Junior Machine Learning Engineer (Remote - Home Based Worker)

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.


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 LinkedIn 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 budding 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 Junior Machine Learning Engineer, you are excited by the challenge of learning and applying the latest techniques and tools to bring models to life that deliver business value. You are eager to gain industry experience with machine learning and are open to guidance and mentorship. 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. 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.

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or another quantitative major. A Ph.D. is a plus.
  • Fundamental understanding of machine learning algorithms and principles.
  • 1+ years of experience using programming languages like Python, Java, or C++.
  • 1+ years of experience with machine learning frameworks like PyTorch, TensorFlow, or Scikit-learn.
  • Prior experience with natural language processing, computer vision, or knowledge representation and reasoning in a corporate or academic setting.
  • Prior experience with deep learning techniques in a corporate or academic setting.
  • 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 $93,000.00-$126,000.00 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®.


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 https://www.allstate.jobs/benefits/


Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.


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, 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

Related Jobs



Director, Machine Learning

  • ML (Machine Learning)
  • Full Time
  • asr
  • engineering
  • gcp
  • golang
  • graphql
  • javascript
  • kubernetes
  • machine learning
  • nlp
  • pipelines


Machine Learning Internship Summer 2024

  • ML (Machine Learning)
  • Full Time
  • computer science
  • generative ai
  • generative modeling
  • machine learning
  • ml models
  • numpy
  • pandas
  • python
  • pytorch


System Development Engineer II, AI/ML ADC

  • ML (Machine Learning)
  • Full Time
  • agile
  • aws
  • ci/cd
  • computer science
  • cx
  • distributed systems
  • engineering
  • golang
  • government agency
  • java
Land your dream job
Get a weekly email with the latest startup jobs.