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  • Published on

    Harnham is looking for a Geospatial Machine Learning Engineer. In this role, you will harness the power of machine learning to interpret vast amounts of remote-sensing data and deliver actionable insights. You will develop and implement machine learning models tailored to remote sensing data and work collaboratively with a team of engineers and scientists.

  • Published on

    Freeday is looking for a Machine Learning Engineer to join our fast-growing AI team. In this role, you will design, develop, and implement machine learning models to drive our automated services, and collaborate closely with product and engineering teams to align efforts with business goals. The ideal candidate will have 1-3 years of experience, strong programming skills in Python, and familiarity with popular ML frameworks.

  • Published on

    Machine Learning Engineer

    Acceler8 TalentSan Jose, US

    Acceler8 Talent is looking for a Machine Learning Engineer to revolutionize hardware engineering with AI. You will develop and evaluate systems comprising LLMs, NLP models, and retrieval algorithms while optimizing models and addressing engineering constraints. Ideal candidates should have a strong understanding of NLP and LLMs, proficiency in PyTorch, and a proven track record in AI and data engineering.

  • Published on

    Meta is looking for a Research Scientist specializing in Machine Perception to join their team. This role involves collaborations with various experts to advance human understanding and action recognition while designing technical solutions in virtual and augmented reality contexts. The candidate should hold a PhD in a relevant field and possess experience in human-computer interaction, computer vision, and machine learning frameworks like PyTorch or TensorFlow.

  • Published on

    Acceler8 Talent is looking for a Machine Learning Engineer to join our innovative team, where you will play a crucial role in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. You will structure data for training complex models, optimize various models, and design innovative search and retrieval algorithms, all while maintaining a focus on engineering constraints such as latency and inference costs. You should have a strong understanding of NLP and LLMs, proficiency in PyTorch, and a proven track record in data engineering and AI.

  • Published on

    Acceler8 Talent is looking for a Machine Learning Engineer to develop and evaluate extensive systems involving interconnected LLMs, NLP models, and retrieval algorithms. You will structure data for model training, optimize models, and devise search algorithms, working within the engineering constraints of latency and inference costs. Success in this role requires strong NLP understanding, proficiency in PyTorch, and a passion for innovation in AI-driven hardware design.

  • Published on

    Harnham is looking for a Machine Learning Engineer to join their globally established entertainment company. The role involves working closely with a high-impact team on deep learning projects and innovative AI applications. The candidate should have 2+ years of hands-on experience, strong Python and debugging skills, as well as knowledge in designing and training models using PyTorch or TensorFlow. If you have a keen interest in the video, games, or film industry, we want to hear from you!

  • Published on

    Edison Smart® is looking for a Senior Machine Learning Engineer to join their R&D team, developing novel data solutions for Biotech applications like Oncology, Pathology & RNA-Seq. Key responsibilities include collaborating with scientists, engineers, and product teams to build and scale AI/ML models, taking projects from prototype to production-ready software, creating tools for training, testing, and optimizing AI/ML models, working across cloud and on-prem environments, and improving code quality and development speed. Required skills include a BS/BEng in Comp Sci or a relevant discipline, strong experience with software development, strong Python skills, and experience with deep learning frameworks like TensorFlow or PyTorch. Familiarity with version control systems such as Git and Docker is also necessary. Additional nice-to-have skills include experience with Neural Networks, Biotechnology/Bioinformatics, AWS, Kubernetes, and exposure to regulated medical software environments.

  • Published on

    Ansys is looking for a PhD Student for a CIFRE thesis in applied mathematics and computer science with a focus on machine learning. The candidate will develop new approaches to analyze, represent, and store high-precision simulation data obtained from complex meshes. Required skills include experience in C++ programming, Python, and knowledge of numerical optimization tools such as PyTorch or PyAnsys.

  • Published on

    Machine Learning Engineer

    Acceler8 TalentSan Francisco Bay Area, US

    Acceler8 Talent is looking for a Machine Learning Engineer who will play a pivotal role in advancing hardware engineering with innovative AI models. Responsibilities include developing interconnected LLMs and NLP models, along with optimizing complex algorithms to redefine hardware design processes. The ideal candidate should possess strong skills in PyTorch and a robust understanding of advanced machine learning and data engineering principles.