Senior Machine Learning Engineer - Remote AI Research

Placements24; Willows (CA); Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Stock options

Health, dental, vision insurance

Fully remote work

Professional development budget

Home office stipend

Job summary

Placements24 is seeking a Senior Machine Learning Engineer for a fully remote role. You will design and deploy ML models across NLP, CV, and analytics, collaborating with researchers and engineers to bring research into production.

You will lead ML pipeline development, optimize models, and advance state-of-the-art techniques, while mentoring junior engineers and communicating findings to stakeholders. Flexible remote work with international collaboration.

Qualifications

• Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• Minimum of 5 years of professional experience in machine learning engineering or research.
• Proven track record of designing, building, and deploying sophisticated ML models in production environments.

Responsibilities

• Design, develop, and implement advanced ML models and algorithms for NLP, computer vision, and analytics.
• Research new ML techniques and experiment with cutting-edge frameworks.
• Build and maintain scalable ML pipelines for data preprocessing, training, evaluation, and deployment.
• Optimize ML models for performance, efficiency, and accuracy.
• Collaborate with researchers, data scientists, and software engineers to productionize research.
• Write clean, well-documented Python code using TensorFlow, PyTorch, and Scikit-learn.
• Stay updated on latest ML research and best practices.
• Participate in code reviews and knowledge sharing.
• Mentor junior engineers and contribute to a culture of technical excellence.
• Communicate complex results clearly to technical and non-technical stakeholders.

Skills

Python

ML frameworks

Software engineering

Communication

Education

Master's or PhD in CS/ML/AI

Tools

TensorFlow

PyTorch

Keras

Scikit-learn

Git

CI/CD

AWS/GCP/Azure

Job description

About the Role

Our client is a cutting-edge artificial intelligence research lab renowned for its groundbreaking work in machine learning and AI. We are expanding our global team and seeking a highly skilled Senior Machine Learning Engineer to join us in a fully remote capacity. This role offers the unique opportunity to work on challenging AI problems, contribute to novel algorithms, and develop state-of-the-art machine learning models. You will collaborate with world-class researchers and engineers from diverse backgrounds, pushing the boundaries of what's possible in AI. As a remote-first organization, we are committed to providing a flexible and productive work environment, empowering our team members to achieve exceptional results from anywhere in the world.

Key Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms for various applications, including but not limited to natural language processing, computer vision, and predictive analytics.
• Conduct research into new ML techniques, experiment with cutting-edge frameworks, and contribute to the development of novel AI solutions.
• Build and maintain robust, scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Optimize ML models for performance, efficiency, and accuracy, ensuring they meet stringent project requirements.
• Collaborate closely with AI researchers, data scientists, and software engineers to translate research concepts into production-ready systems.
• Write clean, well-documented, and efficient code in languages such as Python, leveraging libraries like TensorFlow, PyTorch, and Scikit-learn.
• Stay abreast of the latest research papers, industry trends and best practices in machine learning and artificial intelligence.
• Participate in code reviews, technical discussions, and contribute to the team's knowledge sharing efforts.
• Mentor junior engineers and contribute to a culture of technical excellence and innovation within the remote team.
• Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Requirements

• Master's or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Minimum of 5 years of professional experience in machine learning engineering or research.
• Proven track record of designing, building, and deploying sophisticated ML models in production environments.
• Strong proficiency in Python and extensive experience with ML frameworks such as TensorFlow, PyTorch, Keras, or similar.
• Deep understanding of various ML algorithms, including deep learning, reinforcement learning, and statistical modeling.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is highly desirable.
• Solid software engineering skills, including version control (Git) and CI/CD pipelines.
• Excellent problem-solving, analytical, and critical thinking abilities.
• Strong communication and collaboration skills, essential for a remote working environment.
• Demonstrated ability to work independently, manage time effectively, and deliver high-quality results in a distributed team setting.

Benefits

• Highly competitive salary and stock options.
• Comprehensive health, dental, and vision insurance coverage.
• Flexible working hours and a fully remote work arrangement.
• Generous budget for professional development, including online courses, conferences, and books.
• Opportunity to work on cutting-edge AI research with a world-class team.
• Home office setup stipend and technology allowance.
• Paid time off and company holidays.
• Retirement savings plan with company matching.