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 …

Candidates should possess a Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field, along with proven experience in developing, optimizing, and deploying ML systems in production environments. Strong proficiency in Python, coupled with expertise in ML frameworks such as TensorFlow or PyTorch, is required, alongside extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases. Clear communication skills …

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 must have 7+ years of ML engineering experience, with at least 2 years in a technical leadership role. A Bachelor's or Master's degree in Computer Science or equivalent experience is required. Deep expertise in large-scale personalization systems, modern ML architectures (two-tower, transformer-based, graph neural networks), and strong system design skills for ML infrastructure are essential. Proven ability to mentor engineers, drive technical decisions, and manage stakeholder relatio…

Candidates must have 7+ years of experience in ML engineering, with at least 2 years in a technical leadership role. A Bachelor's or Master's degree in Computer Science or equivalent experience is required. Deep expertise in large-scale personalization systems, modern ML architectures (e.g., two-tower, transformer-based, graph neural networks), and strong system design skills for ML infrastructure are essential. Proven ability to mentor engineers, drive technical decisions, manage stakeholder re…

Candidates must have 7+ years of ML engineering experience, with at least 2 years leading technical teams. A Bachelor's or Master's degree in Computer Science or equivalent experience is required. Deep expertise in large-scale personalization systems, modern ML architectures (two-tower, transformer-based, graph neural networks), and strong system design skills for ML infrastructure are essential. Proven ability to mentor engineers, drive technical decisions, manage stakeholder relationships, and…

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 have 7+ years of experience in ML engineering, with at least 2 years leading technical teams. A Bachelor's or Master's degree in Computer Science or equivalent experience is required, along with deep expertise in large-scale personalization systems and modern ML architectures such as two-tower, transformer-based, and graph neural networks. Strong system design skills for ML infrastructure, proven ability to mentor engineers and drive technical decisions, and experience managing…

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…

Candidates must have 7+ years of experience in ML engineering, with at least 2 years leading technical teams. A Bachelor's or Master's degree in Computer Science or equivalent experience is required. Deep expertise in large-scale personalization systems, modern ML architectures (two-tower, transformer-based, graph neural networks), and strong system design skills for ML infrastructure are essential. Proven ability to mentor engineers, drive technical decisions, manage stakeholder relationships, …

Candidates must have 7+ years of experience in ML engineering, with at least 2 years leading technical teams. A Bachelor's or Master's degree in Computer Science or equivalent experience is required, along with deep expertise in large-scale personalization systems and modern ML architectures like two-tower, transformer-based, and graph neural networks. Strong system design skills for ML infrastructure, proven ability to mentor engineers, drive technical decisions, and manage stakeholder relation…

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…