Speak
Senior Backend Engineer- ML Systems
Speak, San Francisco, California, United States, 94199
[Full Time] Senior Backend Engineer- ML Systems at Speak (United States) | BEAMSTART JobsSenior Backend Engineer- ML Systems
Speak United StatesDate Posted: 29 Jun, 2023Work Location: San Francisco, United StatesSalary Offered: Not SpecifiedJob Type: Full TimeExperience Required: 6+ yearsRemote Work: NoStock Options: NoVacancies: 1 availableAbout us
Our mission is to become the de facto way people learn foreign languages. We begin by teaching the next billion people English and Spanish.Speak is on a journey to fix this by creating an AI-powered experience that replicates the flow of a conversation, making it radically more accessible to have conversations in a foreign language.We started on this journey over four years ago and have quickly grown to become the top grossing education app in South Korea and recently launched in Japan.About this role
We are looking for a Senior Backend Engineer to work on ML Systems at Speak and help us level-up our production ML backend services. You will be responsible for improving the robustness of our LLM operations, designing a global queueing and load-balancing system, and supporting new product features.What you'll be doing
Owning and building ML-related systems and services, working closely with product to design and implement new features.Building and integrating a Prompt Management system for creating and versioning different prompts and templates.Developing a Prompt Experimentation framework for performance monitoring of production conversational and assessment prompts.Handling queueing and load-balancing systems on our server.Improving logging, testing, and error handling on the ML server.What we're looking for
Strong software engineering background, with a focus on backend development.Experience with production deployment infrastructure, including Kubernetes, Terraform, etc.Proven experience in building, maintaining, and scaling backend servers, APIs, and data pipelines.Proficiency in Python and TypeScript, with a strong understanding of software engineering best practices.Excellent problem-solving and communication skills, and the ability to work independently or as part of a team.Bonus
Experience with ML infrastructure.Experience with LLM Operations.Why work at Speak?
Join a fantastic, tight-knit team at the right time:
we're growing quickly, having just raised our Series A.Do your life's work with people you’ll love working with:
we care strongly about our craft and want every person at Speak to feel like they're growing every day.Global in nature:
We're live in South Korea and Japan, with dedicated offices in San Francisco, Ljubljana, and Seoul.Impact people's lives in a major way:
We're helping millions of people achieve their goals and improve their lives.About Speak
Company Size:
11 - 50 PeopleYear Founded:
Not SpecifiedCountry:
United StatesCompany Status:
Actively Hiring
#J-18808-Ljbffr
Speak United StatesDate Posted: 29 Jun, 2023Work Location: San Francisco, United StatesSalary Offered: Not SpecifiedJob Type: Full TimeExperience Required: 6+ yearsRemote Work: NoStock Options: NoVacancies: 1 availableAbout us
Our mission is to become the de facto way people learn foreign languages. We begin by teaching the next billion people English and Spanish.Speak is on a journey to fix this by creating an AI-powered experience that replicates the flow of a conversation, making it radically more accessible to have conversations in a foreign language.We started on this journey over four years ago and have quickly grown to become the top grossing education app in South Korea and recently launched in Japan.About this role
We are looking for a Senior Backend Engineer to work on ML Systems at Speak and help us level-up our production ML backend services. You will be responsible for improving the robustness of our LLM operations, designing a global queueing and load-balancing system, and supporting new product features.What you'll be doing
Owning and building ML-related systems and services, working closely with product to design and implement new features.Building and integrating a Prompt Management system for creating and versioning different prompts and templates.Developing a Prompt Experimentation framework for performance monitoring of production conversational and assessment prompts.Handling queueing and load-balancing systems on our server.Improving logging, testing, and error handling on the ML server.What we're looking for
Strong software engineering background, with a focus on backend development.Experience with production deployment infrastructure, including Kubernetes, Terraform, etc.Proven experience in building, maintaining, and scaling backend servers, APIs, and data pipelines.Proficiency in Python and TypeScript, with a strong understanding of software engineering best practices.Excellent problem-solving and communication skills, and the ability to work independently or as part of a team.Bonus
Experience with ML infrastructure.Experience with LLM Operations.Why work at Speak?
Join a fantastic, tight-knit team at the right time:
we're growing quickly, having just raised our Series A.Do your life's work with people you’ll love working with:
we care strongly about our craft and want every person at Speak to feel like they're growing every day.Global in nature:
We're live in South Korea and Japan, with dedicated offices in San Francisco, Ljubljana, and Seoul.Impact people's lives in a major way:
We're helping millions of people achieve their goals and improve their lives.About Speak
Company Size:
11 - 50 PeopleYear Founded:
Not SpecifiedCountry:
United StatesCompany Status:
Actively Hiring
#J-18808-Ljbffr