Machine Learning Engineer (Contract)

Activision Boulder , CO 80301

Posted 1 week ago

Job Title:

Machine Learning Engineer (Contract)

Requisition ID:


Job Description:

Job Title: Machine Learning Engineer

Reporting To: Director of Machine Learning

Department: Global Analytics

Location: Boulder, CO

Role Type: Contract

Your Platform

Founded in 1979, Activision has continuously disrupted the world of entertainment as a leader in the videogame industry. With a history of delivering iconic game changers -- like Pitfall, Tony Hawk, Guitar Hero, Crash Bandicoot, Skylanders and Call of Duty -- our obsession is delighting our players around the globe. Focused and committed to innovation, we consistently deliver the most beloved, engaging and successful entertainment.

And while we have world-class franchises, infrastructure and resources, our success comes from a passionate, talented and diverse team of people producing greatness together. So, if you're interested in our biggest priority, it's our people.

We're currently driving the next era for our company and community by creating amazing experiences for fans and continuing to make Activision an inclusive place where everyone can thrive.

Join us, make history. To learn more, check us out at, or @Activision on Instagram, Twitter, Facebook and LinkedIn.

Your Mission

The ML Engineer will develop and operationalize a Recommendation system for our in-game store. You will be responsible for building custom data pipelines that interface with several studios and partner teams, and you will work with our Lead ML Scientist in daily operations and engineering.

Our team has a wide range of responsibilities across Game Operations, Marketing, CRM, and Business Planning.

Some examples of other projects you may encounter: Anti-Cheat; Anti-Toxicity; Churn Risk; Customer Lifetime Value; Marketing models (Attribution and Media Mix Models); Matchmaking and skill.

The successful candidate will demonstrate the following skills:

  • Prototype-to-production engineering skills in Python, including best practices such as source control, proper documentation, library packaging, versioning, testing, containerization, CI/CD, and task scheduling

  • Data engineering skills to facilitate data movement, ETL, and analysis

  • Advanced SQL skills (analytics knowledge preferred)

  • Advanced Spark skills

  • Expertise in machine learning workflows. Model validation, testing, scheduling, monitoring.

  • Engineering experience in at least one cloud platform such as AWS, GCP, or Azure

  • Exposure to stream processing infrastructure such as Kafka and Spark Streaming a plus

Player Profile

Minimum Requirements:

  • MS in Computer Science/Engineering, Machine Learning, Data Science, Physics, Mathematics, or other engineering/scientific area; or Bachelors + 2 years industry experience. Senior to Lead level possible with additional experience.

  • Must be a tenacious and self-catalyzing problem solver. You don't settle for good enough. Must be able to synthesize disparate data, detect and work around broken data, and investigate every possibility until you are confident you have and understand a thorough solution

  • Process-oriented driving toward visibility, accountability, and communication

  • Team-oriented, ability to build long-lasting and collaborative relationships effectively. You work selflessly and enthusiastically, serving as a positive catalyst for collaborative solutioning

  • You contribute to the expertise in every data and analytic conversation as well as you listen with openness to other's expertise

  • A passion for analytics and diving into as well as experiencing the products on which you work (video game enthusiasm with a solid understanding of the connection of gameplay to spending behavior is a plus)

  • Ability to adapt quickly, high tolerance for ambiguity, and ability to coordinate on a team

Please note: This is a contingent worker position and will be staffed through Volt, a staffing and workforce management company.

Our World

Activision Blizzard, Inc. (NASDAQ: ATVI), is one of the world's largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty, World of Warcraft, Overwatch, Diablo, Candy Crush and Bubble Witch. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet!

Our ability to build immersive and innovate worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect and engage the world through epic entertainment. We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered!

The videogame industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners.

Activision is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law and will not be discriminated against on the basis of disability.

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Staff Machine Learning Researcher / Research Engineer Cortex Recommender Systems Research


Posted 1 week ago

VIEW JOBS 10/14/2020 12:00:00 AM 2021-01-12T00:00 Staff Machine Learning Researcher / Research Engineer - Cortex Recommender Systems Research Locations San Francisco, Seattle, Boulder Company description At Twitter, we would like to connect people with the conversations, topics and content that are most relevant to them, in real-time. We are a community of Machine Learning Researchers and Engineers, working to drive Twitter's research in recommender systems. We tackle local and global technical challenges amongst product teams through a range of systems - e.g. timelines ranking, push notifications, email notifications and ads predictions. We operate at scale whilst ensuring fair and ethical use of our models and data. Job description Apply your research expertise to improve our ML-driven recommender system products, help us develop new solutions and unlock new directions, as well as analyse and optimise the systems we already have. You'll work closely with product teams and mentor them on best practices for modern ML, and keep the wider team informed on the state-of-the-art. In addition, you will be in a strategic position to influence future roadmaps for Twitter's recommender system products. Who you are: You have a depth of knowledge in a ML-driven field - e.g. Probabilistic modeling, Reinforcement learning, Deep learning etc and you are interested in applying your knowledge and skill set to one or more challenges of our product areas - e.g. media / content understanding, new item/user modeling, temporal modeling, model performance optimisation. You are passionate about the way we develop state-of-the-art technologies and are excited by the application of theory to real-world problems. You keep up to date with the latest developments in the field and look for ways to apply them to your current work/role. Qualifications * Master, Post-graduate or PhD in computer science, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience * Good theoretical grounding in core machine learning concepts and techniques * Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints. * Experience with a number of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, bandits, reinforcement learning etc * Familiarity with one or more DL software frameworks such as Tensorflow, PyTorch Nice to haves: * Experience with large-scale systems and data, e.g. Hadoop, distributed systems * Publications in top conferences such as ICLR, NIPS, ICML, RECSYS, CVPR, ICCV, ECCV, etc * Experience with one or more of the following: * Recommender Systems * Model optimisation * Deep Learning * Prediction / Inference (e.g. Bayesian) * Online Learning * Reinforcement Learning Additional information We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status. Engineering hiring process Step 1 Once your application is received, a recruiter will reach out pending your qualifications are a match for the role. Step 2 If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role. Step 3 If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people via a video conference call. Twitter Boulder CO

Machine Learning Engineer (Contract)