Auror
Staff Data Scientist/Machine Learning Engineer
Auror Denver Office · Staff+
Sponsorship not specified$158k-$198kDetected 22 days ago
PythonDistributed SystemsCode ReviewGitSQLPostgreSQLElasticsearchGCPAzureCloud PlatformsDockerKubernetesMachine LearningDeep LearningTensorFlowPyTorchscikit-learndbtData EngineeringData ScienceNLPComputer VisionLLMsMLOps
About the role
- We're on a mission to give retailers unparalleled visibility into what's happening across their business, turning real-time data into actionable intelligence that helps them stay one step ahead.
- Today, more than 13,500 retail stores and 50,000 retail professionals around the world rely on our platform.
- We're looking for an innovative Machine Learning Engineer who is excited by the challenge of transforming large-scale, multi-modal data into smart, impactful features used by retailers globally.
Responsibilities
- The scale and complexity of our data presents an incredible opportunity to uncover patterns, predict outcomes, and build intelligent products that make a real difference in the fight against retail crime.
- My teams work across everything from analytics and decision support through to applied AI, network intelligence, and responsible AI practices.
- Employee share scheme: You'll own part of a company making a real difference!
- Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.
Requirements
- Demonstrated experience designing, deploying, and monitoring at least one ML model in a production environment.
- Experience with ETL/ELT processes and data engineering tooling, including dbt and Snowflake.
- Proficiency with Git/GitHub and collaborative development practices including code review and CI/CD.
- Experience with the full ML lifecycle: dataset construction, feature engineering, model training, evaluation, deployment, monitoring, and retraining utilizing Feature Stores and Model Registries.
- In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems.
- Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.
- If you have questions about any of the above, or if you have any accessibility requirements, we'll be able to help you from there.
Nice to have
- Experience testing production ML models for fairness, bias, and accuracy over time, including concept-drift detection.
- Familiarity with graph or non-relational databases relevant to network analysis (Neo4j, ElasticSearch, CosmosDB, PostgreSQL).
- Experience working with sensitive data across multiple privacy jurisdictions.
- An undergraduate degree or higher in statistics, computer science, software engineering, data science, or equivalent practical experience.
- Comfort working in cloud environments (Azure or GCP preferred) and with containerised applications (Docker).
Compensation
- Depending on level of experience (IC4 - $157,500 - $197,500)
- Shorter work weeks (at full pay): Everyone gets Friday afternoons off, so you can start your weekend early, and do more of whatever it is that makes you happy.
- Competitive salary Range: Depending on level of experience (IC4 - $157,500 - $197,500)
Benefits
- Health care plan (Medical, Dental & Vision): Auror covers 100% of the cost of your individual health insurance plan with Anthem & Metlife.
- Family-friendly: We offer comprehensive paid parental leave - 12 weeks for birth parents and 6 weeks for non-birth parents following birth, adoption, or surrogacy, available to all Aurors from day one.
Company info
- We are hard-working and outcome focused, but recognise there is more to life than work.
- We promote a healthy work/life blend.
- You'll own part of a company making a real difference!
- Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work.
- If you're excited about our mission and you have the experience and a passion for this role, please hit "Apply".
- If you're not sure that you tick all the boxes but feel you're close to what we're looking for, please apply anyway!
- You'll be asked to submit a cover letter as part of your application.
This listing is sourced directly from Auror's careers page and normalized into a canonical job model.