How to apply

We are currently revamping our systems, check back later for application links for specific job openings! In the meantime, if you are interested in working with us, please email careers@TensorOpera.com by briefly introducing your background and experience and explain why you would like to work with us.

About the Job

TensorOpera, Inc. (https://TensorOpera.ai) empowers our clients to build & scale any machine learning or artificial intelligence models anywhere. That includes the latest foundation models as well as more traditional ML models. Our products cover both training, serving with a low-code UI MLOPs & LLMOps platform. We also offer a Federated Machine Learning solution for cross-silo training for data privacy sensitive applications.

Our earliest products power federated machine learning missions for clients in several industries, where data privacy, low latency serving, and low cost of data storage are important to the client. Our easy-to-use TensorOpera MLOps solution enables data science and machine learning engineering to work seamlessly together to deploy & manage their model to production machines. Our federated learning and serving solutions support siloed edge devices, smartphones, and IoT.

Our next generation of solutions includes geo-distributed machine learning and serving that continues our tradition of delivering easy-to-use, simple, low-cost, and enterprise grade MLOPs solutions. Our MLOps and evolving LLMOps platform will always empower experimentation, observability, evaluation, governance, and collaboration for our clients’ AI & ML training and serving needs, as well as other general computing needs.

TensorOpera supports vertical solutions across a broad range of industries (healthcare, finance, insurance, automotive, advertising, smart cities, IoT etc,) and applications (computer vision, natural language processing, data mining, and time-series forecasting). Its core technology is backed by more than 3 years of cutting-edge research of its co-founders who are recognized leaders in the federated machine learning community.

TensorOpera's researchers and software engineers and product teams are busy developing the next-generation TensorOpera platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking. We’re an early stage startup, hence you will work on projects which are critical to our customers' and our business needs. If you love to learn, and love to convert ideas into real and scalable machine learning infrastructure products and applications, TensorOpera may be a great place for you.

Location

Our HQ is in Palo Alto, California. Preference is for someone local who can be at our office regularly. Hybrid is ok.