Software Engineer (Machine Learning Engineer)

Orby builds the next-generation Automation AI platform to automate repetitive processes. It provides a unique “observe, learn, and automate” end-to-end experience powered by an actions-based foundation model. Orby observes a user’s activities, identifies repetitive work steps, and generates the suggestions that ultimately automate these tasks. Moreover, Orby works behind the scenes to continuously learn from human feedback, becoming smarter with no coding involved. The two founders have unparalleled domain knowledge and AI expertise - Bella Liu led AI product and business development teams at UiPath (enterprise automation leader) from the early stage to post IPO and Will Lu led the engineering teams at Google building successful enterprise AI products in the last decade. Throughout the beta development, Orby has partnered with some of the world’s largest organizations to deploy the product and save users valuable time. They also hired world-class engineering, research, and design talent from Google, Microsoft, and Stanford who have extensive experience building cutting-edge technologies. Orby recently raised a Series A round from top VCs with a strong track record of backing category-defining companies. You will be working on building a category-defining product - AI Automation will be a cornerstone in every enterprise in the world. Humans should not do soul-crushing repetitive and tedious work! It is the perfect time to build as the foundation model technology is at the tipping point to take the automation world to the next stage. If you are ready to take on the challenge of building a new product category, with an extremely motivated and focused team, and you want to define a new era of human and AI interaction and solve the unique challenges with the uncertainty of AI, UX and a complex environment, come join us! Responsibilities - Contribute to all aspects of the Machine Learning development process, including model architecture, data curation, training and inference infrastructures, evaluation pipelines, PEFT, and many other exciting cutting edge AI technologies as they emerge - Collaborate with product engineers to develop and integrate ML models and features. - Collaborate with research scientists on original research in the space of foundation model - Building reliable and secure systems to power our web-based applications - Develop prototypes and experiments, while researching and developing novel ideas, new AI tools and technologies We're Eager to Work with - Those who want to join our mission to use AI to optimize efficiency and help people save time - Individuals with an unwavering customer focus, committed to crafting experiences that delight - Those who embrace excellence and consistently deliver top-tier work - Innovators who thrive on creative thinking and daring to tread new paths - Owners at heart, ready to take responsibility and drive results - Individuals of the highest integrity, who foster trust and honesty Where We Work We work in a hybrid model. During the week we’re in the office three days a week. During the day we have core hours when everyone is expected to be available. We are currently hiring in Sunnyvale, CA, although we do sometimes make exceptions. Minimum Qualifications - Strong algorithm, data structure and coding skills - Familiar with the state of the art in AI - Experiences in end-to-end ML application development, including data engineering, model tuning, model serving and model serving - Experiences in NLP Preferred Qualifications - Demonstrated track record of excellence and desire to grow - Experience at fast-growing companies or startups - Experiences in large-scale ML development - Exposure to architectural patterns of large-scale software applications Compensation We aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. The pay range for this position in California, is estimated to fall in the base range of approximately $150,000 - $300,000. This estimate can vary based on the factors described above, so the actual starting annual base salary may vary.