Software Engineer - Data Engineer
San Francisco Bay Area
Pear VC
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
Collect AI training data, optimizing how we use that data, and analyzing data to improve machine learning models. Data is key to Orby’s success, so your work will have a massive impact and will directly improve our models and product.
Design and implement the infrastructure for data curation
Brainstorm unusual data sources and figure out how to get them
Develop distributed data processing pipelines for filtering, augmenting, and analyzing datasets
Partner AI and infrastructure staff to improve our AI capabilities through better data
We're Eager to Work with
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 Mountain View, CA, although we do sometimes make exceptions.
Minimum Qualifications
Strong algorithm, data structure and coding skills
Experience in designing and implementing data pipelines, ETL processes, and data architectures on cloud platforms like AWS, GCP, or Azure.
Demonstrated experience with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
Preferred Qualifications
Demonstrated track record of excellence and desire to use data to improve products / models are strong indicators for success in this role.
Experience at fast-growing companies or startups.
Experiences in large-scale ML, NLP and data processing.
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 $130,000 - $300,000.
This estimate can vary based on the factors described above, so the actual starting annual base salary may vary
If you don't think you meet all the criteria, but are still interested, please apply! Nobody checks every box, and we are looking for someone who is excited for the mission and has a growth mindset.
Tags: Architecture AWS Azure Cassandra Data pipelines Engineering ETL GCP Machine Learning ML models MongoDB MySQL NLP NoSQL Pipelines PostgreSQL Research SQL UX
Perks/benefits: Career development Startup environment Team events
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