Senior AI Solutions Engineer

About Checkr
Checkr builds people infrastructure for the future of work. We've designed a faster—and fairer—way to screen job seekers. Established in 2014, Checkr puts modern technology powered by machine learning in the hands of hiring teams, helping to hire great new people with an experience that’s fast, smooth, and safe. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable. 

A career at Checkr means collaborating with brilliant minds, disrupting an industry, and opening channels of employment to often overlooked candidates. Checkr is recognized on Forbes Cloud 100 2024 List and is a Y Combinator 2024 Breakthrough Company.

About the team/role

Join the IT Engineering team as an AI Solutions Engineer, where you'll play a vital role in enhancing employee productivity across all departments at Checkr. In this role, you will leverage cutting-edge AI technologies—including Large Language Models and Retrieval Augmented Generation—to develop and deploy AI-driven solutions that address complex internal challenges. Collaborating closely with a diverse set of internal stakeholders, you'll have the opportunity to shape technological strategies that directly impact our mission to build the safe and fair data platform of the future.  

What you’ll do:  

• Engage with Internal Teams: Collaborate with internal stakeholders across various departments to understand their workflows, identify pain points, and uncover opportunities where AI can enhance productivity and efficiency.
• Develop AI Solutions: Design, develop, and deploy bespoke AI solutions tailored to meet the specific needs of internal teams, improving processes and decision-making capabilities.
• Cross-Functional Collaboration: Work closely with Engineers, Product Designers, and other AI Solutions Engineers to integrate AI technologies into existing systems and workflows.
• Iterate and Improve: Collect feedback from internal users to iterate on AI solutions, ensuring they continue to meet evolving needs and drive concrete impact within the organization.
• Training and Enablement: Lead training sessions and workshops to empower internal teams with the knowledge and tools to effectively utilize AI solutions.
• Strategic Planning: Contribute to the shaping of AI strategies and roadmaps aligned with organizational goals, ensuring that AI initiatives deliver maximum value.
• Stay Current with AI Trends: Continuously research and stay informed about the latest advancements in AI to incorporate relevant innovations into internal solutions.
• Communicate Insights: Present findings, progress updates, and future proposals to internal stakeholders, ranging from team members to executive leadership.

What you’ll bring:  

• Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus.
• Engineering Leadership Experience: 5+ years of experience in engineering roles with a focus on building and deploying AI technologies that drive productivity.
• AI Expertise: 3+ years of hands-on experience developing AI-infused products, including machine learning, generative AI, deep learning, and statistical modeling techniques.
• Technical Proficiency: Strong programming skills in languages such as Python; experience with AI frameworks like TensorFlow, PyTorch, or similar tools.
• Analytical Mindset: Exceptional ability to tackle open-ended problems in unstructured environments, synthesizing complex data into actionable insights.
• Collaborative Approach: Proven track record of working effectively within cross-functional teams, with strong interpersonal and communication skills.
• Adaptability: Flexible and introspective, with a willingness to learn, teach, lead, and follow as situations require.
• Passion for Innovation: A deep interest in leveraging AI to transform internal processes and enhance employee productivity.

Additional Skills Desired

• Strong experience in building web applications and deploying containerized application deployments that run in Public Clouds such as AWS.
• Experience leveraging Azure Cognitive Services.
• Proven hands-on expertise and familiarity working with LLMs, RAGs, and open-source frameworks such as Lang Chain and Langflow.

What you’ll get:

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend, home office stipend

One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website. 

The salary range for this role is $177,000 - $208,000 in San Francisco, CA.

Equal Employment Opportunities at Checkr

Checkr is committed to hiring talented and qualified individuals with diverse backgrounds for all of its tech, non-tech, and leadership roles. Checkr believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.   

Checkr also welcomes the opportunity to consider qualified applicants with prior arrest or conviction records. Checkr’s commitment to diversity extends to hiring talented individuals in spite of a prior criminal history in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.