Job Details

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Albertsons
  • Position Number: 2564606
  • Location: Pleasanton, CA
  • Position Type: Computer and Information Technology


Staff Engineer - ML Platform


Location: 5918 STONERIDGE MALL RD, PLEASANTON, California 94588

Description
Albertsons Companies is one of the largest food and drug retailers with 2,300+ stores. The Albertsons Companies family of brands includes some of the most prominent brands in food retailing, with a growing base of loyal shoppers. Thanks to the professionalism, diversity, spirit, and friendliness of our people, we have locations across the U.S.

The Enterprise Data & Analytics team at Albertsons Companies is looking for an experienced Machine Learning Engineer to work for one of the most transformational food and drug retailers in the United States. Albertsons operates over 2,300 stores under 19 well-known banners including Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen and Carrs.

We have an opening for a Staff Engineer, Machine Learning Platform within the Enterprise Data & Analytics team. This position is located in Pleasanton, California.

Position Purpose

The Enterprise Data & Analytics team at Albertsons inspires to build best in class customer experiences and revolutionize the food and drug retail industry. We are looking for people who are excited in re-imagining the grocery experience by harnessing the power of AI and digital technologies. The Machine Learning Platform team integrates state of the art Machine Learning models with decoupled and near real time data to generate insights and improve merchandising, supply chain, store operations etc.

As a machine learning engineer, you will be responsible for building and operating the foundational pieces and frameworks of our ML platform. You will be responsible for designing, developing, testing, and managing large scale, high-performance Machine Learning systems (batch and/or streaming and/or API services) in a Multi Cloud environment to provide a robust ML pipelines. The candidate will have a background in computer science or a related technical field with experiences working with machine learning tools, high volume, message-based data integration technologies. A successful candidate will be both technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions. You are a self-starter, smart yet humble, with a bias for action.

Key Responsibilities include, but are not limited to:
  • Design and develop secure, scalable, high-performance, and reliable and cost-effective Machine Learning platform software and services in a multi-Cloud environment
  • Develop tools and dashboards for monitoring and scaling ML life cycle and provide observability into the systems execution flow
  • Develop tools and dashboards to facilitate reporting for business analytics and data exploration
  • Partner with architecture, Infosec, and development teams across the entire enterprise to establish a strong relationship and trust for prioritizing and delivering projects on time and with a high degree of quality.
  • Establish patterns for re-use, standards, and best practices for Data Science & Data Engineering & Analytics such that Machine Learning Platform quality is maximized.
  • Partner with the Audit, Compliance and Governance leaders to ensure data is secured and conforms to the guidelines laid out by the organization and the industry.
  • Partner with cross-functional teams to deliver large scale strategic projects as well as ongoing operational activities related to Machine Learning Platform. Interface with cross functional leaders and represent point of views to drive measurable success.


Qualifications:
  • Bachelor's or Master's in computer engineering, computer science or related area.
  • 8+ years proven experience in developing Micro services using at least one programming language like Python, Java or Scala.
  • Experience building NodeJS Dashboards applications and HTML, CSS and ReactJS.
  • Hands-on experience working with: Relational/SQL, distributed columnar data stores/NoSQL databases (MongoDB or Cassandra), graph databases, timeseries databases, Spark streaming, Kafka, Avro, and more
  • Deploying ML systems, data pipelines, preferably in the Cloud; Databricks, Azure and Snowflake experience is a plus
  • Proven experience with Spark SQL, Spark Streaming and using Core Spark API to explore Spark features to build data pipelines
  • Extensive experience in data transformations for Retail business use cases will be a plus
  • Knowledge for handling exceptions and automated re-processing and reconciling
  • Passion for Data Quality with an ability to integrate these capabilities into the deliverables
  • Knowledge of Jenkins for continuous integration and End-to-End automation for application build and deployments
  • Proven capabilities for strong written and oral communication skill with the ability to synthesize, simplify and explain complex problems to different audiences.


About us

Albertsons Companies is at the forefront of the revolution in retail. With a fixation on innovation and building culture, our team is rallying our company around a unique vision: forging a retail winner that is admired for national strength, deep roots in the communities we serve, and a team that has passion for food and delivering great service.

Albertsons Culture Principles
  • Compassion: We always treat each other with kindness and respect
  • Team: We always support and recognize each other
  • Inclusive: We always value everyone's perspective
  • Learning: We always strive to grow and develop ourselves and others
  • Competitive: We always act with integrity to win over the customer
  • Ownership: We always take actions to drive our success


Physical Environment:
  • Work may be performed in a temperature-controlled environment.
  • Must sit, stand, or walk for extended periods of time.
  • May spend long periods of time at desk or computer terminal.
  • Will use keyboards, telephone, and other office equipment during the course of normal workday.
  • Stooping, bending, twisting, and reaching may be required in completion of job duties.
  • Work day is fast paced; some evening and weekend work may be required.


How to Apply: Interested candidates are encouraged to submit a resume by visiting https://www.albertsonscompanies.com/careers/en/home.html

Diversity is fundamental at Albertsons Companies. We foster an inclusive working environment where the different strengths and perspectives of each employee is both recognized and valued. We believe that building successful relationships with our customers and our communities is only possible through the diversity of our people. A diverse workforce leads to better teamwork and creative thinking, as well as mutual understanding and respect.

The Albertsons Companies policy is to provide employment, training, compensation, promotion, and other conditions of employment without regard to race, color, religion, sexual orientation, gender identity, national origin, sex, age, disability, veteran status, medical condition, marital status, or any other legally protected status.

We support a drug-free workplace -- some positions require applicants offered a position to pass a pre-employment drug test before they are hired.

AN EQUAL OPPORTUNITY EMPLOYER


To apply, visit https://recruiting.adp.com/srccar/public/RTI.home?r=5000781903006&c=1208301&d=External&rb=???

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