Staff AIML Engineer
Staff AIML Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 115000 - 230000
1 Vacancy
Job Description
Staff/Sr. Staff AI/ML Engineer
Overview:
GEICO is seeking an experienced Staff or Sr. Staff Machine Learning Engineer to join the AI organization. This person will take on a critical leadership role in designing implementing and deploying cuttingedge machine learning models that solve realworld business challenges. You will collaborate with various business units to build scalable highperformance ML systems with a strong emphasis on system design. In addition to technical contributions you will mentor junior engineers drive the full lifecycle of machine learning model development and ensure that models are seamlessly integrated into production. This position requires expertise in both machine learning and software engineering to develop robust productiongrade solutions.
Key Responsibilities:
- Lead the Design & Implementation of ML Models: Lead the architecture and implementation of machine learning models working closely with Product Business Units and Engineering teams.
- Build Scalable Infrastructure: Design and develop scalable infrastructure for model training automated hyperparameter tuning and deployment pipelines ensuring that systems are reliable and performant at scale.
- Write ProductionGrade Code for ML Services and APIs: Write highquality maintainable productiongrade code that turns machine learning models into deployable services and APIs. Ensure that code is modular and reusable for future ML projects.
- Optimize Model Performance and Resolve Issues: Debug and troubleshoot model performance issues track key metrics and continuously enhance model reliability speed and efficiency in production environments.
- EndtoEnd Model Lifecycle Management: Own the complete lifecycle of ML models including monitoring retraining and managing versions of models to ensure they continue to meet business needs over time.
- Leadership and Mentorship: Guide and mentor junior machine learning engineers promote best practices in software engineering model development and deployment. Lead technical decisionmaking processes and foster collaboration within the team.
- Collaboration Across Teams: Collaborate with crossfunctional teams (e.g. data engineering software development and product management) to integrate machine learning models and ensure smooth deployment and operations in production systems.
- Stay Up to Date with Industry Trends: Continuously explore and integrate new machine learning techniques and system engineering tools ensuring the team remains at the forefront of machine learning and systems architecture practices.
Basic Qualifications:
- B.Sc. in Computer Science Machine Learning Engineering or a related technical field.
- 6 years of handson experience applying machine learning techniques including deep learning reinforcement learning and NLP in production environments.
- 6 years of experience utilizing opensource/cloudagnostic components such as data warehouse (e.g. snowflake) streaming platform (e.g. Kafka) relational database (e.g. PostgreSQL) NoSQL (e.g. MongoDB Cassandra) distributed processing (e.g. Spark Ray) workflow management (e.g. Airflow Temporal) etc.
- 6 years of professional software development experience with at least two generalpurpose programming languages such as Java C Python or C#.
- 6 years of experience with machine learning frameworks such as TensorFlow PyTorch Scikitlearn for model development.
- At least 4 years of experience with cloud platforms (AWS Azure GCP) and containerization technologies such as Docker as well as orchestration tools like Kubernetes.
- Proven experience in deploying machine learning models in a production environment ensuring scalability reliability and high availability.
Core Engineering Skills & Knowledge:
- Extensive experience with objectoriented design (OOD) design patterns writing clean and maintainable code. Proficiency in version control (Git) and familiarity with Agile methodologies.
- Solid understanding of distributed systems and the challenges associated with scaling machine learning models in production such as managing distributed data processing and microservices architectures.
- Expertise in implementing MLOPs practices including setting up continuous integration (CI) continuous delivery (CD) automated testing and deployment pipelines for ML models.
- Strong understanding of system architecture performance optimization designing faulttolerant systems that handle largescale data and highvolume requests.
- Experience designing and deploying machine learning models using cloudbased environments like AWS Azure or Google Cloud. Familiarity with cloudnative tools such as AWS Sage Maker GCP AI Platform or Azure Machine Learning.
- Experience setting up monitoring and logging systems to track performance in production environments and ensuring efficient resource utilization.
Preferred Qualifications:
- Experience with designing and building highperformance distributed systems that handle largescale data ingestion and processing for machine learning workloads.
- Experience with realtime inference pipelines and lowlatency model serving.
- Familiar with serverless computing or managed services for ML model deployment.
- Advanced degree (M.Sc. Ph.D. in a related field is a plus.
- Experience in working with GPU/TPU optimization for accelerated model training and inference.
Annual Salary
$115000.00 $230000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include but are not limited to the scope and responsibilities of the role the selected candidates work experience education and training the work location as well as market and business considerations.
Benefits:
As an Associate youll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and wellbeing including:
- Premier Medical Dental and Vision Insurance with no waiting period**
- Paid Vacation Sick and Parental Leave
- 401(k) Plan
- Tuition Assistance
- Paid Training and Licensures
*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Required Experience:
Staff IC
Employment Type
Full-Time
