Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
This entry-level Machine Learning Engineer role at Allstate involves solving business problems using machine learning to develop and deploy models that add business value.
Responsibilities and impact
The candidate will solve business problems with machine learning techniques, contribute to model development across the lifecycle including deployment and tuning, and collaborate with product managers, engineers, and business leaders.
Experience and skills
Required qualifications include a Bachelor's or Master's in a quantitative field, 0-3 years of machine learning or data science experience, programming skills in Python, Java, or C++, and experience with ML frameworks like PyTorch or TensorFlow; a Ph.D. and experience in deep learning, NLP, computer vision, or prompting large language models are preferred.
Company information
Allstate is an insurance company offering car, home, and life insurance services and is the parent organization for this role.
Job location and travel
This is a remote position.
Company overview
Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.
How to land this job
Tailor your resume to highlight your academic background in quantitative fields like Computer Science, Mathematics, or Statistics, emphasizing any experience with machine learning algorithms and frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Focus on demonstrating your ability to collaborate with cross-functional teams including product managers, engineers, and business leaders, as teamwork is a key part of the role at Jobright.ai.
Apply through multiple platforms including Jobright.ai's corporate website and LinkedIn to maximize your application visibility and chances of being noticed.
Connect with current employees in the machine learning or engineering division at Jobright.ai on LinkedIn; start conversations by mentioning recent projects or innovations at the company or by asking about their experience working on machine learning models in insurance.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning algorithms,' 'model development,' 'Python,' 'TensorFlow,' and 'collaboration,' ensuring your resume passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate applying across multiple channels, tailor your resume for ATS, and identify LinkedIn connections to network with, allowing you to focus more effectively on preparing for interviews and skill development.
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