Machine Learning Engineer II

2 Months ago • 3-4 Years

About the job

Job Description

Develop and deploy machine learning models with a focus on rapid experimentation. Collaborate with designers, UX researchers, product managers, and software engineers to integrate ML solutions. Monitor model performance and conduct preliminary research to enhance product capabilities.
Must have:
  • Python proficiency
  • ML frameworks
  • Statistics understanding
  • ML project experience
Good to have:
  • GenAI experience
  • Recommender Systems
  • SQL/NoSQL databases
  • Communication skills
Perks:
  • Free meals
  • Gym/yoga classes
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Our Story

Building a new company in the recession of 2007 was no ordinary task. Yet with passion and foresight, we charted our course, helping to transform the way consumers engage with their phones.

Over the last 17 years, InMobi has built a global Advertising Platform that powers our customers’ growth by helping them engage their audiences and drive real connections.

InMobi has also built a second unicorn, Glance, which is advancing digital consumption and creating a new wave of disruption. Present on 400M devices across India, SEA, Japan and the US – Glance is one of the largest content platforms globally with~200M daily active users.

.What’s the InMobi family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What do we promise?

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.

About 1Weather:

In a crowded digital weather market where most apps focus solely on providing weather forecasts, 1Weather sets itself apart by creating a personalized experience for its users. It offers more than just simple forecasts; the app provides real-time recommendations and prompts that help users stay informed and prepared, allowing them to take control of their daily routines and own the day.

With a wide range of features such as 7-day forecasts, live radar, severe weather alerts, AQI, Twitter buzz, and global trends, 1Weather is the go-to app for millions who seek reliable and accurate weather information. This is evidenced by the app's impressive 4.4 user rating and over 100 million downloads on the Play Store.

What You Will Be Doing?

  • Develop and deploy machine learning models with a focus on quick, reliable experimentation to validate features and hypotheses. Our team values speed and quality in experimentation.

  • Assist in building and maintaining machine learning pipelines, aiding in tasks such as data preparation, model training, and evaluation.

  • Collaborate closely with Designers, UX Researchers, Product Managers, and Software Engineers to contribute to the integration of machine learning solutions .

  • Monitor the health and performance of machine learning models, using statistical methods to ensure their effectiveness.

  • Conduct preliminary research and development in machine learning techniques to enhance product capabilities.

Basic Qualifications

  • Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related technical field with 4+ years of relevant industry experience OR

  • Master's degree in a related technical field with 3+ year of relevant industry experience.

  • Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

  • Basic understanding of statistics as applied to machine learning, including probability theory and hypothesis testing.

  • Demonstrable ability to contribute to machine learning projects, either in a work setting or via academic coursework.

Preferred Qualifications

  • Strong focus on quick, trustworthy experimentation to validate machine learning models and hypotheses.

  • Significant Plus: Hands-on experience or strong theoretical understanding of GenAI and Recommender Systems is highly valued by our team.

  • Basic understanding of data management and storage solutions like SQL and NoSQL databases is a plus.

  • Excellent communication skills, with the ability to convey technical concepts effectively to a non-technical audience.

The InMobi Culture

At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom —guide us in every decision we make.

We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities.

Visit https://www.inmobi.com/company/careers to better understand our benefits, values and more!

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About The Company

InMobi builds transformative technologies to positively impact people, businesses, and societies around the world. We power advertisers’ and publishers’ growth with high impact experiences and innovative solutions that help them activate their audiences and drive real connections with today’s consumers.

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