Data Engineer

Machina Labs, Inc

| Los Angeles, CA, USA

Employer Provided Salary: 100,000-156,000 Annually

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Company

Machina Labs is a Los Angeles based technology company combining AI and robotics to build the next generation of manufacturing capabilities. Founded in 2019 by aerospace, materials, and advanced manufacturing industry veterans driven to solve challenges of conventional manufacturing - Machina integrates cutting-edge artificial intelligence and robotics technologies to build agile, software-defined factories of the future.

Machina’s mission is to unlock manufacturing and innovation for all and has commercialized the first robotic sheet metal forming system and service that delivers production-quality parts to the most innovative companies in aerospace, automotive, industrial, and many other industries. Machina has assembled – and continues to expand - a world class team of operators, investors, and advisors to make this vision a reality.

Job Description

As a Data Engineer at Machina Labs, you will play a pivotal role in architecting and managing data pipelines critical for optimizing the performance and functionality of our robotic systems. You will collaborate closely with our software development, machine learning, and robotics teams to ensure seamless maintenance of our data infrastructure and deployment of AI systems.

Responsibilities

Design, implement, and manage end-to-end data pipelines that collect, process, and store sensor data from robotic systems.
Ensure data quality, consistency, and availability for both real-time and historical analysis.
Implement data transformation, feature engineering, and enrichment techniques to prepare data for training and validation.
Implement monitoring solutions to track the health and performance of deployed robotic systems and associated data pipelines.
Analyze performance metrics and proactively identify opportunities for optimization and improvement.
Collaborate with cross-functional teams to iteratively enhance system efficiency and response times
Collaborate closely with software developers, machine learning engineers, and robotics teams to ensure alignment on technical requirements and objectives.
Maintain comprehensive documentation for deployed data pipelines and system architecture.

Qualifications

Bachelor's, Master's, or PhD degree in Computer Science, Software Engineering, or related field.
3+ years of experience in data engineering.
Strong proficiency in programming languages such as Python, Scala, SQL, along with experience with popular data storage systems (e.g. Data Lakes).
In-depth knowledge of data engineering principles, ETL processes, and data storage solutions.
Experience managing and monitoring large sets of unstructured and high frequency data
Familiarity with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes).
Experience performing responsibilities related to ML Ops
Experience with cloud platforms (e.g., AWS, GCP, Azure) and related services.
Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.

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Technology we use

Engineering
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- C++Languages
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- RustLanguages
- ScalaLanguages
- SqlLanguages
- TypeScriptLanguages
- PandasLibraries
- ReactLibraries
- DockerFrameworks
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- KafkaFrameworks
- KubernetesFrameworks
- Node.jsFrameworks
- ScikitFrameworks
- SparkFrameworks
- TensorFlowFrameworks
- TerraformFrameworks
- TorchFrameworks
- CassandraDatabases
- HiveDatabases
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- GitHubServices
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Location

9410 Owensmouth Ave, Los Angeles, CA 91311

An Insider's view of Machina Labs, Inc

What’s the vibe like in the office?

Machina Labs culture has a very diverse, mission-driven and fun culture. Everyone is dedication to our mission and truly care about the exciting work that we do here. It's a fun vibe and we like to celebrate holidays, employee milestones, company BBQ’s, and cultural events.

Jessica

Office Manager

What does your typical day look like?

I get to come to work every day and play with giant robots! It's my 5-year-old dream come true, and the adult me too! No day is the same here because we're developing an entirely new manufacturing process, which demands creativity and out-of-the-box thinking. I expect daily intellectual stimulation, challenges and lots of fun!

Mark

Process Development Manager

How do you make yourself accessible to the rest of the team?

A true dynamic team is one where everyone has a voice, is involved and open to new ideas, approaches, and feedback – including the leadership team. Keeping open dialogue throughout the company is essential. I have an open-door policy, hold office hours, attend planning meetings for teams that I don’t directly work with, and am very hands on.

Edward

CEO

What's the biggest problem your team is solving?

We are building and deploying fast-inference Edge AI models to guide large industrial robotic arms in forging sheet metal from user-defined designs with sub-millimeter precision. Our long-term objective is to create the brain of a robotic craftsman.