Senior Machine Learning Engineer

About CheckrCheckr 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 has been recognized as one of BuiltIn's 2023 Best Places to Work in the US and is a Y Combinator 2023 Breakthrough Company.About the roleAs a Senior ML Engineer on the ML/Applied Scientist Team at Checkr, you will be responsible for building and managing several ML/AI algorithms, processes, and tools that Product Engineering teams rely on to deliver Checkr’s products and features. You will work closely with engineering and product teams to help them implement the best algorithms and processes at scale in their services.What you’ll doDevelop Cutting-Edge ML/AI Solutions

: Collaborate closely with product and engineering teams to design, develop, and deploy innovative ML/AI models and algorithms. These solutions will target enhancing gross margin efficiency and optimizing our background check processes.Integrate ML/AI in Products:

Partner with product teams to embed and scale ML/AI capabilities within our external product offerings, ensuring state-of-the-art technology is seamlessly integrated to provide tangible value to our users.Data Analysis and Feature Engineering

: Conduct thorough data analysis, identify key features, and preprocess data to create robust and scalable ML models that drive process improvements.Model Evaluation and Optimization

: Evaluate the performance of machine learning models, iterating and optimizing them for accuracy, efficiency, and scalability.Cross-Functional Collaboration

: Work in tandem with various stakeholders, including data scientists, software developers, and product managers, to understand business requirements and translate them into technical solutions.Stay Ahead of Industry Trends

: Keep abreast of the latest advancements in machine learning, artificial intelligence, and related fields, championing innovation and applying cutting-edge techniques to solve complex problems.Mentorship and Leadership

: Provide guidance and mentorship to junior engineers within the team, fostering a culture of continuous learning and improvement.What you bringIndustry experience

: 7+ years, especially in roles focused on machine learning.Regression-based problem-solving

: Proven ability to solve regression-based problems, enhancing business insights and operational efficiency.Production-ready NLP systems

: Experience building NLP systems that are ready for production, demonstrating expertise in natural language processing.Distributed systems

: A solid background in working with distributed systems, ensuring scalability and reliability of solutions.Programming skills

: Proficiency in Ruby or Python, enabling seamless implementation and integration of your solutions.ML frameworks

: Hands-on experience with building and designing experiments to evaluate different ML/AI algorithms (including deep learning).GenAI -

Knowledge of generative AI, fine tuning and AI design patterns is a plus.Data manipulation and analysis

: Proficiency with Pandas and sci-kit learn, essential for data preprocessing and model evaluation.Educational background

: BSc, MSc, or PhD in Computer Science, Mathematics, or a related technical field, providing a strong foundation in technical knowledge and problem-solving skills.What you’ll getA fast-paced and collaborative environmentLearning and development allowanceCompetitive compensation and opportunity for advancement100% medical, dental, and vision coverageUp to $25K reimbursement for fertility, adoption, and parental planning servicesFlexible PTO policyMonthly wellness stipend, home office stipendCatered Lunch and snacks_At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are

expected to work from the office 2 to 3 days a week ._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 base salary range for this role is

$199,441

to

$269,833

in San Francisco, CA.Equal Employment Opportunities at CheckrCheckr 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

.

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