll Do

  • Implement computer vision algorithms for color detection from captured images.
  • Integrate machine learning models for accurate pH prediction based on color detection.
  • Ensure performance across different smartphone devices and lighting conditions.
  • Collaborate with a cross-functional team to refine product features and enhance user experience.
  • Conduct experiments and analyze data to improve algorithm accuracy.
  • Stay updated with the latest advancements in computer vision and machine learning technologies.

Requirements

  • Proven experience in computer vision and machine learning, with a focus on image processing.
  • Strong programming skills in Python and familiarity with libraries such as OpenCV and TensorFlow.
  • Experience with mobile application development is a plus.
  • Ability to work independently and manage multiple tasks in a fast-paced environment.
  • Excellent problem-solving skills and a proactive attitude.

Nice to Have

  • Experience in the healthcare or femtech industry.
  • Familiarity with colorimetric analysis and diagnostic tools.
  • Knowledge of cloud computing platforms for model deployment.

What We Offer

  • Flexibility to choose freelance, part-time, or full-time work.
  • Hybrid work environment with office space in Berlin or remote within the EU time zone.
  • A competitive salary for 6 months with the possibility of extension.
  • Opportunity to work in an early-stage, science-driven startup focused on female health.
  • Supportive team culture that values innovation and collaboration.
Why This Job8.5 of 10

This remote Computer Vision and Machine Learning Engineer position at pHera offers a unique opportunity to work on innovative femtech solutions. With a competitive salary and flexible working conditions, it's perfect for those passionate about women's health.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in implementing computer vision algorithms using OpenCV and TensorFlow, with hands-on experience in developing image processing techniques tailored for diagnostic applications.

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Self-motivated and highly organized, capable of thriving in a fully remote environment, demonstrating excellent time management skills to balance multiple projects and deadlines effectively.

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Strong analytical mindset with a focus on continuous improvement, leveraging data-driven insights to enhance machine learning models and ensure high accuracy in diagnostic results.

Learning Resources

→OpenCV Python Tutorialsguide
→Deep Learning for Computer Vision with TensorFlowcourse
→Computer Vision Basicsarticle

Career Path

Computer Vision and Machine Learning Engineer - Remote(Now)→Machine Learning Engineer - Senior(1-2 years)→Lead Data Scientist(3-5 years)

Market Overview

Market Size 2024
$11.2B
Annual Growth
30.5%
AI Adoption in Computer Vision
75%
Investment in Computer Vision Startups
+150%
Labour Demand for Computer Vision Engineers
+45%
Avg Salary for Computer Vision Engineers
$120K

Skills & Requirements

Required
Computer VisionMachine LearningPython
Growing in Demand
Deep Learning3D Computer VisionData Augmentation
Declining
Traditional Image Processing TechniquesHaar Cascades

Domain Trends

Increased Use of Deep Learning
Deep learning models are becoming the standard for computer vision tasks, with a 50% increase in their adoption in commercial applications over the last year.
Integration with Edge Computing
The shift towards edge computing is driving a 40% growth in demand for real-time computer vision applications, particularly in IoT devices.
Focus on Ethical AI and Bias Mitigation
Companies are increasingly prioritizing ethical AI practices, with 60% of organizations implementing bias detection in their computer vision systems to ensure fairness.

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