Machine Learning Engineer

Machine Learning Engineer

Full-Time 28800 - 48000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement machine learning models to enhance mobile app marketing strategies.
  • Company: Join Liftoff, a leading AI-powered performance marketing platform for mobile apps.
  • Benefits: Competitive salary, equity, wellness perks, and opportunities for professional growth.
  • Why this job: Make a real impact in the mobile app ecosystem with innovative technology.
  • Qualifications: 3+ years experience in machine learning; expertise in Python and statistical modelling required.
  • Other info: Collaborative environment with quarterly team gatherings and a commitment to inclusivity.

The predicted salary is between 28800 - 48000 ÂŁ per year.

Join to apply for the Machine Learning Engineer role at Liftoff Mobile. Liftoff is a leading AI‑powered performance marketing platform for the mobile app economy. Our end‑to‑end technology stack helps app marketers acquire and retain high‑value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions 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 behaviours, preferences, intents, interests.
  • Continuously identify and explore new and unconventional data sources.
  • Generate hypotheses and design effective online experiments to continuously iterate and improve 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.
  • Expert in at least one scientific programming language (Python is strongly preferred).
  • Expert in probability distributions, statistical modeling and machine learning.
  • Proficient with structured query language (SQL).
  • Proficient with Bayesian statistics and modeling.

Bonus

  • Familiar with at least one deep learning framework (e.g. PyTorch, TensorFlow).
  • Experience deploying effective ML models to production.
  • Experience with auction dynamics and bidding strategies.
  • Experience maintaining high quality production code.
  • 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 employees to attend these gatherings at least once per quarter.

Liftoff offers a fast‑paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next. Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well‑being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.

Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law.

Machine Learning Engineer employer: Liftoff Mobile

Liftoff Mobile is an exceptional employer, offering a dynamic and innovative work environment that empowers Machine Learning Engineers to make a significant impact in the mobile app economy. With competitive salaries, equity options, and comprehensive benefits tailored to support employee well-being, Liftoff fosters a culture of collaboration and continuous growth, ensuring that team members thrive both personally and professionally. Located in Redwood City, CA, employees enjoy the unique advantage of being part of a diverse, global team while engaging in exciting projects that shape the future of technology.
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Contact Detail:

Liftoff Mobile Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Liftoff Mobile on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Prepare a portfolio of your machine learning projects. Whether it's GitHub repos or case studies, having tangible examples of your work can really impress during interviews.

✨Tip Number 3

Practice makes perfect! Brush up on your technical interview skills by doing mock interviews with friends or using online platforms. Get comfortable explaining complex concepts in simple terms—it's key for this role!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Liftoff team. Don’t miss out on this opportunity!

We think you need these skills to ace Machine Learning Engineer

Machine Learning
Statistical Modelling
Python
SQL
Bayesian Statistics
Data Analysis
Deep Learning Frameworks (e.g. PyTorch, TensorFlow)
Model Deployment
Data Pipeline Prototyping
Communication Skills
Problem-Solving Skills
Analytical Skills
Experience with Auction Dynamics
Experience with Bidding Strategies
Adaptability

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Machine Learning Engineer role. Highlight your experience with machine learning models, programming languages like Python, and any relevant projects that showcase your skills.

Show Off Your Skills: Don’t just list your qualifications; demonstrate them! Include specific examples of how you've used statistical modelling or machine learning in past roles. This will help us see your practical experience in action.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences, making it easy for both technical and non-technical readers to understand your expertise.

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone!

How to prepare for a job interview at Liftoff Mobile

✨Know Your Machine Learning Models

Make sure you can discuss various machine learning models and their applications in detail. Be prepared to explain how you would design, develop, and implement models for predicting user behaviours and ad relevance, as mentioned in the job description.

✨Showcase Your Data Analysis Skills

Bring examples of your past work where you've analysed data to identify patterns or features that predict user behaviour. Discuss any unconventional data sources you've explored and how they contributed to your findings.

✨Communicate Clearly

Since you'll need to explain complex concepts to both technical and non-technical audiences, practice articulating your thoughts clearly. Use simple language to describe statistical and machine learning concepts, ensuring everyone understands your points.

✨Prepare for Technical Questions

Brush up on your knowledge of programming languages, especially Python, SQL, and Bayesian statistics. Expect technical questions that assess your expertise in these areas, so be ready to solve problems on the spot or discuss your previous experiences.

Machine Learning Engineer
Liftoff Mobile
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