Machine Learning Research Engineer

Boston, MA-%LABEL POSITION TYPE REMOTE ANY%

MindTech

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Mindtech is a leader in providing end-to-end software outsourcing solutions, bridging the gap between Latin American talent and global companies. Our team excels in delivering innovative and cutting-edge technologies to clients worldwide. We are looking for a passionate and skilled Machine Learning Research Engineer to join our growing team in Boston and help us push the boundaries of AI and machine learning.

Role Overview:

As a Machine Learning Research Engineer at Mindtech, you will be at the forefront of developing and applying state-of-the-art machine learning techniques. You will work closely with data scientists, engineers, and product teams to create models that solve complex real-world problems. The ideal candidate will have a strong academic and research background in machine learning, hands-on experience in model development, and a passion for experimenting with innovative AI techniques.

Key Responsibilities:

  • Research, design, and implement cutting-edge machine learning models for various applications.
  • Collaborate with cross-functional teams to translate business needs into practical ML solutions.
  • Develop scalable machine learning algorithms and optimize model performance.
  • Stay up to date with the latest advancements in AI and machine learning, integrating new methods into ongoing projects.
  • Conduct thorough experimentation and analysis to validate model effectiveness.
  • Build, train, and evaluate models using large datasets, ensuring robustness and accuracy.
  • Write research papers and technical documentation to present findings internally and externally.
  • Contribute to the overall architecture and design of machine learning systems.

Requirements:

  • Educational Background: PhD in Machine Learning, Artificial Intelligence, Computer Science, Data Science, or a related field is required.
  • Experience:
    • Proven research experience with hands-on experience in designing and implementing ML models.
    • Experience with deep learning frameworks (TensorFlow, PyTorch) and classical ML libraries (Scikit-learn).
    • Solid experience in Python and familiarity with data manipulation tools (Pandas, NumPy).
  • Skills:
    • Strong understanding of supervised and unsupervised learning techniques.
    • Proficiency in model evaluation, optimization, and hyperparameter tuning.
    • Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying machine learning models.
    • Excellent problem-solving skills and ability to work with large, complex datasets.
    • Strong communication skills for effectively presenting complex concepts to both technical and non-technical stakeholders.

Nice to Have:

  • Experience with reinforcement learning, natural language processing, or computer vision.
  • Published research in high-impact ML/AI conferences or journals.
  • Familiarity with MLOps and CI/CD pipelines for ML models.

Why Join Mindtech?

  • Work with a diverse and talented global team.
  • Opportunity to work on cutting-edge AI projects.
  • Access to continuous learning and development opportunities.
  • Competitive salary and benefits.

Ready to push the boundaries of machine learning? Join us at Mindtech in Boston and make an impact!


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Tags: Architecture AWS Azure CI/CD Computer Science Computer Vision Deep Learning GCP Machine Learning ML models MLOps NLP NumPy Pandas PhD Pipelines Python PyTorch Reinforcement Learning Research Scikit-learn TensorFlow Unsupervised Learning

Perks/benefits: Career development Competitive pay Conferences

Regions: Remote/Anywhere North America
Country: United States

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