Top Machine Learning Jobs

Lead the design, development, and improvement of machine learning models for 3D computer vision in an innovative photogrammetry platform. Responsibilities include optimizing ML systems, deploying models, and staying updated on advancements in the field. This role requires hands-on leadership and a solid background in machine learning and computer vision.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.

The ML Research Scientist will lead research on large language model (LLM) safety, focusing on developing innovative techniques for safe, high-quality, and explainable models. Responsibilities include spearheading research, co-authoring papers, collaborating with teams, and delivering scalable algorithms.

Looking for a Senior AI/ML Scientist with experience in creating, optimizing, and deploying ML and NLP solutions. Responsibilities include building and deploying AI solutions for document review, organization, and Q&A processes.

As a Senior ML/Research Scientist at NextSense, you will develop state-of-the-art wearable neurotechnologies, conduct innovative research, and apply machine learning and signal processing techniques to analyze biosignals and develop digital biomarkers for neurological conditions. You will collaborate with a team to translate research into practical applications and engage in writing scholarly publications.

The Principal ML Engineer will build and deploy scalable machine learning models, develop web applications for data insights, and collaborate with cross-functional teams to deliver impactful data-driven solutions. Responsibilities also include providing consulting services for data-driven decision-making.

AI Scientists at HHMI develop and execute AI-based research projects aimed at biological discoveries. They lead collaborative teams, oversee projects, explore new methods, and contribute to scientific publications. They work on a range of scales, from individual projects to large initiatives, and ensure coordination across teams.

The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.

The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.

As a Staff Machine Learning Engineer at Fakespot, you will apply machine learning techniques to analyze unstructured data, develop and fine-tune models for text-related tasks, optimize models for production, monitor performance, and collaborate with cross-functional teams to enhance features and solutions.

The Sr. Software Engineer for Machine Learning at Tinder will develop algorithms and recommendation systems that enhance user matches and optimize business metrics. This role involves high-impact contributions in a collaborative, innovative engineering environment.

As a Sr. Software Engineer, you'll develop machine learning infrastructure to support various business needs, mentor junior engineers, and collaborate with cross-functional teams. Your work will enable rapid testing and scaling of experiments using vast datasets.

As a Senior Software Engineer at Mashgin, you will leverage your expertise in machine learning and computer vision to design and implement deep learning algorithms. You will focus on solving real-world problems, develop innovative data collection methods, and transition research into production-ready solutions collaboratively with a small team.

As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.

As a Senior Machine Learning Engineer, you will design and engineer ML systems for various industries, promote technical thought leadership within the data science team, and work across different ML approaches. Responsibilities include collaborating with stakeholders, addressing technical challenges, and deploying production ML solutions in a cloud environment.

As a Staff Machine Learning Engineer, you will lead the design and integration of Generative AI solutions in Firefox, collaborating across teams. You will build infrastructure for training LLMs and implement validation procedures to ensure model performance while monitoring and optimizing deployed models.

The Senior Machine Learning Engineer will design and implement complex machine learning models, conduct experiments, and develop scalable infrastructures. The role includes mentoring junior members and communicating project results to stakeholders while focusing on data quality and best practices.