Machine Learning Engineer

Liftoff Mobile; Lacaussade; Sur place; EUR 45 000 - 70 000; Plein temps

Résumé du poste

A leading growth acceleration platform in the mobile industry is seeking an experienced Data Scientist to design and implement machine learning models. The candidate will analyze user data, improve ad relevance, and work closely with engineering teams to optimize algorithms. Ideal for someone with a strong background in computer science or related fields and an eagerness to tackle unique modeling challenges.

Qualifications

• 3+ years experience in a relevant field.
• Proficient in Python and SQL.
• Expertise in machine learning and statistical modeling.

Responsabilités

• Design and implement machine learning models and algorithms.
• Analyze data to define patterns and user behaviors.
• Collaborate with teams to optimize model performance.

Connaissances

Machine Learning

Data Analysis

Probability Distributions

Statistical Modeling

SQL

Bayesian Statistics

Formation

Masters or PhD in Computer Science

Masters or PhD in related fields (Economics, Statistics, Math, Data Science, Engineering)

Outils

Python

Deep Learning Frameworks (e.g. PyTorch, TensorFlow)

Description du poste

Liftoff is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps.

Liftoff’s solutions, including Accelerate, Direct, Influence, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.

Responsibilities:

• Design, develop, and implement machine learning models to predict competitive bidding landscape, conversion rate, ad relevance to users etc.
• Analyze data to identify useful relations, patterns and features that are predictive of user behaviors, preferences, intents, interests
• Continuously identify and explore new and unconventional data sources
• Generate hypothesis and design effective online experiments to continuously iterate and improve on algorithm performance
• Take on unique modeling challenges of data sparsity, delayed feedback, as well as modeling in the context of privacy restrictions
• Work with engineering and operations teams to build machine learning models, monitor and evaluate their health and effectiveness in production
• Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences
  
  

Requirements:

• Three or more years of experience; Masters or PhD in Computer Science, Economics, Statistics, Math, Data Science, Engineering, or related field
• Be an expert in at least one scientific programming language (Python is strongly preferred)
• Be an expert in probability distributions, statistical modeling and machine learning
• Be proficient with structured query language (SQL)
• Be proficient with Bayesian statistics and modeling
  
  

Bonus:

• Be familiar with at least one deep learning framework (e.g. PyTorch, TensorFlow)
• Have experience deploying effective ML models to production
• Have experience with auction dynamics and bidding strategies
• Have experience maintaining high quality production code
• Have experience connecting to data sources and prototyping data pipelines
• Adtech experience is a plus
  
  

Travel Expectations:

We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

Please see the independent bias audit report covering our use of Covey here.

Liftoff is committed to providing and maintaining a work environment where all employees and candidates are treated with dignity and respect and that is free of bias, prejudice, and harassment. Liftoff is further committed to providing an equal employment opportunity for all employees and candidates for employment free from discrimination and harassment on the basis of sex, gender (including sexual harassment, gender harassment, and harassment due to pregnancy, childbirth, breastfeeding, and related conditions), sexual orientation, gender identity, gender expression, gender nonconformity, race, creed, religion, color, national origin, ancestry (including association, affiliation, or participation with persons or activities related to national origin, English-proficiency or accent, or immigration status), physical or mental disability, medical condition(s), genetic information of an individual or family member of the individual, marital or domestic partner status, age, veteran or military status, family care status, requesting or taking pregnancy, parental or disability leave, requesting an accommodation, or any other characteristic protected by federal, state, or local law, regulation, or ordinance. All such discrimination and harassment is unlawful and will not be tolerated. Liftoff maintains a continued commitment to equal employment opportunity and expects the full cooperation of all personnel.

Liftoff's Compensation Strategy

Liftoff's compensation strategy includes competitive market rate along with equity and benefits and perks that will give our employees what they need to do their best work. In order to ensure teams are compensated fairly for the work performed, we map out specific levels and take into consideration the cost of labor within each location. Liftoff provides employees a total compensation package of competitive market salaries, equity, health and wellness stipends, medical benefits associated with your country of residence. The base compensation will vary based on location, experience as well as level.

Agency and Third Party Recruiter Notice:

Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.