The role involves designing and building advanced machine learning systems, leading technical oversight, and developing strategic capabilities in a remote setting.
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
Duties: Design and build highly complex machine learning systems. Identifies, researches and realizes key machine learning technical capabilities in the industry. Leads Applied Machine Learning software engineering technical competency across multiple work streams. Develops and manages technical capability roadmap and setting the long-term strategies within machine learning space. Provides technical oversight with multiple machine learning work streams. Applies in-depth knowledge of functional area goals and strategy when selecting technology capabilities and building solutions. Leads and performs strategic venture technology due diligence activities in the related field. Collaborates and leads others in key business and/or functional initiatives as part of advanced research efforts and cutting-edge technical capabilities realization. Introduces and leads change effectively as part of ongoing initiatives or overall team goals. Responsible for all technical aspects of advanced research and forward engineering in the field of machine learning, information retrieval, artificial intelligence, natural language processing, and ontology engineering technologies. Responsible for the vision and realization of cutting-edge technical capabilities into business applications and solutions. This position is 100% remote and can be performed from anywhere within the United States.
Requirements: Bachelor's degree in Electrical Engineering, Computer Engineering or related field (willing to accept foreign education equivalent) plus six years of experience in performing machine learning algorithm and data pipeline implementation. Or, alternatively, a master's degree in Electrical Engineering and Computer Engineering or a related field (willing to accept foreign education equivalent) and four years of experience performing machine learning algorithm and data pipeline implementation. Experience must include (quantitative experience requirements not applicable to this section): Developing technical solutions using software engineering, including machine learning, artificial intelligence, natural language processing, and ontology engineering; Designing and developing cognitive business applications based on front and backend technical experience; Using supervised and unsupervised machine-learning techniques, as well as deep machine-learning techniques, including conventional neural network; and Designing and building high complexity machine learning systems in the advertisement technology industry. Submit resume to Allstate Insurance Company, https://www.allstate.jobs/job-search-results/ Ref Position # R20114
Skills
Compensation
Salary: $172,000.00 to $275,000.00/year. Salary for this specific job is $185,000.00.
(Northbrook, IL. This position is fully remote and can be performed from anywhere in U.S.)
The candidate(s) offered this position will be required to submit to a background investigation.
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.
Job Description
Duties: Design and build highly complex machine learning systems. Identifies, researches and realizes key machine learning technical capabilities in the industry. Leads Applied Machine Learning software engineering technical competency across multiple work streams. Develops and manages technical capability roadmap and setting the long-term strategies within machine learning space. Provides technical oversight with multiple machine learning work streams. Applies in-depth knowledge of functional area goals and strategy when selecting technology capabilities and building solutions. Leads and performs strategic venture technology due diligence activities in the related field. Collaborates and leads others in key business and/or functional initiatives as part of advanced research efforts and cutting-edge technical capabilities realization. Introduces and leads change effectively as part of ongoing initiatives or overall team goals. Responsible for all technical aspects of advanced research and forward engineering in the field of machine learning, information retrieval, artificial intelligence, natural language processing, and ontology engineering technologies. Responsible for the vision and realization of cutting-edge technical capabilities into business applications and solutions. This position is 100% remote and can be performed from anywhere within the United States.
Requirements: Bachelor's degree in Electrical Engineering, Computer Engineering or related field (willing to accept foreign education equivalent) plus six years of experience in performing machine learning algorithm and data pipeline implementation. Or, alternatively, a master's degree in Electrical Engineering and Computer Engineering or a related field (willing to accept foreign education equivalent) and four years of experience performing machine learning algorithm and data pipeline implementation. Experience must include (quantitative experience requirements not applicable to this section): Developing technical solutions using software engineering, including machine learning, artificial intelligence, natural language processing, and ontology engineering; Designing and developing cognitive business applications based on front and backend technical experience; Using supervised and unsupervised machine-learning techniques, as well as deep machine-learning techniques, including conventional neural network; and Designing and building high complexity machine learning systems in the advertisement technology industry. Submit resume to Allstate Insurance Company, https://www.allstate.jobs/job-search-results/ Ref Position # R20114
Skills
Compensation
Salary: $172,000.00 to $275,000.00/year. Salary for this specific job is $185,000.00.
(Northbrook, IL. This position is fully remote and can be performed from anywhere in U.S.)
The candidate(s) offered this position will be required to submit to a background investigation.
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.
Top Skills
Artificial Intelligence
Machine Learning
Natural Language Processing
Ontology Engineering
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
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- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories