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Sponsored job posts from the community - New York City Create Job Post

Mitchell Troyanovsky

Frontend Engineer - Founding Team
Basis New York, New York

Engineer intuitive frontend systems built around new, dynamic UX concepts. Take ownership and work directly with co-founders. Oversee our users' interactions with our underlying models. Shape our early engineering culture and processes. Evolve our approach on frontend infrastructure, abstractions, component library, etc. Help hire and build out the rest of the early engineering team - there will be no shortage of responsibility. Balance long-term thinking and smart abstractions with shipping fast and iteratively.

by Mitchell Troyanovsky (Basis)

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Mitchell Troyanovsky

Technical Solutions Engineer - Founding Team
Basis New York, New York

Architect internal processes to allow us to scale to more customers without sacrificing quality. Build low-code tools that allow our accounting team to help train and improve Basis' systems. Build low-code tools around Basis' AI to scale the go-to-market effort. Take ownership and work directly with co-founders. You will be the RP (responsible party) on many important processes and tools that help set the pace for how fast Basis can scale. Take pressure off of the rest of the engineering team by designing effective processes that serve as the first line of defense. Shape our early engineering, go-to-market, and support culture + processes. Help hire and build out the rest of the early team - there will be no shortage of responsibility. Balance long-term thinking and smart abstractions with shipping fast and iteratively. Interact with customers to understand/solve their problems.

by Mitchell Troyanovsky (Basis)

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Mitchell Troyanovsky

Backend Engineer (Staff-Level) - Founding Team
Basis New York, New York

Engineer software systems around sophisticated ML models. Take ownership and work directly with the co-founders. Oversee significant parts of our tech and product. Shape our early engineering culture and processes. Evolve our approach on backend infrastructure, web server design, core abstractions, etc. Help hire and build out the rest of the early engineering team - there will be no shortage of responsibility. Balance long-term thinking and smart abstractions with shipping fast and iteratively.

by Mitchell Troyanovsky (Basis)

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Dewi E

Software Engineer
BlueDot Impact London

Build the infrastructure that trains the world's top AI safety and biosecurity talent, helping to solve the world's biggest problems.

Salary £60-90k ($75-115k)

by Dewi E (BlueDot Impact)

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Mitchell Troyanovsky

ML Engineer (Senior/Staff Level) - Founding Team
Basis New York, New York

Architect ML evaluation, experimentation, and monitoring systems. Leverage LLMs to auto-optimize and re-train pipelines. Orchestrate complex workflows across LLMs and other ML methods. Work directly with ML Research to figure out how to turn cutting-edge idea into reality. Take ownership and work directly with co-founders. Oversee end-to-end ML engineering pipelines. Own as much LLM experimentation as you want. Shape our early engineering culture and processes, including around internal use of LLMs for engineering. Help hire and build out the rest of the early engineering team - there will be no shortage of responsibility. Balance long-term thinking and smart abstractions with shipping fast and iteratively.

by Mitchell Troyanovsky (Basis)

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Patrick Deegan

Founding AI Engineer
TeddyBot Inc New York / Remote

TeddyBot, Inc is seeking a Founding AI Engineer to lead the development from prototype to pilot-ready MVP, focusing on machine learning models for natural language processing, GenAI, and speech synthesis.

Salary $35 - $50 per hour + equity compensation

by Patrick Deegan (TeddyBot Inc)

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Mitchell Troyanovsky

Fullstack Engineer - Founding Team
Basis New York, New York

Engineer software systems around sophisticated ML models. Take ownership and work directly with the co-founders. Oversee significant parts of our tech and product. Shape our early engineering culture and processes. Balance long-term thinking and smart abstractions with shipping fast and iteratively.

by Mitchell Troyanovsky (Basis)

Learn more »

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