DIVE is an AI platform for deep video analysis and
personalization. Our workspace encourages fresh ideas, creative thinking
and rewards visionary, passionate individuals. We pride ourselves on a
culture that allows you to share, collaborate and be yourself in a
highly dynamic, international and inclusive workplace. We are seeking an
accomplished Senior Data Science Engineer. In this
role, you’ll be embedded inside a vibrant team of data scientists. You
Will be expected to help conceive, code, and deploy data science models
at scale as a product, using the latest industry tools. Important skills
include data wrangling, engineering end to end processes with AI/ML
foundations, developing models, and testing metrics. You can expect
to...
You are expected to:
- Define and optimize data sources to make them “machine learning ready”.
- Work
with data scientists to create and refine features from the underlying
data and build pipelines to train and deploy models.
- Integrate data and algorithmic processes to create products based on data
- Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
- Work
cross functionally with product managers, data scientists and product
engineers, and communicate results to peers and leaders, to work on an
MVP approach.
The expertise we’re looking for:
- BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
- Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- Knowledge of data query and data processing tools (i.e. SQL)
- Computer
science fundamentals: data structures, algorithms, performance
complexity, and implications of computer architecture on software
performance (e.g., I/O and memory tuning).
- Software
engineering fundamentals: version control systems (i.e. Git, Github) and
workflows, and ability to write production-ready code.
- Mathematics fundamentals: linear algebra, calculus, probability
- Interest in reading academic papers and trying to implement state-of-the-art experimental systems
- Experience using deep learning architectures
- Experience deploying highly scalable software supporting millions or more users
- Experience with GPU acceleration (i.e. CUDA and cuDNN)
- Experience with integrating applications and platforms with cloud technologies (i.e. AWS and Azure)
What DIVE offers:
· Offices with great atmosphere, young talented
team members eager to do something big. Prime office location in the
heart of the city of Madrid
· Flexible Payment Plan
· Become part of a growing start-up with global aspirations
· Flexibility in the choice of vacation days aligned with team members
· A variety of breakfast snacks with coffee as well as fresh fruit to regain strength
·
Although our focus is on our product sometimes throughout the
year we sign up to participate in activities such as marathons and
solidary races
· And because all is not work, we organize
“Divebeers” events, lunch outings to discover new restaurants in the
city centre and other fun activities