Location: Chicago, IL
Company: Allstate
You'll do all this in an environment of excellence and the highest ethical standards - a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live.
Our people are our greatest strength, and we work as one team in service of our customers and communities. Everything we do at Allstate is driven by a shared purpose: to protect people from life's uncertainties so they can realize their hopes and dreams. For more than 89 years we've thrived by staying a step ahead of whatever's coming next - to give customers peace of mind no matter what changes they face. We acted with
conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We've been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection.
We are the Good Hands. We don't follow the trends. We set them. The Team: Allstate is committed to redefining the entire customer insurance journey. By harnessing the power of advanced models, state-of-the-art technologies, and inventive product design, we aim to revolutionize how insurance operates in the 21st century. Our mission is to create a transformative customer experience, from the
moment a customer considers buying coverage with us to the moment they must use that coverage in their time of need, while also unlocking substantial opportunities for operational efficiencies.
Join us in shaping the future. At Allstate, you'll be part of a dynamic, collaborative team that thrives on exploring new capabilities and pushing the boundaries of what's possible. The team works in a continuously innovating cycle of ideas, research, testing, analysis, and delivery. With ongoing growth and development opportunities, you'll not only have the chance to transform our tech products but also to enhance your own skills through programs like Pluralsight and Linked In Learning courses as well as tuition reimbursement.
And that's not all - here at Allstate, we believe in fostering an inclusive workplace that encourages employees to bring their unique perspectives and experiences to the table. We believe in collaborative problem-solving to elevate our customer experience. If you're a Machine Learning Engineer ready to apply your skills and innovative thinking to reshape the insurance industry, we want you on our team. Your expertise will help us drive meaningful changes that enhance the insurance journey for our customers. Ready to make a difference?
Join us. The Position: As a Senior Machine Learning Engineer, you relish the challenge of solving business problems using the latest techniques and tools to bring models to life that deliver business value. You have prior industry experience with machine learning and find fulfillment in teaching and guiding others. You can learn and adapt quickly and are able to use every tool at your disposal-software, algorithms, models, and beyond-to understand and effectively tackle complex problems. You think about modeling in the context of implementation and runtime considerations. You appreciate the difference between training and explaining models, the importance of good metrics, and the tradeoff between exploration and exploitation.
You can perceive common structures between seemingly unrelated problems, and can use this to build tools, algorithms, and models with super-linear value. Your responsibilities include. Developing, implementing, and maintaining models or algorithms used for solving complex problems. Collaborating with cross-functional teams to understand business needs and identifying appropriate machine learning solutions. Conducting experiments to stay up-to-date with the latest technologies and techniques in machine learning and artificial intelligence.
Evaluating and improving the performance of existing machine learning models. Presenting complex data insights in a clear and concise manner to stakeholders. Participating in the full lifecycle of machine learning projects, from conception to deployment. Ensuring the robustness and reliability of the developed systems. Contributing to the development of data strategy and architecture around the developed systems. Leading junior members of the team through the software development and machine learning life cycles.
Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or another quantitative major. A Ph. D. is a plus. Deep understanding of machine learning algorithms and principles. 3 years of experience in programming languages like Python, Java, or C. 3 years of experience using machine learning frameworks like Py Torch, Tensor Flow, or Scikit-learn. Prior experience using natural language processing, computer vision, or knowledge representation and reasoning to solve a business problem. Prior experience using deep learning techniques to solve a business problem.
Prior experience using cloud services (AWS, Azure, GCP) is a plus. Prior experience prompting/tuning large-language models is a plus. Compensation offered for this role is $113,400.00-$156,150.00 per year and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen. Good Work. Good Life. Good Hands. As a Fortune 100 company and industry leader, we provide a competitive salary - but that's just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k).
Plus, you'll have access to a wide variety of programs to help you balance your work and personal life - including a generous paid time off policy. For a full description of Allstate's benefits, visit www. allstate. jobs/benefits/ Learn more about life at Allstate. Connect with us on Twitter , Facebook , Instagram and Linked In or watch a video. #LI-TE1 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.
For jobs in San Francisco, please click " here " for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click " here " for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
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 To view the FMLA poster, click " here " This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. 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, interactionual 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), interaction, or interactionual 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.
Requisition #: dz1rbepqf
Work from Home Jobs are employment opportunities that allow individuals to work remotely from their home environments, leveraging the power of the internet and modern communication technologies. These jobs offer flexibility in work hours, location independence, and the comfort of a personal workspace. Typically found in industries such as tech, customer service, education, and creative fields, they can range from freelance gigs to full-time positions. Key features include virtual meetings, digital collaboration tools, and sometimes the need for self-discipline to manage work-life balance more effectively.
Work from home jobs, also known as remote jobs or telecommuting positions, are employment opportunities that allow individuals to work outside of a traditional office setting, typically from their homes. The primary feature of such jobs is the flexibility in terms of location, which enables a better work-life balance. These positions often rely on digital communication tools for collaboration and task management. Work from home jobs cover a vast range of industries and roles, from freelance writing to software development, and from virtual assistance to customer service. With the advent of advanced technology and high-speed internet, the prevalence of work from home jobs has markedly increased, offering a convenient alternative to the conventional 9-to-5 office job.
Work from Home Jobs are employment opportunities that allow individuals to work remotely from their home environments, leveraging the power of the internet and modern communication technologies. These jobs offer flexibility in work hours, location independence, and the comfort of a personal workspace. Typically found in industries such as tech, customer service, education, and creative fields, they can range from freelance gigs to full-time positions. Key features include virtual meetings, digital collaboration tools, and sometimes the need for self-discipline to manage work-life balance more effectively.
Work from Home Jobs are employment opportunities that allow individuals to work remotely from their home environments, leveraging the power of the internet and modern communication technologies. These jobs offer flexibility in work hours, location independence, and the comfort of a personal workspace. Typically found in industries such as tech, customer service, education, and creative fields, they can range from freelance gigs to full-time positions. Key features include virtual meetings, digital collaboration tools, and sometimes the need for self-discipline to manage work-life balance more effectively.
