Machine Learning Research Engineer

Posted 2025-08-04
Remote, USA Full Time Immediate Start

This role is a stepping stone to great career achievements. We need a Machine Learning Research Engineer! This role is 100% remote, giving you full control over your work environment. This position requires a strong and diverse skillset in relevant areas to drive success. We believe in rewarding talent. The total rewards package for this role includes a competitive salary.

 


 

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! Apply Job!

 

Ready to Apply?

If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application.

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