Full-Time

Machine Learning Engineer

Confirmed live in the last 24 hours

Machina Labs

Machina Labs

51-200 employees

Integrates robotics and AI for manufacturing

Robotics & Automation
Industrial & Manufacturing
Aerospace
Defense

Compensation Overview

$122k - $156kAnnually

Junior, Mid

Los Angeles, CA, USA

This position is onsite in Los Angeles, CA.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Airflow
Jupyter
Data Science
Apache Spark
Hadoop
Databricks
Requirements
  • Bachelor’s, MS or Ph.D. in related fields (Data Science, Computer Science and Machine Learning, Statistics or a quantitative-related field) or equivalent professional experience.
  • 2+ years of experience with machine learning systems, algorithms or applications such as deep learning and time series analysis.
  • Startup / early product development experience.
  • Good understanding of fundamental CS algorithms and their scaling behaviors in data structures, algorithms, and software design.
  • Strong programming background, with extensive experience in Python.
  • In-depth knowledge of build/release systems and process.
  • Experience working with data warehouses, data lakes, and ETL.
  • Experience working with big data platforms (Hadoop, Spark, Hive) and orchestration frameworks (Airflow) and analytic environments (Databricks, Sagemaker, Jupyter).
  • Able to quickly learn new technologies.
  • Experience in fast-paced iterative design and manufacturing environments.
  • Strong communicator who can explain complex topics to both a technical and non-technical audience.
  • Experience solving complex problems with little to no supervision on schedule as an individual or as a member of an integrated team.
Responsibilities
  • Work closely with the Engineering team to uncover opportunities for machine learning automation and predictive modeling across all Machina Labs offerings.
  • Perform data mining to find interesting and impactful data and finally develop, train and deploy models.
  • Define proper metrics for each project that can tie into the business objective.
  • Perform data cleaning and ETLs to extract relevant features for modeling.
  • Help other members of the team with data analysis and proper interpretation of data.
  • Proper A/B testing of different solutions or models.
  • Build pipeline that supports running multiple machine learning models in parallel in production.
  • Build monitoring tools to understand the data quality and performance of complex systems.
  • Empathetically help other engineers grow.
  • Actively participate in the interview process.

Machina Labs focuses on enhancing the manufacturing industry by using robotics and artificial intelligence to speed up production and design processes. Their technology allows clients to move from design to production in a matter of days instead of months. This is particularly beneficial for clients in the aerospace and defense sectors, including aircraft and satellite manufacturers, as well as the U.S. Government, who need to quickly develop and deploy advanced equipment. Additionally, Machina Labs serves manufacturers in heavy equipment sectors like Energy, Marine, and Construction, providing them with durable and cost-effective sheet metal products. The company stands out from competitors by offering a comprehensive system that not only improves speed but also enhances the quality and reliability of manufactured products. The main goal of Machina Labs is to empower manufacturers to innovate and produce efficiently, ultimately transforming the way products are made.

Company Stage

Series B

Total Funding

$47M

Headquarters

Los Angeles, California

Founded

2019

Growth & Insights
Headcount

6 month growth

8%

1 year growth

44%

2 year growth

200%
Simplify Jobs

Simplify's Take

What believers are saying

  • Securing a $32 million Series B investment positions Machina Labs for significant growth and technological advancements.
  • The five-year lease for a 60,000-square-foot manufacturing warehouse indicates strong business expansion and operational scaling.
  • Winning contracts with the U.S. Air Force validates the reliability and effectiveness of their technology, opening doors for further governmental and defense-related opportunities.

What critics are saying

  • The high dependency on aerospace and defense sectors could make the company vulnerable to fluctuations in government spending and policy changes.
  • Rapid technological advancements in AI and robotics require continuous innovation, which can be resource-intensive and challenging to sustain.

What makes Machina Labs unique

  • Machina Labs integrates advanced robotics and AI to drastically reduce production times, setting it apart from traditional manufacturing methods.
  • Their Deployable System offers unparalleled portability, enabling on-site production for clients like the U.S. Air Force, which is a unique value proposition.
  • The company's focus on rapid production and design iteration specifically caters to high-demand industries such as aerospace and defense, unlike more generalized manufacturing solutions.

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