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Data Engineer

Full time at Getpivotal in Online
Posted on April 27, 2024

Job details

You are an experienced data practitioner who will work closely with AI andinfrastructure staff to improve our AI through better data You are an experienced data practitioner who will work closely with AI andinfrastructure staff to improve our AI through better data. You will be responsible forcollecting AI training data, optimizing how we use that data, and analyzing data to informproduct direction. Data is key to Pivotal AI’s success, so your work will have a massiveimpact and will directly improve our models and product. You are expected to have experience building large scale data processingpipelines, using tools like PySpark, Beam, or Flink. Expertise in ML is not necessary, but afamiliarity with Machine Learning and NLP and a willingness to learn more on the job areimportant. A track record of adapting to new domains and a desire to use data to improveproducts are strong indicators for success in this role. You may have relevant experience as a Data Scientist, ML Engineer, Data Engineeror Software Engineer, but will be expected to apply your data skills to every step ofbuilding our large language model product.

Employee Pay Disclosures

At Pivotal AI, our goal is to recruit and keep top-tier talent, offeringcompensation that fairly reflects each individual’s input. The salary range for this role isroughly between $150,000 and $250,000 along with generous equity plan, subject to variousinfluencing factors.

About Pivotal AI.

Pivotal AI is a compact, multidisciplinary team focused on democratizingpersonal AI. Our inaugural AI focuses on Search engine & personal intelligence. Our team comprises leading AI researchers, inventive designers, and engineers, collaboratively workingto pioneer a new category of digital experiences.

Where We Work.

We operate on a flexible, hybrid work model, with in-office days varying eachweek. Our work cycle spans six weeks, followed by a week-long in-person companygathering for brainstorming and team-building.

How We Work.

We prioritize excellence and individual ownership, emphasizing roles overmanagerial layers. We believe in the transformative power of highly skilled contributorsempowered with resources and freedom. Our culture is built on teamwork, openness, and mutual respect. We encouragequestioning, learning, and active support for one another. Both technical and non-technicalcontributions are equally valued. We welcome respectful, constructive debates. We value team members who questionassumptions, offer fresh perspectives, and advocate for different paces. Transparency,honesty, and compassion are our pillars. Feedback serves as our reality check, informing both our AI development andinternal culture. Data-driven insights guide our priorities, and everyone has a say in keydecisions. Written communication is crucial for accountability, whether through internaltools or team memos. We highly encourage taking breaks to rejuvenate and maintain work-life balance.

Engineering at Pivotal AI

Pivotal AI is a fully integrated AI company, meaning we develop everythingin-house. We see scalability as the driving force behind AI advancement. We don’tdifferentiate between engineering and research; we’re always innovating and refining. Userfeedback guides us.

100% Remote.

We are 100% remote. Although we have a Singapore based physical office space if anyoneprefers using it.

Country specific benefits & Visa's.

Moving to different countries is painful and we understand it. We though support visasponsorships for most countries.

Employee friendly equity terms.

We offer an extended exercise window and early exercise for any options offered Interns needed across software development, product manager, system design and GTM. As versatile software developer, you excel in rapidly transitioning from initialprototypes to polished end-products, operating independently across various engineeringfields. Broad background in developing web, mobile, API, and backend solutions, and thrive inroles that require multitasking. Your work will touch multiple layers of our techstack. You are an experienced data practitioner who will work closely with AI andinfrastructure staff to improve our AI through better data You have a history of driving expansion through various channels and tactics speciallywith consumer focused startups You’ll play an active role in shaping the AI models that fuel our groundbreakingproducts.

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