Software Engineer, Machina Labs
Data
$100-156k
+ Equity
Manufacturing robotics & AI technology
Job no longer available
Manufacturing robotics & AI technology
21-100 employees
Job no longer available
$100-156k
+ Equity
21-100 employees
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 a related field
- 3+ years of experience in Software Engineering or 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 stores (e.g., Kafka)
- Extensive experience building and managing end-to-end ETL pipelines
- 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 Software Engineer (Data) 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
Our take
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 US Air Force and NASA, as it has shown great potential for disruption.
The company has also drawn in several investments which has supported the acceleration of growth to meet customer demand, while also expanding a its range of alloys. Its continues to make impressive partnerships and overall the future looks bright for Machina Labs.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Jun 2020
$50m
LATE VC
Total funding: $50m
Company benefits
- Remote Work Opportunities
Company HQ
Chatsworth, Los Angeles, CA
Leadership
Edward Mehr
(Co-Founder & CEO)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
(Co-Founder & 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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