Tensor Technologies is looking for an enthusiastic and passionate Machine Learning Engineer with 5+ years of commercial experience leveraging large datasets. Tensor Technologies’ research and trading are driven by big data, and the resulting algorithms are run on high-performance hardware using software that is developed in-house. The ideal candidate for this role has a verifiable track record in developing Machine Learning solutions that have delivered significant business impact. This presents a very good opportunity for an individual in the middle stages of their career in or out of finance to participate in very important projects in a fast-paced environment. Your main responsibilities:
Develop and improve Machine Learning pipelines with the goal to optimize the trading strategies
Develop software and tools around the Machine Learning pipelines to make the trading strategy generation as efficient as possible
Research and prototype state-of-the-art Machine Learning models with the focus on optimizing profitability of the trading strategies
Assess quality controls around different approaches as well as suggesting new approaches in research
Design processing pipelines for terabytes of price data
Requirements:
5+ years of commercial development of Machine Learning frameworks and large-data processing systems in the technology or finance industry
Ph.D. degree or a Master’s degree with relevant experience in Computer Science, Mathematics, Physics or a related field
Excellent programming skills in Python and Scala
In-depth experience with Spark (more than black-box usage)
Excellent skills in quantitative analysis, programming, and statistical modeling
Track record of gathering, matching, and processing large data sets from varied sources and of different characteristics
Experience in financial markets or exposure to trading is an advantage
What we offer:
We apply the newest technologies and strategies in order to gain advantage over our competitors.
We rely on quick feedback loops and we release early and often to profit from incremental benefits as they are developed
You will be able to challenge your coding and research skills and grow constantly while collaborating with like-minded experts in a dynamic environment that encourages continuous learning.
Attractive office locations in the center of Switzerland in Zug and Zurich.
The opportunity to join a team that has achieved considerable success in a relatively short amount of time and is now growing the business.
A compensation and bonus scheme that’s unprecedented in the industry.
Please apply via our careers site. We look forward to getting to know you!
02/12/2019
Full time
Tensor Technologies is looking for an enthusiastic and passionate Machine Learning Engineer with 5+ years of commercial experience leveraging large datasets. Tensor Technologies’ research and trading are driven by big data, and the resulting algorithms are run on high-performance hardware using software that is developed in-house. The ideal candidate for this role has a verifiable track record in developing Machine Learning solutions that have delivered significant business impact. This presents a very good opportunity for an individual in the middle stages of their career in or out of finance to participate in very important projects in a fast-paced environment. Your main responsibilities:
Develop and improve Machine Learning pipelines with the goal to optimize the trading strategies
Develop software and tools around the Machine Learning pipelines to make the trading strategy generation as efficient as possible
Research and prototype state-of-the-art Machine Learning models with the focus on optimizing profitability of the trading strategies
Assess quality controls around different approaches as well as suggesting new approaches in research
Design processing pipelines for terabytes of price data
Requirements:
5+ years of commercial development of Machine Learning frameworks and large-data processing systems in the technology or finance industry
Ph.D. degree or a Master’s degree with relevant experience in Computer Science, Mathematics, Physics or a related field
Excellent programming skills in Python and Scala
In-depth experience with Spark (more than black-box usage)
Excellent skills in quantitative analysis, programming, and statistical modeling
Track record of gathering, matching, and processing large data sets from varied sources and of different characteristics
Experience in financial markets or exposure to trading is an advantage
What we offer:
We apply the newest technologies and strategies in order to gain advantage over our competitors.
We rely on quick feedback loops and we release early and often to profit from incremental benefits as they are developed
You will be able to challenge your coding and research skills and grow constantly while collaborating with like-minded experts in a dynamic environment that encourages continuous learning.
Attractive office locations in the center of Switzerland in Zug and Zurich.
The opportunity to join a team that has achieved considerable success in a relatively short amount of time and is now growing the business.
A compensation and bonus scheme that’s unprecedented in the industry.
Please apply via our careers site. We look forward to getting to know you!
We are a small and specialized team that develops data products using novel data science methods and visualization tools with the aim to support decision makers with data-driven insights. On that path, we are looking for a highly motivated intern to support our growth.
Your work:
You will support the development of a database capturing multiple dimensions of economic and social activity. This task involves accessing APIs, web scraping, but also extracting information from Excel and pdf files.
Transformation of datasets in R or Python
You will support the development of data products using Business Intelligence software (e.g. Qlik Sense, Power BI, Tableau)
Creative development of new measures and variables
Your profile:
Currently pursuing or recently completed a university degree preferably in Statistics, Computer Science, Mathematics, Physics, Economics or any other subject related to data science
A strong information technology background is highly appreciated
Good knowledge of Python and/or R
Experience with database structures would be an asset
Experience with Business Intelligence tools or willingness to learn it
Fluent in English; German and/or French would be a plus
You are dedicated, creative, structured and a self-starter with a strong hands-on mentality
Passion for data!
What’s in it for you:
You will be part of a dynamic, fast-growing startup with a small and ambitious team of talented people
A flexible and creative work environment
The ability to work on a wide variety of data science solutions for a range of clients
Experience in a startup
The potential for a full-time contract
Starting date: Upon agreement
Duration: 6 months or upon agreement
27/10/2019
Internship
We are a small and specialized team that develops data products using novel data science methods and visualization tools with the aim to support decision makers with data-driven insights. On that path, we are looking for a highly motivated intern to support our growth.
Your work:
You will support the development of a database capturing multiple dimensions of economic and social activity. This task involves accessing APIs, web scraping, but also extracting information from Excel and pdf files.
Transformation of datasets in R or Python
You will support the development of data products using Business Intelligence software (e.g. Qlik Sense, Power BI, Tableau)
Creative development of new measures and variables
Your profile:
Currently pursuing or recently completed a university degree preferably in Statistics, Computer Science, Mathematics, Physics, Economics or any other subject related to data science
A strong information technology background is highly appreciated
Good knowledge of Python and/or R
Experience with database structures would be an asset
Experience with Business Intelligence tools or willingness to learn it
Fluent in English; German and/or French would be a plus
You are dedicated, creative, structured and a self-starter with a strong hands-on mentality
Passion for data!
What’s in it for you:
You will be part of a dynamic, fast-growing startup with a small and ambitious team of talented people
A flexible and creative work environment
The ability to work on a wide variety of data science solutions for a range of clients
Experience in a startup
The potential for a full-time contract
Starting date: Upon agreement
Duration: 6 months or upon agreement
Ihre Aufgabe Entwicklung von Softwareapplikationen und Qualitätsprüfverfahren basierend auf neuronalen Netzen (Vision, Sensordaten) Umsetzung von neusten Konzepten aus dem Bereich Deep Learning in Industrie- und Forschungsprojekten Arbeiten in ESA/Space Projekten Verantwortlichkeit für die Betreuung und Weiterentwicklung von bestehenden Installationen bei Kunden Mitgestaltung der internen Forschungsroadmap Mitwirkung in interdisziplinären Projekten Interaktion mit Kunden und Forschungspartnern auf nationaler und internationaler Ebene. Ihr Profil Sie verfügen über einen Master oder PhD in Informatik, Neuroinformatik oder Maschinenbau (Fokus Machine Learning, Vision, Robotik) Sie haben Fachwissen in einem oder mehreren der folgenden Bereiche: Predictive Maintenance mit Machine Learning RNN, CNN, GAN Bildverarbeitung 2D/3D Machine/Process Health Monitoring Augmented (Mixed) Reality Parallelcomputing mit CUDA Hardwarenahe Systementwicklung Sie kennen eine oder mehrere der folgenden Programmiersprachen: Python, TensorFlow, C#, OpenCV, CUDA Sie arbeiten strukturiert und haben eine analytische Vorgehensweise Sie zeichnen sich durch eine schnelle Auffassungsgabe und kreative Ideen aus Sie kommunizieren offen und arbeiten gerne in interdisziplinären Teams Sie beherrschen Deutsch und Englisch in Wort und Schrift, Französischkenntnisse sind von Vorteil. Wir bieten Das CSEM bietet ein anregendes und multidisziplinäres Arbeitsumfeld mit der Gelegenheit, mit nationalen und internationalen Unternehmen zu arbeiten. Neben ausgezeichneten Sozialleistungen bieten wir Ihnen die Gelegenheit, Ihre Fähigkeiten in einem hochtechnologischen, multikulturellen Unternehmen mit einer mitarbeiterorientierten Kultur weiterzuentwickeln. Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen. A611
02/12/2019
Full time
Ihre Aufgabe Entwicklung von Softwareapplikationen und Qualitätsprüfverfahren basierend auf neuronalen Netzen (Vision, Sensordaten) Umsetzung von neusten Konzepten aus dem Bereich Deep Learning in Industrie- und Forschungsprojekten Arbeiten in ESA/Space Projekten Verantwortlichkeit für die Betreuung und Weiterentwicklung von bestehenden Installationen bei Kunden Mitgestaltung der internen Forschungsroadmap Mitwirkung in interdisziplinären Projekten Interaktion mit Kunden und Forschungspartnern auf nationaler und internationaler Ebene. Ihr Profil Sie verfügen über einen Master oder PhD in Informatik, Neuroinformatik oder Maschinenbau (Fokus Machine Learning, Vision, Robotik) Sie haben Fachwissen in einem oder mehreren der folgenden Bereiche: Predictive Maintenance mit Machine Learning RNN, CNN, GAN Bildverarbeitung 2D/3D Machine/Process Health Monitoring Augmented (Mixed) Reality Parallelcomputing mit CUDA Hardwarenahe Systementwicklung Sie kennen eine oder mehrere der folgenden Programmiersprachen: Python, TensorFlow, C#, OpenCV, CUDA Sie arbeiten strukturiert und haben eine analytische Vorgehensweise Sie zeichnen sich durch eine schnelle Auffassungsgabe und kreative Ideen aus Sie kommunizieren offen und arbeiten gerne in interdisziplinären Teams Sie beherrschen Deutsch und Englisch in Wort und Schrift, Französischkenntnisse sind von Vorteil. Wir bieten Das CSEM bietet ein anregendes und multidisziplinäres Arbeitsumfeld mit der Gelegenheit, mit nationalen und internationalen Unternehmen zu arbeiten. Neben ausgezeichneten Sozialleistungen bieten wir Ihnen die Gelegenheit, Ihre Fähigkeiten in einem hochtechnologischen, multikulturellen Unternehmen mit einer mitarbeiterorientierten Kultur weiterzuentwickeln. Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen. A611
Our team is building the platform Squirro, a Unstructured Data Discovery and Analysis platform. We combine our unique Smart Filter technology with a very easy-to-use interface so that you can easily and quickly unearth gold in your landfills of digital data.
Responsibilities
Bring machine learning, collaborative filtering, NLP, and deep learning methods to our core Squirro platform
Prototype new algorithms, evaluate with experiments, and later productise solutions
Develop new IP to further expand Squirro’s USPs
Work hands on with our team of backend engineering team while collaborating closely with our customer success and product teams
Provide consulting for customer specific applications of Squirro with respect to solutions based on machine learning when needed.
Required Qualifications
Ph.D. or M.Sc. in Machine Learning, or related field preferred
You have experience implementing machine learning systems at scale in Java, Scala, Python or similar (not just R or Matlab)
You have a strong mathematical background in statistics and machine learning
You care about agile software processes, data-driven development, reliability, and responsible experimentation
You preferably have experience with data processing and storage frameworks like Hadoop, Scalding, Spark, Storm, Cassandra, Kafka, etc.
You preferably have machine learning publications or work on open source to share with us
Good communication skills with fluency in English
Preferred Qualifications and Experience
Experience with information retrieval technologies (Elasticsearch, Lucene)
Work permit in Switzerland, which is given for citizens of EU and EFTA member states or work permit in the UK
About the team
Squirro is a Swiss startup. We are a team of passionate Internet geeks and entrepreneurs and one of the most experienced startup teams around. We love Python and ElasticSearch on the server side and JavaScript with Backbone.js on the client side. We work with Git, believe in testing, code reviews, continuous integration and continuous deployment. Our work is structured with Scrum. Our compensations package includes shares in the company because we believe our employees are our biggest asset.
Our headquarter is in located in Zurich, Switzerland.
04/11/2019
Full time
Our team is building the platform Squirro, a Unstructured Data Discovery and Analysis platform. We combine our unique Smart Filter technology with a very easy-to-use interface so that you can easily and quickly unearth gold in your landfills of digital data.
Responsibilities
Bring machine learning, collaborative filtering, NLP, and deep learning methods to our core Squirro platform
Prototype new algorithms, evaluate with experiments, and later productise solutions
Develop new IP to further expand Squirro’s USPs
Work hands on with our team of backend engineering team while collaborating closely with our customer success and product teams
Provide consulting for customer specific applications of Squirro with respect to solutions based on machine learning when needed.
Required Qualifications
Ph.D. or M.Sc. in Machine Learning, or related field preferred
You have experience implementing machine learning systems at scale in Java, Scala, Python or similar (not just R or Matlab)
You have a strong mathematical background in statistics and machine learning
You care about agile software processes, data-driven development, reliability, and responsible experimentation
You preferably have experience with data processing and storage frameworks like Hadoop, Scalding, Spark, Storm, Cassandra, Kafka, etc.
You preferably have machine learning publications or work on open source to share with us
Good communication skills with fluency in English
Preferred Qualifications and Experience
Experience with information retrieval technologies (Elasticsearch, Lucene)
Work permit in Switzerland, which is given for citizens of EU and EFTA member states or work permit in the UK
About the team
Squirro is a Swiss startup. We are a team of passionate Internet geeks and entrepreneurs and one of the most experienced startup teams around. We love Python and ElasticSearch on the server side and JavaScript with Backbone.js on the client side. We work with Git, believe in testing, code reviews, continuous integration and continuous deployment. Our work is structured with Scrum. Our compensations package includes shares in the company because we believe our employees are our biggest asset.
Our headquarter is in located in Zurich, Switzerland.
