Remote Senior Machine Learning Engineer

About the Role

WhatJobs Direct is actively seeking a highly experienced Senior Machine Learning Engineer to join our pioneering research and development division. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in designing, developing, and deploying advanced machine learning models that drive innovation across various scientific domains. This role demands a deep understanding of machine learning algorithms, statistical modeling, and software engineering best practices. You will collaborate with a distributed team of world-class researchers and engineers, contributing to projects that push the boundaries of artificial intelligence in scientific discovery.

As a Senior ML Engineer, you will mentor junior team members and contribute to the strategic direction of our AI initiatives, all within a remote-first culture that values collaboration and autonomy. We are looking for individuals passionate about solving complex problems with data, and who thrive in a dynamic, remote environment.

Key Responsibilities

• Design, develop, and implement scalable machine learning models and algorithms.
• Build and maintain robust data pipelines for training and deploying ML models.
• Collaborate with researchers and domain experts to define ML problems and solutions.
• Conduct rigorous experiments to evaluate model performance and identify areas for improvement.
• Deploy machine learning models into production environments, ensuring reliability and scalability.
• Mentor junior engineers and contribute to code reviews and best practices.
• Stay up-to-date with the latest advancements in machine learning research and tools.
• Document models, experiments, and deployment processes clearly and comprehensively.
• Contribute to the overall architecture and technical strategy of our ML platform.

Requirements

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering or a similar role.
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
• Experience with distributed computing frameworks (e.g., Spark) and cloud platforms (AWS, GCP, Azure).
• Solid understanding of deep learning architectures, reinforcement learning, and natural language processing.
• Experience in MLOps and model deployment strategies.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.
• Proven ability to deliver high-quality, production-ready code.

Benefits

• This fully remote role offers a competitive salary, comprehensive benefits package including health, dental, and vision insurance, and a generous retirement savings plan.
• You will have the flexibility to work from anywhere, supported by a collaborative and innovative team.
• Our client provides opportunities for continuous learning and professional development, including access to online courses and conference attendance.
• Performance-based bonuses and equity options may also be available.
• We foster a culture of work-life balance and support our remote employees with the resources they need to succeed.