We’re Hiring

StreamMosaic is always looking to hire talented and motivated people looking to change the semiconductor /electronics manufacturing industry!

The following positions are currently available.

Machine Learning Engineer
Full Stack Engineer
Sr. Data Scientist and Applied ML Scientist
QA Engineer


Machine Learning Engineer

[ Apply Online ] or email us at jobs@streammosaic.com

Description
Are you looking to make a big impact and write code from scratch, not just supporting old  legacy code? Do you want to get in at the ground level of an early-stage startup that already has a highly talented team and lots of customer traction and revenue? We’re transforming the semiconductor and electronics manufacturing industry with our AI platform that improves yield and lowers manufacturing costs at some of the largest chip makers in the world. We’re looking for machine learning engineers who are interested in implementing, improving, and scaling new and existing algorithms using open source machine learning libraries/frameworks or writing one from scratch. We look for some combination of: high creativity and productivity, depth and breadth of knowledge in the field, and the ability to implement and scale up state of the art and/or unproven algorithms. You’ll work closely with other data scientists and software engineers to implement feature engineering, data transformations, and machine learning algorithms from scripting languages to high performance code that can scale. We look for people who are self-motivated and passionate about the transformative potential of AI. This position presents an
exciting and unique opportunity to design/build the product and the platform from scratch utilizing high performance machine learning algorithms, data science and the associated frameworks.

StreamMosaic is a VC-funded startup in downtown San Jose.

Responsibilities:

  • Implementing scalable ML algorithms in production
  • Improving computational performance of ML algorithms
  • Interact with App Developers and Data Scientists to create clean API interfaces

Requirements

  • MS or PhD in Computer Science, OR, EE, Physics or related quantitative field
  • 3+ years of engineering experience with significant exposure to algorithm
    implementation/machine learning libraries/frameworks
  • Ability to analyze the bottlenecks and create high performance code
  • Good understanding of CPU and memory issues in parallel computing

Job Details

This work involves building robust ML models to achieve desired accuracy on metrics of customer interest (e.g. yield, tolerance). Broken into steps, the work is roughly an equal mix of tweaking core ML algorithms for enhanced performance and creating deployment-ready software.

This role offers a unique opportunity to deploy non-trivial ML models into production and seeing the impact of those models in action at some of the world’s largest chip manufacturers. This is not a Hadoop/Spark-focused big data role but rather an ML-focused role. Our deployment environment is markedly different from typical cloud deployment with constant access for updates or bug-fixes. Roughly stated, the production requirements are closer to a self-driving robot than a cloud-integrated image recognition service.

An ideal candidate has invested time in continuous learning and implementing algorithms either using an existing framework/library or from scratch and understands failure modes of various algorithms in production. Additionally, the ideal candidate has collaborated with Data Scientists to put ML code into production.

Location

  • South San Francisco Bay Area


Full Stack Engineer

[ Apply Online ] or email us at jobs@streammosaic.com

Description
Are you looking to make a big impact and write code from scratch, not just supporting old legacy code? Do you want to get in at the ground level of an early-stage startup that already has a highly talented team and lots of customer traction and revenue? We’re transforming the semiconductor and electronics manufacturing industry with our AI platform that improves yield and lowers manufacturing costs at some of the largest chip makers in the world. Not just machine learning, but AI. We’re seeking a full stack software engineer who can work on both web and application layers to help drive design and development of an enterprise-grade, production-ready, advanced AI platform. We look for people who are self-motivated and passionate about the transformative potential of AI. This position presents an exciting and unique opportunity to design/build the product and the platform from scratch utilizing high performance machine learning algorithms, data science and associated frameworks. StreamMosaic is a VC-funded startup in downtown San Jose.

Responsibilities:

  • Help design the software platform architecture
  • Development of the software platform
  • Manage software platform development to cope with large traffic requirements
  • Work towards the delivery of a production-ready platform per defined engineering specifications
  • Balance adding new features with the need for stability and performance
  • Grow development capabilities to align with the pace of business needs
  • Writing test plans, reports, and briefings

Requirements

  • MS or PhD in Computer Science or related field
  • Proficient in Java and relevant open source frameworks
  • Hands-on experience with open source UI frameworks
  • Should have the depth of knowledge/experience with either the front end or backend development/frameworks/libraries
  • Familiarity/Experience with UI design and development
  • 5+ years of professional experience in software engineering
  • Experience with relational/NoSQL databases
  • Extensive experience in test automation, including regression tests and integration tests
  • Proficiency in agile development methodologies
  • Track record of shipping products in a fast-paced environment
  • Experience in the analysis, design, and provision of hardware or virtual hardware to host multiple applications
  • Must be able to work independently and as part of a diverse interdisciplinary team
  • Communicates clearly to technical and non-technical audiences
  • Empathy with customer business challenges
  • Ability to map business problems to software and data science techniques
  • Strong experience in analyzing and correcting memory usage issues, multi-threading, and optimizing code for application performance

Location

  • South San Francisco Bay Area


Sr. Data Scientist and Applied ML Scientist

[ Apply Online ] or email us at jobs@streammosaic.com

Description
StreamMosaic is a VC-funded startup in San Jose. We’re helping large semiconductor and electronics manufacturers achieve higher yields and tighter process control by implementing AI in their production pipelines. Not just machine learning, but AI. We’re seeking a Web-Apps Layer Engineer to help drive design and development of an enterprise-grade, production-ready, advanced AI platform for the semiconductor and electronics manufacturing industries. We look for people who are self-motivated and passionate about the transformative potential of AI.

Responsibilities:

  • Drive large Machine Learning (ML) projects from concept to production
  • Take ownership of technical communication with customers
  • Engage with the Engineering team to put prototypes into production

Requirements

  • Masters in CS or PhD in quantitative eld (EE, OR, Physics).
  • 3-5 years of working experience as data scientist
  • Evidence of algorithm building work.
  • Evidence of coursework in Artificial Intelligence and ML.
  • Ability to create model-ready data from raw data, at scale.
  • Ability to translate business problems into data science pipelines.
  • Comfort with ML theory to recommend solutions beyond the standard libraries.
  • Understanding of the software development principles.
  • Ability to communicate technical ideas to non-technical audiences.
  • Empathy with customer business challenges.

Job Details
StreamMosaic is a VC-funded startup in San Jose. We’re helping large semiconductor and electronics manufacturers achieve higher yields and tighter process control by implementing Machine Learning in their production pipelines. This work involves building robust ML models to achieve desired accuracy on metrics of customer interest (e.g. yield, tolerance). Broken into steps, the work is roughly an equal mix of understanding manufacturing data, researching core ML algorithms and creating deployment-ready model packages.

This role offers an opportunity to deploy non-trivial ML models into production and seeing the impact of those models in action at some of the world’s largest chip manufacturers. As such, there are a few characteristics that we think are needed for success in this role. First, this is not a SQL-focused data analyst or Hadoop/Spark-focused big data role. Rather it is an ML-focused role which requires data manipulation abilities. Second, it is often required to open the black-box to tweak or combine the core algorithms. So comfort with ML theory is highly desired. Third, we require the trained models to work on field with no intervention. This is markedly different from deploying the models in “cloud” with constant access available for updates or bug-fixes. Roughly stated, the production requirements are closer to a self-driving robot than a cloud-integrated image recognition service.

An ideal candidate has invested time in continuous learning and implementing algorithms from scratch and understands failure modes of various algorithms. Additionally, the ideal candidate has collaborated with engineering teams to put ML code into production.

Location

  • South San Francisco Bay Area


QA Engineer

[ Apply Online ] or email us at jobs@streammosaic.com

Description
StreamMosaic is a VC-funded startup in San Jose. We’re helping large semiconductor and electronics manufacturers achieve higher yields and tighter process control by implementing AI in their production pipelines. Not just machine learning, but AI. We’re seeking a Web-Apps Layer Engineer to help drive design and development of an enterprise-grade, production-ready, advanced AI platform for the semiconductor and electronics manufacturing industries. We look for people who are self-motivated and passionate about the transformative potential of AI.

Responsibilities:

  • Design and implement tests
  • Debug and de ne corrective action
  • Create detailed, comprehensive and well-structured test plans
  • Track quality assurance metrics

Requirements

  • MS/MS in Computer Science, Engineering
  • Proven work experience in software development and quality assurance
  • 5+ years of professional experience as QA/Software Test engineer
  • Communicates clearly to technical and non-technical audiences
  • Empathy with customer business challenges
  • Ability to map business problems to software and data science techniques
  • General understanding of Data Science/Machine Learning models
  • Ability to debug/troubleshoot large sets of data related issues and formats


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