Machine Learning Scientist

SmartRecruiters, Inc.; Chiasso; Hybrid; CHF 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Hybrid Chiasso office

Flexible work hours

International team

Volunteer days

Leave options for life events

Zusammenfassung

At lastminute.com is seeking a Machine Learning Scientist to join its Strategic Analytics team in Chiasso. The role is hybrid with a Chiasso office location and a 36 h/week schedule.

You will contribute to real-time ML systems and ranking algorithms, collaborating with ML scientists, software engineers, and project managers. The ideal candidate holds a PhD or MSc with several years in ML, is proficient in Python/SQL and ML libraries, and has hands-on experience with DL frameworks such as

Qualifikationen

• PhD in CS/Math/Physics or MSc with 3+ years in ML.
• Strong knowledge of supervised and unsupervised ML methods.
• Proficiency in Python and SQL with ML libraries.
• Experience with DL architectures and modern frameworks.
• Experience with uncertainty estimation techniques.

Aufgaben

• Develop real-time ML solutions for big data problems.
• Build ranking algorithms based on deep learning.
• Collaborate with ML scientists, software engineers, and PMs.

Kenntnisse

PhD/Master ML

ML algorithms

Python/SQL

Deep learning

Keras/TensorFlow or PyTorch

Uncertainty estimation

Creative problem solving

Collaborative mindset

Ausbildung

PhD in CS/Math/Physics or MSc with 3+ years ML

Tools

Keras

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

SciPy

MLflow

Jobbeschreibung

At lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.

We are looking for a Machine Learning Scientist to join our team of around 1,700 people worldwide to help us power up the travelers' journey for millions of holidaymakers. If you are a motivated machine learning scientist who loves to work with challenging real-world problems on big data, keep reading, as you might be the perfect fit for this job.

Job Description

Job Title - Machine Learning Scientist
Working model - hybrid at Chiasso office
Team - You will join the Strategic Analytics team in the Technology department.
Level - Professional
Location - Chiasso, Switzerland
Contract - Permanent - full-time (36 h/week)

What your impact will be

• Develop real-time machine learning solutions to deal with challenging real-world problems on big data
• Develop Ranking Algorithms based on deep learning
• Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

Your expertise

• A Ph.D. in Computer Science, Mathematics, or Physics, or a Master's degree with a minimum of 3 years of experience in machine learning.
• Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction)
• Good knowledge of Python and SQL, with knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow)
• Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, and Autoencoders)
• Experience with Keras (and TensorFlow) or PyTorch
• Experience in Uncertainty Estimation (Monte Carlo Dropout, Deep Ensembles)
• Able to find creative solutions to interesting problems
• Curious with a constant desire to learn and collaborate

Perks of working with us

How we work together

• An inclusive, friendly, and international environment (you’ll be working with colleagues from +10 countries and over 48 nationalities)
• Shorter working week, with a half working day on Fridays
• Flexible start and end of the working day
• Possibility to work from anywhere for a period of time per year defined according to local regulations

How we learn together

• Fri-Yays: half a day on Friday morning with a no-meeting mandate and dedicated to deep work, personal growth, learning and training and/or focus time.
• Professional and managerial skills development training paths, access to e-learning platforms such as O'Reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content

Other perks

• 2 paid days off per year for volunteering purposes
• Occasional social events to foster connections among colleagues
• Travel industry discounts and flash exclusive staff fares
• We support our employees through life's significant moments with leave options (e parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws.

Wish you were here? We do, too!

Selection process steps*

• HR interview (30 minutes)
• 1st interview (Manager 1 hour): Machine learning + Python coding
• 2nd interview (Director 45 min): Soft skills +machine learning knowledge
• Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply