Tecton helps companies unlock the full potential of their data for AI applications by streamlining the process of preparing and delivering data to models.

Tecton, backed by prestigious investors like Sequoia Capital and Andreessen Horowitz, is revolutionizing how companies leverage data for AI applications. As their Machine Learning Engineer focusing on Gen AI, you'll be at the forefront of expanding Tecton's technology into diverse GenAI applications. The role offers exposure to cutting-edge AI implementations across various use cases, from recommendation systems to fraud detection.

Working directly with the CEO/CTO, you'll shape Tecton's GenAI strategy and drive initiatives from concept to delivery. The position requires a blend of technical expertise in machine learning, particularly in LLMs and deep learning frameworks, along with the ability to navigate ambiguity and drive rapid progress. You'll collaborate with cross-functional teams and directly impact customer success.

The company offers a competitive package including a substantial base salary range of $189,000-$258,000, plus equity and comprehensive benefits. With offices in San Francisco and New York City, Tecton maintains a distributed team structure, offering flexibility in work location. Their team brings extensive experience from leading tech companies like Uber, Google, and Meta, creating an environment rich in expertise and innovation.

This role is perfect for someone who thrives in fast-paced environments, has deep technical knowledge in ML/AI, and wants to shape the future of AI applications. You'll work with industry leaders like Atlassian and Coinbase, making a direct impact on how companies implement and scale their AI solutions.

Senior Machine Learning Engineer position at Tecton, focusing on GenAI development and strategy, offering competitive compensation and the opportunity to shape the future of AI applications.

Machine Learning Engineer, Gen AI

Tecton helps companies unlock the full potential of their data for AI applications by streamlining the complex process of preparing and delivering data to models.

Tecton is a leading company in the field of AI data preparation, funded by major venture capital firms and with strategic investments from Snowflake and Databricks. The Realtime Compute team at Tecton builds streaming infrastructure for sub-second data freshness in AI applications, including a production-ready Python runtime for secure, scalable realtime code execution.

As a Software Engineer in the Realtime Compute team, you will:
- Develop advanced streaming capabilities in Rift, including joins, stateful operations, and native connectors to streaming data sources
- Build an integrated observability solution with logs, metrics, and traces
- Scale the ingestion platform to handle millions of requests per second with low latency and high availability
- Optimize the sandboxed Python execution environment for fast autoscaling
- Launch infrastructure across multiple cloud platforms, ensuring security compliance and data residency requirements
- Prioritize tasks with a focus on performance-critical areas

This role offers the opportunity to work on cutting-edge streaming and realtime compute technologies, directly impacting the efficiency and effectiveness of AI applications. You'll be part of a fast-growing, globally distributed team with extensive experience in machine learning systems from leading tech companies.

The position offers flexibility in work location, with options to work in hub offices in San Francisco, New York City, Seattle, or fully remotely within the US. Tecton provides a competitive salary range of $189,000 - $231,000 annually, along with equity and comprehensive benefits.

Join Tecton as a Software Engineer in Realtime Compute, developing advanced streaming infrastructure for AI applications with competitive compensation and flexible work options.

Software Engineer, Realtime Compute

Tecton is building Rift, a new fully managed compute environment that allows data scientists to construct powerful batch and streaming pipelines in Python. As a staff-level engineer on the Batch Compute team, you'll play a critical role in architecting, designing, and scaling the core compute engines and storage architecture used by every Tecton customer. You'll contribute to the performance of our query optimizer, from parsing & optimization to plan selection. This role combines customer-obsessed product focus with platform and data engineering innovation.

Responsibilities:
- Own and lead large technical domains
- Lead multi-engineer projects of strategic importance
- Drive efforts to improve engineering practices, tooling, and processes
- Develop a deep understanding of customer problems in building ML systems
- Be a versatile generalist as needed

Qualifications:
- Experience with Python, Java, Kotlin, or Go and cloud-native Spark systems
- Experience in performance tuning of Spark, Ray, Maestro, or Airflow jobs
- Knowledge of data formats and object storage
- Expertise in cloud-scale query performance and optimization
- Experience with distributed systems and databases
- Strong communication skills
- Excitement about coaching and mentorship
- BSc, MS, or PhD in Computer Science or related fields
- 8+ years of experience in building product software systems
- 5+ years of technical leadership experience

Tecton offers competitive salary, equity, and comprehensive benefits. The company values diversity and is an equal opportunity employer.

Staff Software Engineer role at Tecton, focusing on batch compute and query optimization for AI data preparation.

Software Engineer, Batch Compute

Tecton is a leader in MLOps solutions, providing a machine learning operations (MLOps) platform.

As a Technical Support Engineer at Tecton, you'll play a crucial role in ensuring clients' seamless use of the company's machine learning operations (MLOps) platform. Your primary responsibility will be providing expert technical assistance and troubleshooting guidance to customers, swiftly addressing any issues they encounter while using Tecton's platform. This role requires deep product knowledge, proficiency in relevant technologies and programming languages, and strong communication skills to effectively assist customers from diverse technical backgrounds.

In addition to reactive support, you'll take a proactive approach by monitoring platform performance and collaborating with internal teams to implement solutions and enhancements. Your contributions will extend beyond issue resolution to include the creation of knowledge base materials and training resources, empowering customers to optimize their use of Tecton's platform independently.

Key responsibilities include:
- Taking end-to-end ownership of customer issues
- Documenting bugs and building process documentation
- Writing comprehensive knowledge base articles
- Delivering against customer experience and efficiency targets
- Assessing and prioritizing customer cases
- Serving as a point of contact for customer matters

Required qualifications:
- 3+ years of experience
- Knowledge of SQL, Python, and/or PySpark
- Basic knowledge of networking

Nice-to-have qualifications:
- Familiarity with Machine Learning and Data Science tools
- Experience with data platforms and cloud services
- Past experience in customer-facing roles

This role offers a competitive salary range of $111,000 - $135,000 annually, along with equity and comprehensive benefits. Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees.

Join Tecton as a Technical Support Engineer, providing expert assistance for their MLOps platform. 3+ years experience required, remote work available.

Tecton Engineering Jobs

Tecton helps companies unlock the full potential of their data for AI applications by streamlining the process of preparing and delivering data to models.