Principal Platform Engineer – Data Ops Engineer
DIRECTV
AirflowApacheAWSJavaScriptJenkinsJMeterPySparkPythonShell ScriptingSparkSplunk
Machine Learning Platform Engineer II
Dave
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $112,000 - $178,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowPythonPyTorchScikit-LearnSparkSQLTensorflow
About the role
- Delivers consistent, high-quality Python code for our Machine Learning Platform, including our in-house Feature Store, real-time scoring service, and infrastructure for all aspects of the model development lifecycle.
- Helps eliminate the potential for member-impacting issues by writing thorough tests (unit, integration, etc.) and participating in thoughtful code reviews.
- Identifies and helps resolve performance bottlenecks in new and existing platform components.
- Effectively receives and addresses feedback on code and system designs.
- Collaborates closely with Data Scientists and other engineers to understand their needs and challenges, ensuring our platform is meeting their requirements.
- Adjusts explanations of technical concepts to varying audiences (e.g. other engineers, data scientists, or product managers).
- Clearly understands the trade-offs in technical solutions. Proactively seeks clarity on priorities to ensure we're building the right things at the right time.
- Suggests process improvements for the team to enhance our quality, velocity, and overall engagement.
Requirements
- A BS or MS in Computer Science, a related technical field, or equivalent practical experience.
- 3+ years of professional software development experience.
- Proficiency in Python and familiarity with the end-to-end Machine Learning lifecycle and common Machine Learning frameworks (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow).
- Experience in common database query languages and technologies (SQL required; Snowflake, non-relational query languages optional).
- A collaborative spirit and a knack for creating maintainable and reliable software.
- Strong analytical and problem-solving skills.
- Bonus points for experience with MLOps tools, real-time data processing / streaming systems, or feature stores.
- Experience with workflow orchestration tools (e.g., Airflow) and large-scale data processing frameworks (e.g., Spark, Beam) is a plus.
Benefits
- Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
- Flexible hours and virtual first work culture with a home office stipend
- Premium Medical, Dental, and Vision Insurance plans
- Generous paid parental and caregiver leave
- 401(k) savings plan with matching contributions
- Financial advisor and financial wellness support
- Flexible PTO and generous company holidays, including Juneteenth and Winter Break
- All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonMachine LearningScikit-learnXGBoostPyTorchTensorFlowSQLAirflowSparkBeam
Soft skills
collaborationanalytical skillsproblem-solvingcode reviewfeedback receptionprocess improvementcommunicationadaptability
Certifications
BS in Computer ScienceMS in Computer Science
