Machine Learning Engineer - Research & Development

Placements24; Bloemfontein; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Highly competitive salary bonuses

Health & wellness benefits

Budget for professional development

Fully remote with flexible hours

Work on groundbreaking AI research

Job summary

Placements24 is seeking a talented Machine Learning Engineer to join our fully remote R&D team. You will explore novel ML techniques and apply them to forward-thinking problems, delivering cutting-edge AI capabilities from a distributed, collaborative environment.

You will design, prototype, and evaluate ML models, work with a multidisciplinary team, and contribute to research publications and conferences. This role offers flexible hours and strong growth opportunities in a remote-first setting.

Qualifications

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• 3+ years of experience in machine learning research and development.
• Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch).
• Solid understanding of ML techniques, including deep learning, reinforcement learning, and natural language processing.
• Experience with experimental design and evaluation of ML models.
• Excellent analytical and problem-solving abilities.

Responsibilities

• Research, design, and implement state-of-the-art machine learning algorithms and models.
• Develop prototypes and proof-of-concepts for new AI functionalities and applications.
• Collaborate with a multidisciplinary team of researchers and engineers to translate theoretical concepts into practical solutions.
• Optimize ML models for efficiency, scalability, and performance in research environments.
• Stay current with the latest advancements in ML research and identify opportunities for innovation.
• Contribute to the documentation and presentation of research findings.

Skills

Python

Machine Learning

Deep Learning

Reinforcement Learning

Natural Language Processing

Education

Master's or PhD in CS/AI

Tools

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a talented and driven Machine Learning Engineer to join their fully remote Research & Development team. This role is ideal for an individual passionate about exploring novel machine learning techniques and applying them to solve challenging, forward-thinking problems. You will work on cutting-edge projects, contributing to the development of next-generation AI capabilities. This is a unique opportunity to be part of a highly innovative, collaborative, and remote-first environment where your research and engineering skills will directly shape the future of our technology offerings.

Key Responsibilities

• Research, design, and implement state-of-the-art machine learning algorithms and models.
• Develop prototypes and proof-of-concepts for new AI functionalities and applications.
• Collaborate with a multidisciplinary team of researchers and engineers to translate theoretical concepts into practical solutions.
• Optimize ML models for efficiency, scalability, and performance in research environments.
• Stay current with the latest advancements in ML research and identify opportunities for innovation.
• Contribute to the documentation and presentation of research findings.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• 3+ years of experience in machine learning research and development.
• Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch).
• Solid understanding of various ML techniques, including deep learning, reinforcement learning, and natural language processing.
• Experience with experimental design and evaluation of ML models.
• Excellent analytical and problem-solving abilities.

Benefits

• Highly competitive salary and performance bonuses.
• Comprehensive health and wellness benefits.
• Generous budget for professional development, including conferences and publications.
• Fully remote work arrangement with flexible hours.
• Opportunity to work on groundbreaking AI research projects.