6 Senior Machine Learning Engineer AI Research jobs in whatjobs
Senior Machine Learning Engineer (AI Research)
Posted 20 days ago
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Job Description
Key Responsibilities:
- Design, implement, and deploy advanced machine learning models and algorithms for various applications.
- Conduct cutting-edge research into new ML techniques and their potential applications.
- Develop and optimize production-level ML pipelines for training, evaluation, and deployment.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, in a remote setting.
- Architect and build scalable, robust, and efficient ML systems.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Mentor and guide junior machine learning engineers and data scientists.
- Evaluate and integrate new technologies and tools to improve ML capabilities.
- Contribute to the company's intellectual property through publications and patents.
- Ensure the ethical and responsible development and deployment of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of progressive experience in machine learning engineering or research.
- Proven track record of developing and deploying complex ML models in production environments.
- Expertise in programming languages such as Python, and ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of deep learning architectures, natural language processing (NLP), computer vision, or reinforcement learning.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and interpersonal skills for effective collaboration in a remote team.
- Demonstrated leadership capabilities and experience mentoring others.
- Strong understanding of data structures, algorithms, and software design principles.
- Commitment to reproducible research and rigorous scientific methodology.
- A passion for pushing the boundaries of AI and its real-world applications, while based anywhere, your impact is felt globally.
Senior Machine Learning Engineer (AI Research)
Posted 20 days ago
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Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning algorithms and models for various applications.
- Conduct research into new ML techniques, including deep learning, reinforcement learning, and natural language processing.
- Build and maintain robust ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Collaborate with data scientists and domain experts to define project requirements and translate business needs into technical solutions.
- Optimize ML models for performance, scalability, and efficiency in production environments.
- Stay abreast of the latest research and developments in the field of artificial intelligence and machine learning.
- Contribute to the publication of research findings and the development of intellectual property.
- Mentor junior engineers and contribute to a culture of innovation and continuous learning.
- Evaluate and select appropriate tools, libraries, and frameworks for ML development.
- Ensure the ethical and responsible development and deployment of AI systems.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of professional experience in machine learning engineering or AI research.
- Proven expertise in developing and deploying ML models using frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong programming skills in Python, with experience in data manipulation and analysis libraries (e.g., NumPy, Pandas).
- Solid understanding of statistical modeling, algorithms, and data structures.
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads is highly desirable.
- Excellent problem-solving, analytical, and critical thinking abilities.
- Strong communication and collaboration skills, essential for a remote team environment.
- Demonstrated ability to lead complex ML projects from conception to production.
- Experience with big data technologies (e.g., Spark) is a plus.
Senior Machine Learning Engineer - AI Research
Posted 15 days ago
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Job Description
Responsibilities:
- Conduct research and develop novel machine learning algorithms and models.
- Implement, train, and optimize deep learning models using frameworks like TensorFlow or PyTorch.
- Experiment with various ML techniques for tasks such as computer vision, NLP, and reinforcement learning.
- Deploy and maintain ML models in production environments.
- Collaborate with research scientists and engineers on cutting-edge AI projects.
- Analyze large datasets and extract insights to inform model development.
- Stay abreast of the latest advancements in AI and ML research.
- Contribute to technical publications and presentations.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of experience in machine learning research and development.
- Proven experience in designing and implementing complex ML models.
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and Python.
- Strong understanding of algorithms, data structures, and statistical modeling.
- Experience with big data technologies and MLOps is a plus.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated ability to lead research projects and work effectively in a remote setting.
Senior Machine Learning Engineer - AI Research
Posted 5 days ago
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Job Description
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms.
- Conduct research and experimentation to advance the state-of-the-art in AI/ML.
- Process, clean, and transform large datasets for model training.
- Evaluate model performance and optimize for accuracy, efficiency, and scalability.
- Deploy ML models into production environments.
- Collaborate with cross-functional teams on AI projects.
- Stay current with the latest research papers, tools, and techniques in ML and AI.
- Contribute to the technical strategy and roadmap for AI initiatives.
- Mentor junior engineers and share knowledge within the team.
- Document research findings, algorithms, and code.
- Troubleshoot and resolve issues related to ML model performance and deployment.
Qualifications:
- Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 5 years of professional experience in machine learning engineering or research.
- Strong proficiency in programming languages such as Python, Java, or C++.
- Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Deep understanding of various ML algorithms (e.g., deep learning, reinforcement learning, NLP).
- Experience with data processing and big data technologies (e.g., Spark, Hadoop).
- Proven track record of deploying ML models into production.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for remote team environments.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Senior Machine Learning Engineer - AI Research
Posted 2 days ago
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Senior Machine Learning Engineer (AI Research)
Posted 3 days ago
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