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  • Published on

    Storm3 is looking for a Founding ML Engineer with a focus on Bioinformatics. As an early team member, you will be responsible for designing and building scalable infrastructure for training, evaluating, and serving ML models specific to biomedical tasks. This role includes fine-tuning foundation models and collaborating with biologists to ship production-quality tools to accelerate scientific discovery. Our ideal candidate has over 4 years of experience in ML and strong software engineering fundamentals, particularly in bioinformatics workflows.

  • Published on

    Willing Tech is looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs. You will develop machine learning systems that generate structured vector graphics (e.g., SVG/JSON) from biological and textual inputs, while collaborating with ML researchers and engineers to ensure the accuracy and scalability of AI-generated outputs.

  • Published on

    Acceler8 Talent is looking for a Senior Machine Learning Engineer to join a fast-moving, well-funded startup based in Canada. This company aims to reinvent insurance using advanced machine learning technologies. As a Senior ML Engineer, your primary responsibilities will include building production-grade ML systems from the ground up, working with LLMs, neural networks, and real-time risk models that are already live in production. You will be part of a small, senior team enjoying full autonomy and facing zero red tape. To succeed in this role, you should have at least 5 years of hands-on experience in ML, particularly with large models, and possess a deep understanding of LLMs, neural networks, or computer vision. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or JAX is essential.

  • Published on

    Acceler8 Talent is looking for a Senior Machine Learning Engineer to develop and enhance production-grade ML systems. The ideal candidate should possess strong hands-on experience in machine learning and be well-versed in deploying models using cloud platforms. Responsibilities include working with large models and fostering innovation in the insurance sector using ML. The role offers competitive compensation and equity in a promising startup.