Data Engineer, Machina Labs

$100-156k

+ Equity

SQL
AWS
Docker
Kubernetes
GCP
Python
Scala
Azure
Mid and Senior level
Los Angeles
Machina Labs

Manufacturing robotics and AI technology

Open for applications

Machina Labs

Manufacturing robotics and AI technology

21-100 employees

B2BArtificial IntelligenceManufacturingRoboticsMachine Learning

Open for applications

$100-156k

+ Equity

SQL
AWS
Docker
Kubernetes
GCP
Python
Scala
Azure
Mid and Senior level
Los Angeles

21-100 employees

B2BArtificial IntelligenceManufacturingRoboticsMachine Learning

Company mission

To accelerate the development and adoption of advanced sensors, controls, platforms and models that will enable the next generation of manufacturing.

Role

Who you are

  • 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

What the job involves

  • 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 pipeline and deployment of AI systems
  • 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

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

Machina Labs provides robotics and AI technology for the manufacturing industry, aiming to increase the speed of design lifecycles, whilst making them more flexible and of higher quality. The company leverages AI-driven robotics to automate tasks that otherwise require human interruption, with AI also being used to improve the cost efficiency, reusability, reliability, and sustainability of manufacturing cycles.

Whilst AI-driven robotics in the manufacturing industry is becoming increasingly common, Machina Labs has taken the unique approach of leveraging AI to identify opportunities for design lifecycle innovation. The company received early endorsements from partnerships with the U.S. Air Force and NASA as it has shown great potential to disrupt the manufacturing industry with a fresh approach to the use cases of AI and robotics.

Machina Labs has drawn in several investments in 2023, one with Lockheed Martin Ventures in January and the other from Yamaha Motor Ventures in February. The funding is set to be used to accelerate growth to meet customer demand, while expanding its range of alloys.

Insights

Top investors

Few candidates hear
back within 2 weeks

84% employee growth in 12 months

Company

Funding (1 round)

Jun 2020

$50m

LATE VC

Total funding: $50m

Company benefits

  • Remote Work Opportunities

Company values

  • BE A CRAFTS(WO)MAN - We bias towards action and iterative progress
  • CREATING A BETTER FUTURE FOR EVERYONE - We identify challenges and risks and then boldly commit to them
  • DRIVEN BY LOGIC AND DATA - We don’t fear failure as long as there is learning
  • PROGRESS > PERFECT - We operate with a strong sense of urgency to generate results
  • EGO IS THE ENEMY - We practice self-awareness, respect, trust, and transparency

Company HQ

Chatsworth, Los Angeles, CA

Founders

Experience as Program Manager for Relativity's Large Envelope Metal 3D Printing from 2016 to 2018. Data Science Advisor for Bird from 2018 to 2019, and Technical Advisor for Insight Data Science from 2019 to 2021.

Babak Raeisinia

(Head of Partnerships)

Initially served as the company's CTO until 2022. Experience as US Business Development Manager and Senior Alloy Design Engineer for Alloyed from 2017 to 2019. Principal of NEOS since 2019.

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