Future Tech Jobs
Future Tech Jobs
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
This role involves working closely with research scientists and simulation engineers to build and optimize machine learning models for real-world physics and engineering problems. You will design, implement, and scale models using distributed training architectures and cloud services, while also mentoring colleagues and translating research into reusable libraries and products.
This role involves shaping the research group's strategy and culture, defining necessary profiles, and promoting effective working patterns. Key responsibilities include designing, building, and optimizing machine learning models, implementing distributed training architectures, and working closely with research scientists to address real-world physics and engineering problems. The position also involves mentoring junior team members and fostering a collaborative environment.
As a Solutions Architect at NVIDIA, you will collaborate with pharmaceutical companies and research organizations to accelerate AI-powered drug discovery. Your role involves supporting business development, guiding customers in implementing AI solutions, and driving innovation through proof-of-concept demonstrations and technical training.
This role involves solving complex safety and integrity challenges in AI systems, working closely with cross-functional teams to build analytical foundations that ensure responsible deployment of AI. Responsibilities include detecting harmful behavior, evaluating safety systems, and designing experiments to inform critical decisions.
This role involves leading the statistical direction and technical strategy for OpenAI’s core experimentation platform, focusing on improving the reliability and usability of experiments. Responsibilities include designing and enhancing experimentation methodologies, building robust systems, and mentoring other data scientists.
This role involves leading a small engineering team within the Chem-Bio (CB) team at the AI Security Institute. Responsibilities include setting technical direction, managing engineers, designing and building reliable systems, and working closely with researchers to translate their needs into well-engineered solutions. The role also involves hiring, shaping engineering culture, and coordinating with other teams across the organization.
The role involves leading the Data Platform team to develop and maintain a unified data platform that integrates wet and dry labs, ensuring reliable data flow and processing. Responsibilities include defining the data platform strategy, managing a team of data engineers, optimizing scientific compute pipelines, and enforcing data governance standards.
This role involves researching and developing methods to ensure the reliability of AI system evaluations and monitoring, particularly as models become more complex and less transparent. You will work on projects like creating chain-of-thought monitorability benchmarks and collaborating with leading AI labs and government officials to inform policy and safety practices.
This role involves developing machine learning and optimization models for Amazon's large-scale transportation planning systems, focusing on external freight within the middle mile. Responsibilities include creating dynamic pricing and network planning models, building scalable products, and optimizing the freight marketplace to improve operations and customer experiences.
This role involves supporting computational drug discovery and antibody design efforts, working closely with internal and external teams to evaluate and interpret computationally generated antibody candidates. The Data Scientist will contribute to multidisciplinary projects, extract insights from sequence and structural data, and help refine internal discovery strategies.
As a Senior Data Scientist at Faculty AI, you will lead high-impact AI projects, define data science approaches, and mentor junior colleagues. You will work closely with major pharma firms and academic research centers to develop AI solutions that optimize the research and commercialization of life-changing therapies, ensuring high-quality delivery and building strong client relationships.
Amazon’s Middle Mile Science group is looking for a Senior Applied Scientist to build machine learning and optimization models to support pricing and revenue management of its external freight business. This includes the development of novel forecasting and dynamic pricing...
As a Computational Drug Designer, you will work on cutting-edge drug discovery projects, applying AI and computational chemistry to design novel molecules. You will collaborate with interdisciplinary teams, contribute to scientific proposals, and mentor junior colleagues in a fast-paced, innovative environment.
As a Chemistry Lead in the Induced Proximity team, you will develop and apply a cutting-edge platform to tackle traditionally intractable drug discovery problems. You will collaborate with AI/ML and drug design experts to drive projects towards clinical trials, pushing the boundaries of what is possible in the field.
