BigCommerce

Machine Learning Engineer II

San Francisco, CA US
USD 126k - 175k
Python R Azure Machine Learning SQL
Search for More Jobs Talk to a recruiter now 💪
This job is closed! Check out or
Description

Job description

BigCommerce’s mission is to help merchants sell more at every stage of growth, from small startups, to mid-market businesses to large enterprises. We focus on being the best ecommerce platform so our customers can focus on what matters most: growing their businesses.

We are equally passionate about growing our employee’s careers and providing them an incredible experience as we rapidly expand across the globe. We are proud to have been  recognized numerous times  for our product and workplace culture. We empower our people and customers to build, innovate and grow, so together we can redefine the ecommerce industry.

Position:                   Machine Learning Engineer II

Location: San Francisco, CA

Responsibilities: Review and analyze large data sets and make recommendations regarding the best use of available data for building product software systems, including modifying existing systems to make them more efficient. Research, prototype and iterate machine learning solutions using scientific analysis and mathematical models, to develop and implement software solutions that can add significant value to the company's eCommerce product features. Experiment with different machine learning algorithms and techniques to determine the most efficient strategy for the retrieval and manipulation of data for analysis. Assist with building and deploying machine learning models in a production environment, including modifying existing software to correct errors and implementing upgrades to improve performance. Confer with various stakeholders to help define event schemas needed for machine learning. Use real-time events for model building and serving recommendations. Collaborate with Product, Engineering, Quality Engineering, and Design departments to build machine learning solutions that satisfy limitations or capabilities for data processing projects.

Educ./experience: Master’s degree or foreign equivalent in Computer Science and Engineering, Software Engineering or related field, plus one (1) year of post-baccalaureate experience as BI/IT Analyst, Application/SQL Developer or related role. Experience must include SQL, Python, R, PowerBI, Birst, and Microsoft Azure.

To apply, please email your resume to: applyonline@bigcommerce.com .

Salary range: $126,277.00 to $175,000.00 per year

#LI-DNI

Not all candidates will be eligible for the upper end of the salary range (or have the minimum apply to them), but rather, the exact salary will be dependent on the successful candidate’s location, relevant knowledge, skills, and qualifications.
Targeted salary range
$126,277—$175,000 USD
Diversity, Equity & Inclusion at BigCommerce
 
Our employees make the difference. At BigCommerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at BigCommerce, please let us know during any of your interactions with our recruiting team.

Learn more about the BigCommerce team, culture and benefits at  https://careers.bigcommerce.com .

Apply

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 307 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

Cancel anytime / Money-back guarantee

Wall of love from fellow engineers