Team Lead Support Engineer

Solutions and technical support engineers, is looking for you.
Do you want to build the future of data science? is transforming AI and data science with a code-first platform helping the world’s largest companies scale their machine learning with an unparalleled end-to-end solution.

We’re a well funded, fast growing start up transforming AI and data science with a code-first platform helping the world’s largest companies scale their machine learning with an unparalleled end-to-end solution. We need hands-on technical Solutions Engineers to join our team.

We are looking for people who are:

Very technical and great at solving tech issues
Have excellent English
Can offer high quality customer service
Are available full time
Linux/Unix OS skills – A must (including installation, design, troubleshooting etc)
Experience working with Docker and Kubernetes and knowledge of GitHub and Jira
Understanding of Cloud technologies (AWS, Google Cloud, etc.) and Open-Source systems like docker and Kubernetes

Come and change the future of data science with us.

Bigabid is a data science company bent on revolutionizing the app marketing industry.
It is a 2nd-generation user acquisition and re-engagement DSP optimized for app developers.

We use a wide range of state-of-the-art ML techniques to analyze TBs of data and profile hundreds of millions of users through multiple proprietary data sources.

We process TBs of new data every day (PBs overall).
This data is used to power our Machine Learning predictions, business critical metrics and analytics used to power our decision making.

Bigabid is a fast-growing startup founded in 2015 by an experienced team of serial entrepreneurs and backed by some of the most prominent angel investors in Israel.

We are looking for a talented leader that can help us design the next generation data architecture and tools for the data powering our company.
We are looking for individuals who can bring software engineering best practices into building both business and technical critical data pipelines.
Having excellent reliability for such a large and distributed cloud infrastructure is paramount to a data-driven company like Bigabid.

Your team's goal is to create amazing ground breaking tools to make the data scientists more productive and agile.

If you love working on complicated network pipelines, you understand the importance of reliable data and have felt the pain of big data inconsistencies, and you're the type who thinks of great solutions and want to bring them to life, BigaBid is your best challenge.


  • Evangelize operational best practices and continuously look for opportunities to automate and build tools to lower operational barriers, improve clarity on problematic areas, and improve reliability.
  • Lead and grow a team of top-talent senior data engineers.
  • Transform our data architecture for massive scale and high performance.
  • Develop and automate large scale, high-performance data processing systems to drive Bigabid business growth and improve the product experience.
  • Design the architecture and schemas for the tables and be the technical lead for architecting it to be extendable, testable, maintainable and debuggable.
  • Design data models for optimal storage and retrieval, and optimize the data architecture to meet critical product and business requirements.
  • Understand logging and how it impacts the rest of our data flow, architect logging best practices where needed.
  • Develop research tools for our researchers from the Data Science and Data Analysis teams.
  • Preserve quality over the research teams’ code.


  • 8+ years of relevant industry experience.
  • People leader and a technical leader.
  • Passion for building and motivating teams to reach their potential.
  • You are a strong partner and can drive cross-functional projects forward.
  • Experience building internal infrastructure that is shared across teams.
  • Working with data on the TBs scale.
  • Experience designing, building and operating robust distributed systems.
  • Strong skills of relational databases and query authoring (SQL).
  • Experience with Python is preferred, deep knowledge of PySpark – a plus.
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices – a plus
  • Experience with Machine Learning – a plus

Mobileye-Intel's autonomous driving group in Haifa (Matam park) is looking for a senior SW engineer/tech lead to join our deep-learning platform team.

The Mobileye solution for autonomous driving is heavily based on deep-learning networks. The Mobileye platform has multiple microprocessors (ASIC) designed as hardware accelerators for deep-learning inference. We are looking for senior SW/engineers/tech lead to develop and lead the development of middleware and tools for inference acceleration, involving hundreds of complex deep-learning networks. This middleware involves quantization, parallelism, memory/caching optimizations, advanced scheduling techniques and more. This is an exciting opportunity to work on the intersection between compute acceleration and deep-learning domains, towards the next revolution of autonomous vehicles.

If you are bright SW engineer, with curiosity to learn new technologies, and with the passion to develop and lead innovative products, please come and join our team!

Minimum qualifications:

  • B.SC or Master's degree in Computer Science or Computer Engineering from a leading institute
  • At least 6+ years of experience as SW development engineer of large-scale systems.
  • Proven experience in domains of distributed/parallel systems, or system software/middleware for embedded/servers.
  • Significant expertise in C/C++
  • Good understanding of computer architecture, and performance tuning/optimizations

Preferred qualifications:

  • Tech lead experience
  • Experience with acceleration programming e.g., OpenCL, Cuda
  • Experience with deep-learning, computer vision, or image processing

ML Adviser/Mentor


StikiPixels is a game studio based in London, UK.
We keep developing a unique online game: Occupy White Walls.
OWW ( is a pioneering online game where players build and curate virtual art galleries, drawing on a growing list of artworks by both famous and emerging artists.

At the heart of OWW is DAISY, a cutting-edge AI recommendation engine that matches individual players with artworks that are most likely to resonate with.

There are over 50k players and 5.5k artworks in our collection currently and both numbers are expected to grow dramatically. Check out some of the reviews on our Steam page, some people like us…

Our dataset (or art choices and users over time) is totally unique and keep growing, while we managed to get the ML 'working' we want to push it to the next level and this is beyond our core skills as game developers.

This is where you come in.

We are looking for a specialist mentor who has the theoretical background but also not afraid of writing code if needed, and can help of develop this further, both from a data science perspective and implementation.

You should have a passion for Art, Discovery/Recommendation and games. As well as 3-5 years of experience in real world ML applications ideally.

This is an advisory position, 1 day per week remotely.
It may suit someone who is already employed full time and maybe looking for something a bit more interesting/cool to do. and this may grow as the company and business develops.

Spoken Russian is a very minor advantage. (We're a remote team but work in English).

Curious? Please email a CV and a cover letter to – Subject: DAISY Sent me

Looking forward,
The Pixels

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