Machine Learning Engineer
- Oakland, CA, USA
Home to the iconic Ask.com website and headquartered in Oakland’s thriving downtown, Ask Media Group is a collection of websites that help curious people find the information they need. Our growing portfolio of websites helps our users discover everything from bathrobes to tax forms, and we thrive on the challenge of developing a wide variety of sites that address everyday questions, no matter how large or small. Our team knows how to not only create but profitably grow digital properties to meaningful scale, touching the lives of millions of people each day. Ask Media Group is owned and operated by IAC (NASDAQ: IAC) and is a part of IAC Publishing, IAC’s collection of premium content brands.
Our key capabilities include:
Multi-channel audience acquisition and monetization expertise.
A rapid release application platform allowing us to develop and test a variety of new products.
Deep data management, analytics, and machine learning expertise to drive engaging media experiences.
24x7 operations services with experience supporting multiple, international domains at scale.
We are looking for a Machine Learning Engineer with 1-3 years work experience--a software engineer (production python) with a strong interest in and exposure to data science. You’ll be part of the Data Science Products team--a small team whose mandate is to solve complex data science problems with engineering solutions optimized for consumer-facing applications. The data science product team plays a key role in Ask Media Group’s business, owning projects from ideation to production, and collaborating with our engineering teams to build scalable solutions. We have mountains of language and user-interaction data that we use to drive breakthroughs both in performance marketing and the creation of engaging search and content experiences. As a member of the team, you will collaborate across the organization within a culture that values pragmatic solutions.
You’re a great fit for this job if you have the following qualities:
You are pragmatic—you choose simplicity over complexity
You have broad knowledge that you apply in new contexts, and you eagerly learn new technologies to help drive solutions
You are a collaborator and put team first—you take pride in the team’s success
You are a strong communicator
You are helpful in a bi-directional way—you do not shy away from offering and asking for help at the right time
You are flexible and thrive in a changing environment
You are tenacious, and continue working on a problem even in the face of setbacks
We are also looking for these skills and experience:
You have foundational understanding of topics in data science and machine learning
You are able to quickly prototype ideas and solve complex problems by adapting creative approaches
You have solid engineering and coding skills to write high performance, production quality end to end data science systems
You have extensive experience in Python and using Python’s data science stack along with Python’s web-app stack (flask/gunicorn). Python3 experience is a plus especially migration from Python2.
You have 1-3 years of industry experience delivering applications using best engineering and data science practices
You are a strong collaborator and communicator who is comfortable working with data scientists and software engineers within the team and outside the team as well as remote workers
You have experience in or have a desire to learn Apache-Solr
You have experience in or have desire to learn Docker or a similar container framework and container orchestration tools such as Kubernetes
You have experience in or have a desire to learn Hadoop/Spark related Big Data technologies
We have some of the greatest benefits such as: unlimited vacation for salaried employees, medical/dental/vision options, pet insurance, 401(k) matching, commuter subsidy, tuition reimbursement, charity gift matching, huge discounts to wireless/gym/travel/much more. Our office has free snacks, catered lunch, in-house massage chair, and more. More importantly – we know how hard you work so we celebrate that hard work often.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.