Senior Machine Learning Engineer

Job title: Senior Machine Learning Engineer in San Francisco, CA at Checkr Company: Checkr Job description: About Checkr Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr's innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including reputed company, reputed company, Lyft, reputed company, and reputed company.We're a team that thrives on solving reputed company problems with innovative solutions that advance our mission. Checkr is recognized on and is a Y Combinator 2024 .About Checkr Checkr builds people infrastructure for the future of work. And we reputed company everyone should have a fair chance to work. That's why we've designed a faster-and fairer-way to screen job seekers.Checkr puts modern technology powered by machine learning in the hands of hiring teams, helping thousands of companies like reputed company, reputed company, reputed company, reputed company, and reputed company to hire great new people with an experience that's fast, smooth, and safe.A career at Checkr means collaborating with reputed company minds, disrupting an industry, and opening channels of employment to often overlooked candidates. Checkr has been recognized as one of and is a Y Combinator 2023 and .As a Senior Machine Learning Engineer on the ML & AI engineering team at Checkr you will be responsible for building and managing end-to-end, cutting edge ML application systems to contribute to Checkr top strategic goals. You will work closely with other engineering and product teams to implement the best algorithms and processes at scale across Checkr services.What you'll do

• reputed company Cutting-Edge ML/AI Solutions: Collaborate closely with product and engineering teams to design, reputed company, and deploy innovative ML/AI models and algorithms.
• Ship ML/AI in Product: Partner with product teams to embed and scale ML/AI capabilities reputed company our external product offerings, ensuring state-of-the-art technology is seamlessly integrated to provide reputed company value to our users.
• Model Evaluation and Optimization: Fully own the performance of machine learning models, iterating and optimizing them for accuracy, efficiency, and scalability.
• Cross-Functional Collaboration: Work with various stakeholders, including data scientists, software developers, and product managers, to understand business requirements and translate them into technical solutions.
• Stay reputed company of Industry Trends: reputed company abreast of the latest advancements in machine learning, artificial intelligence, and reputed company fields, championing innovation and applying cutting-edge techniques to solve reputed company problems.
• Mentorship and Leadership: Provide guidance and mentorship to junior engineers reputed company the team, fostering a culture of reputed company learning and improvement.

What you bring

• Educational background: BSc, MSc, or PhD in Computer Science, Mathematics, or a reputed company technical field, providing a strong foundation in technical knowledge and problem-solving skills.
• Industry experience: 7+ years, especially in roles focused on machine learning.
• Production-ready ML/NLP systems: Experience building ML/NLP systems ready for production, demonstrating expertise in natural language processing.
• Programming skills: Proficiency in Python, enabling seamless implementation and integration of your solutions.
• ML frameworks: Hands-on experience building and designing experiments to evaluate different ML/AI algorithms ( including deep learning ) is a plus. Knowledge of PySpark and MLOps frameworks like SageMaker and MLFlow is also a plus.
• GenAI: Knowledge of generative AI, fine-tuning, and AI design patterns is a plus
• Data manipulation and analysis: Proficiency with Pandas and sci-reputed company learn, essential for data preprocessing and model evaluation.

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
• Catered Lunch and snacks

At Checkr, we reputed company a hybrid work environment strengthens collaboration, drives innovation, and encourages reputed company. 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. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.One of Checkr's core values is Transparency. To live by that value, we've made the decision to disclose salary ranges in reputed company of our job postings. We use geographic cost of labor as an input to reputed company 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 reputed company range for an exact location reputed company you are selected for a recruiting discussion. For more information on our compensation philosophy, see .The reputed company salary range for this role is $207,000 to $244,000 in San Francisco, CA.Equal Employment Opportunities at CheckrCheckr is committed to hiring talented and qualified individuals with diverse backgrounds for reputed company 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 . Expected salary: Location: San Francisco, CA Apply for the job now! Apply for this job