Aloha Browser30.01.26
AI SCORE 8.5

Senior Machine Learning Engineer - Remote Opportunity

$90K–$120K/year

About the Role

We are seeking a Senior Machine Learning Engineer to join our innovative team at Aloha Browser. This remote position offers the flexibility to work from anywhere within the European Economic Area or from our office in Limassol, Cyprus. You will focus on developing advanced machine learning models with a strong mathematical foundation, optimizing them for mobile environments.

What You'll Do

  • Develop and deploy machine learning models in production environments.
  • Adapt and optimize research for mobile platforms, ensuring high performance and efficiency.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing products.
  • Conduct experiments and analyze data to improve model accuracy and performance.
  • Maintain clean, modular code and prioritize production-ready work.

Requirements

  • Master's degree in Computer Science, Applied Mathematics, Physics, or equivalent.
  • Deep understanding of modern ML architectures, including Transformers and Neural Networks.
  • Proven experience in deploying models to production.
  • Fluency in Russian is required.
  • Entry-level experience in machine learning or data science roles.

Nice to Have

  • Experience with mobile deployment using CoreML for iOS and TFLite/ONNX for Android.
  • Familiarity with optimization techniques such as QAT, pruning, and distillation.
  • Background in LLM fine-tuning, Recommender Systems, or Reinforcement Learning.
  • Knowledge of C++, Swift, or Kotlin for systems coding.
  • Experience with MLOps tools like MLflow and GitHub Actions.

What We Offer

  • Competitive salary ranging from $90,000 to $120,000 per year.
  • Full relocation support to Cyprus for those choosing in-office work.
  • Flexible remote work options within the European Economic Area.
  • Comprehensive benefits package including health insurance and paid time off.
  • Opportunities for professional development and career advancement.
Language Requirements
RussianC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Machine Learning Engineer role at Aloha Browser offers a unique opportunity to work remotely while developing cutting-edge machine learning models. With competitive salary and relocation support, it's an attractive position for data science professionals.

Salary Range
Required
0/1
Optional
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Bonus
0/1

About Aloha Browser

Explore Aloha Browser careers in 2026 with exciting job openings across remote, hybrid, and office roles. Utilize our advanced filters to narrow your search, track your applications seamlessly, and gain valuable company insights. Discover your ideal position at Aloha Browser and take the next step in your career journey today. Join us in shaping the future of browsing technology!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficiency in Python and C++ for developing robust machine learning algorithms, along with hands-on experience in mobile frameworks such as CoreML and TFLite for deployment in mobile applications.

Self-motivated and disciplined work ethic to thrive in a remote environment, with a strong ability to manage time effectively and meet deadlines independently while collaborating asynchronously with global teams.

Strong mathematical and statistical foundation, enabling the candidate to understand and implement complex machine learning models and optimizations, particularly in mobile contexts using ONNX for model interoperability.

Learning Resources

Machine Learning with Python: From Linear Models to Deep Learningcourse

Career Path

Senior Machine Learning Engineer(Now)Lead Machine Learning Engineer(1-2 years)Machine Learning Architect(3-5 years)

Market Overview

Market Size 2024
$43B
Annual Growth
38.0%
AI Adoption
55%
Investment
+150%
Labour Demand
+40%
Avg Salary
$130K

Skills & Requirements

Required
Machine LearningPythonC++
Growing in Demand
Deep LearningNatural Language Processing (NLP)Cloud ML Services (AWS SageMaker, Google AI Platform)
Declining
R ProgrammingMatlab

Domain Trends

Increased Focus on MLOps
Organizations are investing in MLOps to streamline model deployment and monitoring, with 60% of enterprises adopting MLOps practices by 2025.
Rise of Edge AI
The demand for edge AI solutions is growing, with a projected market size of $9B by 2025, allowing ML models to run on devices rather than relying on cloud computing.
Integration of AI in Mobile Apps
The integration of AI capabilities in mobile applications is increasing, with 70% of app developers planning to incorporate ML features in their products by 2024.

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