Machine Learning Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Job Category

Products and Technology

Job Details

Salesforce is looking for an exceptional Machine Learning Engineer to help us take on one of the world’s most extensive data sets and transform it into amazing products that feel like magic. You will work on innovative AI applications and products. Brainstorming data product ideas with data scientists and engineers to build data products used by hundreds of millions people every day.

LOCATION: We are open to Fully Remote, Flex (1-3 days/week in the office), or Office-Based (4-5 days/week in office) work arrangements.
In your role as a Machine Learning Engineer, you will partner with analysts, engineers, designers, executives, product managers, marketers, customer success, and sales team members across all Cloud businesses to create ML-driven decision making data products that enable our partners to affect the bottom line and solve critical business problems.
Equality is a core value at Salesforce. We strive to build a workplace that reflects society and where everyone feels seen, valued, heard and empowered to create the best work of their careers. Learn more about our commitment to Equality
Responsibilities

· Work closely with a dedicated team of machine learning professionals on a wide range of problems including forecasting meaningful business metrics such as sales and capacity, churn and propensity modelling to retain and grow our customer base, clustering and classification using both structured and unstructured data, and more!

· Help create high-visibility data products and decision-making tools for Salesforce’s leaders.

· Lead the charge on taking our core products to the next level in terms of engineering maturity and architecture.

· Refine and develop new data science products, workflows, tools, and automation.

· Build tools to monitor data pipeline performance, data quality and models in production.

· Establish best practices with coding standards, workflows, tools, and product automation.

· Review and maintain existing tool-set and codebase (pipelines, models, algorithms); continue to improve existing tools and create new ones.

· Scale the operations of the data science team by building automation and libraries.

· Peer review code and participate in architecture design and reviews.

· Be part of a team and company that truly cares about your wellbeing and knows how to have fun - both during and after work!

Preferred Qualifications:

• 4+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions.
• Experience working as part of a data team working with mature data science products.
• Proven track record in building software and data products using modern development lifecycle methodologies: CI/CD, QA, and Agile Methodologies.
• Applied experience designing, building and optimizing data pipelines, architectures and data sets.
• Experience deploying, monitoring and maintaining data science products in cloud environments such as AWS or Microsoft Azure.
• Good understanding of Machine Learning methods and Statistics, including ML project lifecycle and associated challenges at each stage of development.
• Proficient at writing good quality, well-documented and tested, scalable code - Python preferred. Experience with tools like mlFlow, Airflow, Docker and Cloud Platforms such as AWS/GCP is ideal.
• Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and Spark.
• Strong communication skills and ability to interface well with other engineers, data scientists and product managers.
• Passion, curiosity, solutions focus and independence.

In school, or graduated within the last 24 months? Please visit FutureForce for opportunities

For Colorado-based roles: Minimum annual salary of $82,400. You may also be offered a bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/.

You can find other info there as well- including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Visit for the full breakdown!

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