Senior Machine Learning Engineer

Revenue Attribution

Confirmed live in the last 24 hours

Locations

Seattle, WA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

AWS

Apache Kafka

Airflow

Linux/Unix

Snowflake

SQL

Python

Requirements

Bachelor's in Computer Science or related technical field involving coding (eg. physics or mathematics), or equivalent technical experience
2+ years of software engineering experience in Python
2+ years of experience working and reasoning with large SQL datasets
Experience with Linux-like OS and a major cloud provider's ecosystem (eg. AWS)
An inquisitive nature in diving into data inconsistencies to pinpoint issues

Desired Qualifications

5+ years of data engineering using SQL and an object oriented programming language (Python is preferred)
Experience with our standard data stack: Snowflake, dbt, airflow, Kafka
Experience with AWS
Master's or PhD in Computer Science or related technical field (eg. physics or mathematics)
Experience building regression(-like) models with systematic validation
Experience designing and building low latency, highly available microservices across multiple cloud regions

System1 is looking for a Senior Machine Learning Engineer to join the Revenue Attribution team. The Revenue Attribution team works with all teams across the company to collect, maintain, and produce accurate revenue data that drives real-time business decisions by buyers and data science. This is a high impact role with opportunities to work on Research and Development.

Our bread and butter is Python and SQL. We utilize a range of technologies including AWS (EC2, S3, RDS, Secrets Manager, etc.), Redis, Apache Airflow, Docker, as well as PostgreSQL, Snowflake, and dbt for our data warehousing.

What You Can Expect on the Team

You will work across teams to produce data pipelines and accurate datasets that drive >$1M spend/day.
You will evaluate, recommend, and perform proof-of-concepts for new systems and algorithms.
You will design and integrate successful prototypes into production, as well as productionize already existing systems.
You will participate in peer code reviews and produce high quality documentation.

What You Will Bring

Bachelor’s in Computer Science or related technical field involving coding (eg. physics or mathematics), or equivalent technical experience
2+ years of software engineering experience in Python
2+ years of experience working and reasoning with large SQL datasets
Experience with Linux-like OS and a major cloud provider’s ecosystem (eg. AWS)
An inquisitive nature in diving into data inconsistencies to pinpoint issues

Bonus Experience

5+ years of data engineering using SQL and an object oriented programming language (Python is preferred)
Experience with our standard data stack: Snowflake, dbt, airflow, Kafka
Experience with AWS
Master’s or PhD in Computer Science or related technical field (eg. physics or mathematics)
Experience building regression(-like) models with systematic validation
Experience designing and building low latency, highly available microservices across multiple cloud regions

What We Have to Offer:

Competitive salary + bonus + equity
Generous PTO + 11 company holidays
Open sick time
100% covered Medical, Dental, Vision for employees
401k with match
Health & Dependent Care Flex Spending Account
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote
#LI-AW1

The U.S. base salary range for this full-time position is $164,500- $268,200 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely. System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oregon, Pennsylvania, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.

201-500 employees

Website

Ad & marketing platform

Company Overview

System1's mission is to provide the most accurate and useful predictions in marketing. The company operates a Responsive Acquisition Marketing Platform to connect high intent customers with advertisers at scale.

Benefits

Great compensation
401(k) company match
Excellence benefits
Charitable gift matching
Education subsidy
Referral bonus
Weekly happy hour
Catered lunches & free snacks
Weekly workouts

Company Core Values

System1 supports you - Whether this means providing a challenging job as part of your long-term career with us, maintaining work/life balance, or continuing your education, we want to support you and make you better.
Everyone is on the same team - Our co-workers are our teammates. This means respecting your teammates as much as it does enjoying working with them. We may disagree, but we do it openly and respectfully. When we win, we win together.
Be yourself - We believe that different backgrounds, experiences and points of view make us stronger and more innovative. We champion an environment where everyone is genuinely seen, heard and respected.
Own it - We don’t provide boxes for you to think in, and we encourage individual responsibility. We never blame someone else, and there is always a way to get it done. We want creative innovators who are driven to get results.
Make an impact - Being of service to others is in our DNA. We contribute our expertise, time and money to causes we care about in the communities in which we live and work. Giving back makes us and the world better.
1% better every day - We strive to always improve every single day - our technology, our business, our community, ourselves.