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Experienced Backend Engineer
1 month ago
Experienced Backend Engineer
Introduction: We are looking for an Experienced Backend Engineer to join our team. This role offers the opportunity to work with cutting-edge MLOps and data-centric AI, guided by experts in the field.
About the Company: Our founders, who hold PhDs from MIT, have worked at leading technology companies like OpenAI, Google, and Microsoft. They identified a critical issue in AI - unreliable performance on real-world data due to label errors and poor data quality. After eight years of research, we developed a solution to this problem and launched our company. We focus on improving ML data quality, enabling more reliable AI systems.
About the Role: As an Experienced Backend Engineer, you will drive the development of our data platform, making crucial architectural decisions for data ingestion, processing, and ML training pipelines. You will mentor other engineers and help evolve our tech stack. This role involves identifying and addressing performance, reliability, cost efficiency, and security risks.
What We Can Offer You:
- Competitive salary with equity opportunities.
- Annual travel stipend to enhance cultural empathy and effective collaboration.
- Premium health insurance (including dental and vision) with a $0 deductible option.
- Professional development stipend to stay updated with the latest innovations in ML and software.
- Opportunity to work at a well-funded AI startup with a supportive, expert team.
Key Responsibilities:
- Define and own high-priority projects to enhance value, resilience, and scalability.
- Make critical architectural decisions for data platforms.
- Provide technical mentorship and leadership to other engineers.
- Identify and mitigate performance, reliability, cost efficiency, and security risks.
- Collaborate with product, sales, and marketing teams to develop optimal solutions.
Relevant Keywords: Backend engineer, data platform, MLOps, data-centric AI, architectural decisions, ML training, technical mentorship, performance optimization, cloud environments, distributed systems.
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