Senior Machine Learning Engineer

Allstate Insurance Company; United States; Remote; USD 112,000 - 197,000; Full time

Job summary

Join a leading company as a Senior Machine Learning Engineer where you'll leverage cutting-edge technology and AI to redefine customer experiences. You'll be part of a dynamic team, driving innovation and operational efficiency, while mentoring junior engineers and guiding complex ML projects. A growth-oriented environment awaits you, with competitive compensation and opportunities for impact.

Qualifications

• 3+ years of experience in programming languages like Python, Java, or C++.
• Experience applying machine learning algorithms and principles.
• Able to mentor junior engineers and navigate complex modeling.

Responsibilities

• Solve business problems using machine learning techniques.
• Guide junior engineers in model development and implementation.
• Work on complex machine learning projects both independently and collaboratively.

Skills

Algorithms

Applied Machine Learning

Artificial Intelligence (AI)

Deep Learning

Machine Learning

Machine Learning Algorithms

Education

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics

Ph.D. is a plus

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. Our mission is to harness cutting-edge technology, innovative product design, and the power of artificial intelligence with an emphasis on generative AI, to create a world-class customer experience that transcends boundaries.
We aim to redefine the customer experience, ensuring consistency across all touchpoints and channels while unveiling substantial opportunities for operational efficiency.

Become a part of our story...

At Allstate Technology Solutions, you’ll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what is possible. The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery.

As a Senior Machine Learning Engineer (MLE), you relish the challenge of solving business problems using the latest techniques and tools to bring models to life that deliver business value. You bring prior industry experience in machine learning and derive satisfaction from guiding junior engineers. Quick to learn and adapt, you are capable of utilizing all resources at your disposal—software, algorithms, models, and more—to comprehend and effectively handle intricate problems. You consider modeling within the context of implementation and runtime considerations. You are eager to contribute to model development across the entire lifecycle - from cloud services deployment, model tuning, to application deployment.

As a Senior MLE, you will be part of a team comprised of junior and other senior MLEs. You should be comfortable working either independently or collaboratively with other engineers to derive business value from complex machine learning projects.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or another quantitative major. A Ph.D. is a plus.

• Experience applying machine learning algorithms and principles.

• Ability to navigate decisions between traditional modeling and GenAI.

• Ability to collaborate effectively with product managers, engineers, and business leaders.

• Can work independently on complex modeling projects.

• Experience mentoring junior engineers.

• 3+ years of experience in programming languages like Python, Java, or C++.

• 3+ years of experience using machine learning frameworks like PyTorch, TensorFlow, or Scikit-learn.

• Prior experience using deep learning, natural language processing, computer vision, or knowledge representation and reasoning to solve a business problem a plus.

• Prior experience prompting large language models and building RAG applications is a plus.

• Prior experience using cloud services (AWS, Azure, GCP) is a plus.

#LI-TE1

Skills

Algorithms, Applied Machine Learning, Artificial Intelligence (AI), Deep Learning, Machine Learning, Machine Learning Algorithms

Compensation

Compensation offered for this role is $112,000.00 - 196,750.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Good Hands. Greater Together.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

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It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.