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Senior Back End Engineer (Hazel AI)
Altruist · San Francisco, United States
About The Role
Join Altruist, a fast-growing company focused on building industry-leading AI products. As a Senior Back End Engineer, you will architect robust systems, build scalable data pipelines, optimize search and retrieval infrastructure, and collaborate with product managers and subject matter experts. You will also mentor other engineers and stay ahead of the curve with the latest developments in machine learning and AI. Enjoy competitive compensation, health benefits, and a commitment to inclusivity.
- Architect robust systems across data, model, and product layers to bring the company's vision to life.
- Build scalable data pipelines to store, sync, and extract large amounts of information from unstructured and structured data.
- Collaborate with product managers and subject matter experts to build steerable AI systems and continuously monitor and improve the quality of AI products.
- Generative AI products, or
- Vector databases, search indices, or other data stores for search and retrieval use cases
- Technical aptitude - You
- Intentional communication - intentional dialogue is a superpower. You listen as well as you share your perspective with others
- Ranking or recommender systems,
- Bonus Points - Familiarity with statistical and mathematical underpinnings of machine learning and large language models
- Know when to take a first principles approach and when not to reinvent the wheel
- Resilience - We’re inspired by your unwavering determination to achieve success, no matter the adversity you face along way
- Experience - 6+ years with some of them contributing towards building ML systems at scale, in a production setting. Have built and/or used
- Education - Bachelors/Master's degree in Computer Science, Machine Learning, Data Science, or a related field
- Foundations - A deep understanding of data structures, algorithms, and sound software engineering principles
- Have excellent problem solving skills,
- Can break down a complex problem into simpler constituent parts
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