Remote Machine Learning Engineer Jobs

Candidates should possess a Bachelor’s degree in a technical field and a minimum of 8 years of industry experience, with a PhD in a relevant field potentially counting for up to 2 years of experience. Proficiency in machine learning, including Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration, is required, alongside domain knowledge in credit risk, portfolio management, learning to rank, and personalization, which is considered a plus. Strong engineering …

The Senior Staff Software Engineer, Machine Learning requires 10+ years of experience as a Machine Learning Engineer or Data Scientist, extensive experience building performant machine learning systems at scale, and a strong product sense with a passion for user-driven applications. Candidates should also be able to thrive in ambiguous environments and be excited about solving complex problems.

Candidates must possess a Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, or Mathematics. A minimum of 7 years of experience in data science and machine learning, with a focus on real-time ML models, preferably in tech or marketplace environments, is required. Expertise in machine learning and deep learning, including a good working knowledge of large language models, is essential. Proven experience deploying impactful machine learning models into production, prof…

Candidates should possess a strong foundation in computer science, including knowledge of data structures, algorithms, and design patterns, along with experience in developing and maintaining production machine learning systems. Expertise in Python and cloud technology stacks like GCP or AWS is required, as well as an interest in architecting machine-learning platforms and a familiarity with tools such as Spark, Kubernetes, Airflow, and MLFlow.

Candidates should possess 8+ years of experience building production systems with at least 4 years focused on machine learning at scale, holding a Bachelor’s degree in Computer Science, ML, or a related field, with a Master’s degree or PhD preferred. They must have a proven track record of deploying and maintaining ML systems serving billions of requests, expertise in modern ML frameworks such as TensorFlow, PyTorch, and JAX, and strong foundations in distributed systems and cloud platforms, par…

The candidate should have strong experience in training large-scale machine learning systems, particularly in STT or related speech domains. Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect, as well as familiarity with ML lifecycle tools such as MLflow, is required. Experience building internal tools or dashboards for non-technical users is also necessary.

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience. They are expected to demonstrate exceptional problem-solving abilities and strong communication skills to influence decisions and drive alignment across teams. A minimum of 5 years of experience in building and delivering robust, scalable, and highly reliable services in production environments is required, along with a deep passion for technical exce…

Candidates must possess 8+ years of experience in applied Machine Learning, holding a Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Deep expertise in mainstream RecSys model architecture, strong proficiency in Python and ML frameworks like PyTorch, JAX, or TensorFlow, and extensive experience building performant machine learning systems at scale are essential. Excellent communication, collaboration, and problem-solving skills are req…

Candidates must possess a Master's or Ph.D. in Computer Science, Engineering, or a related field, with over 6 years of experience as a Machine Learning Engineer. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn is essential, alongside extensive experience with cloud platforms like AWS, GCP, or Azure and distributed computing frameworks like Spark and Kubernetes. A proven history of implementing end-to-end machine learning pipelines, model optimization, version…

Candidates must possess a PhD in Physics or a related field and have a deep understanding of machine learning algorithms and techniques, including experience in building and deploying models from scratch. Strong analytical and problem-solving skills are essential, along with a passion for the real-world application of machine learning and a desire to make a significant impact on large-scale business initiatives.

Candidates must possess a Master's or Ph.D. in Robotics, Computer Engineering, or a related field, with proficiency in both C++ and Python. A minimum of 4 years of experience in designing, training, and deploying ML models is required, along with a strong understanding of trajectory optimization, reinforcement learning, and imitation learning algorithms. Publications in Machine Learning or Robotics-related venues are also required. Bonus points include experience with autonomous driving applicat…