Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
This expert role will be responsible for multiple major technical aspects and forward engineering in the field of machine learning, information retrieval, artificial intelligence, natural language processing, and ontology engineering technologies. Plays a key role in the vision and realization of cutting-edge technical capabilities into business applications and solutions.
• Lead Applied Machine Learning software engineering technical competency
• Identify, research and realize key machine learning technical capabilities in the industry
• Lead design and build mid to high complexity machine learning systems
• Assist in performing strategic venture technology due diligence activities in the related field
• Apply applicable policies and standards while working toward specific objective
• Independently directs implementation of new initiatives for machine learning technology solutions
• Analyzes long-term impact of new or anticipated strategies
• Lead the revision of current practices; lead innovation in technical capability delivery
• Builds cross-functional partnerships with internal technology and business teams to achieve the business objectives
• Adapts communication techniques for audiences at multiple internal/external levels to achieve clear representation of complex concepts and business use cases
• Expert experience in software engineering
• Expert experience in machine learning or artificial intelligence software engineering
• Both front and backend technical experience with cognitive business applications.
• Instinctive knowledge of how people will want to use a product, service, or solution that solves a real-world business problem.
• Expert on various supervised and unsupervised machine-learning techniques
• Hands on experience with various deep machine-learning techniques
• Expert in two or more with following areas: machine learning, natural language processing, or ontology engineering technologies
• 4 year Bachelors Degree (Preferred)
• 7 or more years of experience (Preferred)
• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.
• No Certification, License or Registration is required for the job.
Compensation offered for this role is $105,500.00-$178,250.00 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.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn
#LI-JB2
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
Yearly based
Remote, US