November Moderators and MCs
TMLS
We're looking for folks who can help us run our TMLS November event. This includes moderators and MC's who have a working knowledge of ML content and are comfortable speaking to our audience.
Data Engineer
KOHO Financial Inc
KOHO is a quickly scaling FinTech company, we're looking for a Data Engineer to help build and support our data infrastructure. Please apply through the link :)
Link:
https://jobs.lever.co/koho/2be220a6-449d-48f0-9818-8b09e523675f
Sr. Machine Learning Software Engineer
Beat
Working on Machine Learning at Beat’s Amsterdam hub, means you will work on high impact use cases across the domains of dynamic pricing, fraud detection, and dynamic dispatch with a strong focus on systems for making real-time decisions.
At Beat we do Machine Learning and Data Science with a product engineering mindset. In our Machine Learning chapter, you work with your colleagues in cross functional teams to translate product features into predictive modelling and machine learning problems. Exploratory analysis and hypothesis testing using the tools provided by Beat’s Big Data capabilities team help you build a deep understanding of the behaviour of our millions of daily users. You showcase how your models drive product features through rapid prototyping.
Then comes the best part: taking it to production. You care deeply about scalability and performance of training and inference. You work with other teams to productionise and monitor pipelines and setup telemetry data collection required to monitor your model in production. This way, you take on full ownership of your models running in production.
Link:
https://thebeat.co/en/careers/?intl=1
Data Scientist (Andi)
Veeva Software Inc
See LinkedIn or Lever.
Please do not send me your resume, rather apply on-line. Thanks. https://jobs.lever.co/veeva/9a8fed60-321c-4a7b-995a-fca07fccd358
Some keywords
NLP, reinforcement learning, statistics, profiling, validation, operationalization.
Link:
None
Senior ML Engineer
King Digital Entertainment
** about the role**
As an ML Engineer at King, you will be researching, prototyping and implementing to advance our games and business applications to the next level by using the latest in the field of Machine Learning (ML) including deep neural networks for supervised, unsupervised and reinforcement learning, generative models and more conventional ML methods.
** required skills **
You probably have hands on experience in various ML projects working both with engineering and modeling. Or perhaps you have experience digging into data, in a role within business intelligence or data science, but your curiosity took over and you wanted to solve problems through automation and AI/ML solutions. You like to experiment with data engineering, feature engineering and algorithms, all to build top- class solutions.
- Degree in Computer Science, mathematics, machine learning or equivalent
- Solid working experience of Python
- Working experience of Tensorflow or similar framworks
- Experience in applied AI / ML applications
** bonus skills **
Have any sweet experience with one or some of the following areas? Then we would sure like to hear about them!
- Development in or exposure to environments/sw products in C++ and/or Java
- Contributions to open source projects
- Mobile products (iOS/Android game development)
We know that you are into games on some level (casual, console, board games, Uno etc.)
Link:
https://careers.king.com/jobs/job/15206-senior-machine-learning-engineer-technology/
Deep Learning Engineer
YData
We're looking for a Deep Learning Engineer who will help us shape our team, drive the company to the next level, and have the most direct influence on our success.
Want to write the history of data science and artificial intelligence with us? Just click on apply now. We're excited to hear from you!
Link:
https://angel.co/company/ydata/jobs/683526-deep-learning-engineer
Sr. Machine Learning Software Engineer
Beat
Working on Machine Learning at Beat’s Athens hub, means you will work on high impact use cases across the domains of dynamic pricing, fraud detection, and dynamic dispatch with a strong focus on systems for making real-time decisions. At Beat we do Machine Learning and Data Science with a product engineering mindset. In our Machine Learning chapter, you work with your colleagues in cross functional teams to translate product features into predictive modelling and machine learning problems. Exploratory analysis and hypothesis testing using the tools provided by Beat’s Big Data capabilities team help you build a deep understanding of the behaviour of our millions of daily users. You showcase how your models drive product features through rapid prototyping. Then comes the best part: taking it to production. You care deeply about scalability and performance of training and inference. You work with other teams to productionise and monitor pipelines and setup telemetry data collection required to monitor your model in production. This way, you take on full ownership of your models running in production.
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If you are interested, please use the link in order to apply for this role. Clicking the "I'm interested" button does not make you an applicant. Thank you!
Link:
https://thebeat.co/en/careers/?intl=1
Sr. Machine Learning Software Engineer
Beat
Working on Machine Learning at Beat, means you will work on high impact use cases across the domains of dynamic pricing, fraud detection, and dynamic dispatch with a strong focus on systems for making real-time decisions. At Beat we do Machine Learning and Data Science with a product engineering mindset. In our Machine Learning chapter, you work with your colleagues in cross functional teams to translate product features into predictive modelling and machine learning problems. Exploratory analysis and hypothesis testing using the tools provided by Beat’s Big Data capabilities team help you build a deep understanding of the behaviour of our millions of daily users. You showcase how your models drive product features through rapid prototyping. Then comes the best part: taking it to production. You care deeply about scalability and performance of training and inference. You work with other teams to productionise and monitor pipelines and setup telemetry data collection required to monitor your model in production. This way, you take on full ownership of your models running in production.
-------
If you are interested, please use the link in order to apply for this role. Clicking the "I'm interested" button does not make you an applicant. Thank you!
Link:
https://thebeat.co/en/careers/?intl=1
Data Scientist
RBC
Experience in Machine Learning, data mining and statistics.
Strong data profiling, cleaning and mining
Expert working knowledge in Python, R, Java, SQL
Masters or PHD in Mathematics, Statistics or Computer Science
Experience in Big Data technologies
Link:
None
ML Engineer
Toyota Research Institute-Advanced Development, Inc.
The Automated Mapping Platform team is responsible for developing a new high definition mapping cloud platform by integrating sensor data from vehicles and global imagery from satellites. It is an open software platform based on a contribution model.
As a Machine Learning Engineer in the Automated Mapping Platform team, you are a highly skilled software engineer and especially a specialist in Python or C++ playing a key role building our state-of-art machine learning pipeline. You are willing to utilize your “superpower” in Deep Learning and Image Processing, and you are also enthusiastic to learn and leverage cutting edge mapping technology to build a global ecosystem for the emerging new automated mobility industry.
Responsibilities
Design and develop robust machine learning pipelines in different complex scenarios
Design and build state-of-art machine learning algorithms in automated mapping industries from aerial/satellite imagery and probe data
Involved in the process of maintaining the map database used by millions users at global scale.
Work closely with top solution engineers in cross-functional teams to determine quality, responsibility and associated timelines
Minimum Qualifications
Link:
https://jobs.lever.co/tri-ad/6c9985cd-85c7-4f9b-a1ae-d7243062937f
Sr. Data Scientist
Flipp
We are looking for a Sr. Data Scientist to create capabilities and analyses that can be leveraged to strengthen the data products and data driven decision making across Flipp. In this role, you will work with our Analytics, Product, and Engineering teams to further the use and understanding of data across the organization. Lastly, you will mentor Data Scientists while raising the standard for analytics amongst the team.
Link:
https://grnh.se/4d043f5f1us
Technical Product Manager - Data
Flipp
We are looking for a Technical Product Manager who will drive the planning, execution, validation, iteration, and success measurement of key technical initiatives by helping to define business and project requirements that support Flipps’ overall business strategy. This position is within our Data Engineering team. You will work with stakeholders and cross-functional teams to plan, design and execute on technical integrations, new products and features.
Link:
https://grnh.se/ed0938ee1us
Blockchain Instructors
York University
Multiple openings for part-time instructors of our new blockchain development program. Candidate needs many years of development experience and some experience teaching or training adults in education or workplace setting. Drop Sean Woodhead a DM for more details and link to full job posting.
People Analytics Instructor
York University
One opening for part-time instructor of our new people analytics program. Candidate needs many years of analytics experience in HR and some experience teaching or training adults in education or workplace setting. Drop Sean Woodhead a DM for more details and link to full job posting.
