Engineering Candidate Spotlights

1.

• Blurb: Strong early career professional, 1+ years of experience working in data infrastructure full time. Prior ot this, they held 3 different SWE Internships with robust backend focuses at a FAANG company, a mid-stage startup, and a researched focused role with a lab at UC Berkeley
• Background + Notable Accomplishments: Currently building real time data pipelines, converting and building systems for batch pipelines
• Location: San Francisco proper, open to onsite if in the city, remote or hybrid otherwise‍
• Ambitions: Strong motivation to work for startups and with lean teams, ideally would like to jump back to full stack and become more into generalist and excited to work with a product that has an AI component

2.

• Blurb: Early career, current FAANG engineer currently leading a NLP research project within the Machine Learning Research group, responsible for the full experimental and engineering stack.
• Background + Notable Accomplishments: BS in CS from Stanford (AI focus), MS from Stanford (Electrical Engineering (Software and Hardware Systems track), currently implementing retrieval-augmented LLMs to enhance factuality and reduce hallucinations. Also leading a project on the text fidelity of large image generation models.
• Location: Local to SF, able to work onsite, hybrid, or remote for opportunities outside of the Bay Area/companies with fully remote culture‍
• Ambitions: Passionate about building robust systems using data
  

3.

• Blurb: Frontend leaning, two-time founding engineer. Well-rounded and highly collaborative with an academic background in business administration
• Background and Notable Accomplishments: Currently overseeing the creation of a vertical SaaS product from ground up, guiding it to evolve into a fully-fledged end-to-end System built using Redwood.js.
• Location: SF Bay Area, open to onsite or remote‍
• Ambitions: Actively searching for the next role where they can take on ownership, build 0-1

4.

• Blurb: FAANG and startup co-founder experience in the e-commerce and healthcare industries
• Background and Notable Accomplishments: 4+ years of experience developing software and leveraging data and algorithms to improve business processes. They have worked at research labs, startups, and a Fortune 20 company. Computer Science  BS with concentrations in AI and Theory from Georgia Tech
• Location: Local to NYC, open to hybrid or remote, potentially onsite for the right client, but not interested in relocation‍
• Ambitions: They thrive in startup environments, would like to get back to that and are primarily looking for Backend or Machine Learning SWE roles

5.

• Blurb: 3+ years concurrently working as a Machine Learning engineer and as a researcher in distinguished big-tech companies with a BS in Computer Science from USC
• Background and Notable Accomplishments: 0-1 experience designing a company’s flagship machine learning model infrastructure platform, unifying internal distributed systems for high-scale access to open-source and proprietary models
• Location: SF Bay Area, open to remote or in-office‍
• Ambitions: They want to work in an environment where they can further progress and optimize AI research, passionate about intersecting with exciting technologies

6.

• Blurb: Senior UI Engineer with 10+ years of experience with both startups and large tech companies, architecting web apps and delivering world-class user experiences. 
• Background and Notable Accomplishments: Has grown from seed through Series A (startup was then acquired). Attained a Product Management certification from UC Berkeley, and a Master's degree in Computer Science from Georgia Tech
• Location: Mountain View, CA‍
• Ambitions: Passionate about creating an experience that users love

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Moonhub's team of AI-native recruiters help companies find and hire the best talent, faster. To get an introduction to any of these candidates, talk to our team today.