Fingerprint empowers enterprises to detect and stop online fraud with device intelligence. The Engineering Manager will lead the Identification Accuracy team responsible for the accuracy, reliability, and continuous improvement of the ML models powering Fingerprint’s Identification API. You will partner with senior engineering leadership to set the roadmap and cultivate a high-performing, multidisciplinary team of ML engineers, data scientists, analysts and analytics engineers.
What you'll do
Lead and grow the Identification Accuracy team, a multidisciplinary group of ML engineers, data scientists, analysts, and analytics engineers, fostering psychological safety and technical excellence.
Own the team's roadmap in close partnership with senior engineering leadership and cross-functional stakeholders, driving innovative solutions and raising the bar on model quality.
Drive model accuracy outcomes by enabling your team to design, train, evaluate, and ship ML models that improve identification accuracy at scale across billions of devices.
Build bridges across the organization by partnering with the Identification Engineering team, Product, and customer-facing teams to translate customer needs into technical priorities.
Communicate effectively across technical and non-technical audiences, translating model performance and roadmap tradeoffs into language that resonates with business stakeholders and executive leadership.
What they're looking for
Minimum of 2 years of leadership experience in a ML or data science team in an agile, fast-paced environment.
At least 5 years of professional experience in software engineering, machine learning, or a related technical discipline.
Demonstrated ability to lead technical teams that ship production ML systems from data pipelines through model deployment.
Proven track record of building and developing high-performing multidisciplinary teams including engineers, data scientists, and analysts.
Strong communication skills with the ability to translate complex model behavior, data quality issues, and technical tradeoffs to both technical teammates and non-technical stakeholders.
Familiarity with ML infrastructure and MLOps tooling such as MLflow, feature stores, model registries, and CI/CD pipelines for ML.
For applicants in Nigeria
The listing states Fingerprint is a 100 percent remote company and that the role is open across the United States and can be based anywhere, with a note that a small number of countries cannot have Fingerprint teammates.
The listing does not sponsor visas and teammates must be authorized to work from their home location.
The listing does not state a timezone requirement; confirm before interviewing.
Salary range is $159k to $215k and is based on geographic location.
Summarized by RemoteWork from the original listing. Always confirm details on the employer’s page.
Perks & benefits
What this listing says it offers, and who each perk covers. Perks limited to US or EU employees often do not reach contractors or people hired through an employer of record, which is how many hires from Nigeria are paid.
Pays in USD
$159k - $215k salary range
The salary range reflects geographic breadth across the United States.
US employees onlyFrom this job listing
Ready to apply?
Your application goes straight to Fingerprint, on their own hiring page.
Fingerprint provides 99.5% accurate device fingerprinting as a service. Fingerprint enables engineers to prevent fraud, bots, and account takeovers while also improving user experiences, and better understand their traffic.
The company works on source-available and proprietary products.