
ElevenLabs · Tokyo
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first hum...
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of
businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's
most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was
$11B - multiples of 11, always.
monitoring, and reliability necessary to deploy voice and chat agents at scale.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are
researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact,
we want to hear from you.
to operations.
the boundaries of what’s possible.
immediate role and responsibilities.
and Italy.
and regional data protection acts like the Australian Privacy Principles (APP) or Singapore's PDPA.
Telecommunications, and Government sectors, particularly focusing on opportunities in Australia, New Zealand, and Singapore.
efficiently.
region, such as Government, Defense, and Finance, with an emphasis on Australia, New Zealand, or Singapore.
(e.g. Vanta).
requirements and ensure smooth operations.
This role is remote-first, so it can be executed from anywhere in APAC, with the ability to operate in GMT+8 to GMT+12 timezones
preferred. If you prefer, you can work from our office in Tokyo.
Req: CSQ427R173 Location: Tokyo, Japan Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have: * Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems * Own production rollouts of consumer and internally facing GenAI applications * Serve as a trusted technical advisor to customers across a variety of domains * Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally * Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: * Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy * Expertise in deploying production-grade GenAI applications, including evaluation and optimizations * Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. * Experience building production-grade machine learning deployments on AWS, Azure, or GCP * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience * Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving business value through AI * [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets * Willing to travel once every 4-8 weeks to see customers (as needed) * Language Proficiency: Native-level fluency in Japanese and professional working proficiency in English (both written and verbal). About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1502 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale. Additionally, you will collaborate with the larger AI/ML community to contribute to open-source projects and advance AIOps capabilities in the industry. THE IMPACT YOU'LL HAVE: * Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents * Design and implement platform integrations with various frameworks in the AI/ML ecosystem * Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps. * Ensure the latest AI/ML tooling advancements are available to Databricks’ customers, thereby enabling organizations around the world to get more value from their data. * Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review. WHAT WE LOOK FOR: * BS (or higher) in Computer Science, or a related field * 3+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java. * Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment. * Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring. * [Preferred] Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects. * [Preferred] Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1502 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Sr. Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale. Additionally, you will collaborate with the larger AI/ML community to contribute to open-source projects and advance AIOps capabilities in the industry. THE IMPACT YOU'LL HAVE: * Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents * Design and implement platform integrations with various frameworks in the AI/ML ecosystem * Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps. * Ensure the latest AI/ML tooling advancements are available to Databricks’ customers, thereby enabling organizations around the world to get more value from their data. * Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review. WHAT WE LOOK FOR: * BS (or higher) in Computer Science, or a related field * 5+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java. * Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment. * Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring. * [Preferred] Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects. * [Preferred] Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.