Job summary
Job post source
This job is directly from Jobright.ai, as the description focuses on the company's mission and specific product Piai™ without mentioning a third-party recruiter.
Job overview
The Early Career Machine Learning Engineer role at Jobright.ai involves developing and deploying machine learning models to enhance generative AI applications, directly impacting justice outcomes for personal injury victims.
Responsibilities and impact
The role includes researching and prototyping ML/NLP/generative AI models, preparing and engineering data, designing and analyzing experiments, productionizing models within microservices, collaborating cross-functionally, and continuous learning and sharing of AI research insights.
Experience and skills
Candidates must have a Ph.D. or M.S. in a relevant field, solid ML fundamentals, hands-on NLP/generative AI experience, proficiency in Python and ML libraries, familiarity with SQL and data engineering, strong communication and analytical skills, with preferred experience in cloud platforms, experiment tracking, and containerized deployment.
Company information
Jobright.ai is a fast-growing generative AI startup focused on leveling the playing field for personal injury victims through innovative AI solutions like Piai™.
Unique job features
The job offers unique opportunities to work on cutting-edge generative AI technologies in a startup environment focused on social impact and justice improvement.
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
Position your resume to emphasize your academic background in machine learning or related fields, highlighting any hands-on experience with NLP and generative AI techniques like transformers and LLMs.
Focus on showcasing your skills in Python and relevant ML/NLP libraries such as PyTorch, TensorFlow, and Hugging Face, along with your ability to handle data preparation, feature engineering, and experimentation workflows.
Apply through multiple channels including Jobright.ai’s corporate career page and LinkedIn to maximize your chances of being noticed for the Early Career Machine Learning Engineer role.
Connect on LinkedIn with professionals in the machine learning or AI divisions at Jobright.ai; start conversations by referencing recent advances in generative AI or asking about their work on Piai™ to break the ice.
Optimize your resume for ATS by incorporating keywords from the job description such as 'LLM fine-tuning,' 'retrieval-augmented generation,' 'microservices architecture,' and 'experiment tracking' to ensure it passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate applying across platforms, tailor your resume for ATS, and identify relevant LinkedIn contacts, freeing up your time to prepare for interviews and deepen your knowledge.
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