ML Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

REMOTE: Qualified candidates (outside of hub locations listed below) may be considered for 100% remote work arrangements based on where a candidate currently resides or is currently located.

HYBRID: Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.

We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!

For Los Angeles candidates: Pursuant to the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with criminal histories.

For San Francisco candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

For Colorado candidates:

Compensation Range: $84,620.00 - $154,800.00

 Competitive Benefits, including:

• 401k Plan
• Health Insurance
• Dental/Vision plans
• Life Insurance
• Paid Time Off
• Annual Merit Increases
• Tuition Reimbursement
• Health Initiatives
• For more details visit our benefits summarypage

Responsibilities

A Day in the Life of a Machine Learning Engineer:

As a Machine Learning Engineer, you will play in integral role within State Farm for helping build and support advanced analytic solutions that are used across the enterprise. Machine Learning Engineers are responsible for helping deploy data science solutions, build solutions that optimize analytic workflows, and assisting with analytic research requests. With this role, your work will help increase use of advanced analytics for decision making throughout the company.

Why Join Our Team:

Being part of the Machine Learning Engineering team at State Farm will help facilitate your professional growth across multiple development areas. First, you will strengthen your communication skills through interactions with key business partners that require you to articulate technical concepts in a non-technical way. Additionally, the variety of projects that you work on will allow you to refine your knowledge for advanced analytic topics, software development practices, and tool development for use by the department. Finally, to help keep your skills sharp, this role includes an opportunity for practical research and continued professional development with opportunities to learn and leverage cutting edge tools and many different programming languages.

This is a Hybrid position, which means selected candidates will be assigned to a facility and will spend some time working both in office and from their home.

Incumbency: This position will have a 18-month incumbency period, beginning on the effective date of the position, which must be met before the employee can post for any other lateral State Farm position. Employees may be considered for leadership or Technology Engineer openings at any time, and a promotional position within the same job structure (i.e. Professional/Technical or Paraprofessional/Support) after 6 months from the effective date of the position. In these cases, the remaining incumbency would be waived. The incumbency period does not affect the at-will relationship between State Farm and the employee and does not create an employment contract, nor contractual rights.

Qualifications

Preferred Skills & Professional Experience:

• Completed Bachelors, other advanced degrees,and 2+ years' experience in a computer science or technology related field such as DevOps engineering, software engineering, or developer
• Proficiency with Python 3+, including libraries such as Pandas, Numpy, Scikit-learn, FastAPI, Flask, Tensorflow, PyTorch
• Experience with gathering and creating analytic business requirements, researching potential data sources (both internal and external sources), designing, developing and maintaining data assets
• Familiarity with algorithms associated advanced analytic topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, and Natural Language Processing
• Demonstrated understanding of software engineering topics, including classes, functions, version control, CI/CD, and unit tests
• Experience deploying models for batch, synchronous, and/or asynchronous consumption
• Familiarity with Containerization through Docker
• Technical expertise with multiple compute environments, including Linux, AWS, and Kubernetes

Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity