Navan Group
Machine Learning Engineer
Navan Group, Palo Alto, California, United States, 94306
At Navan, "It's all about the user. All of them." We're passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they're going.Navan is looking for a
Machine Learning Engineer
with strong MLOps skills to join our growing team. You will work within our world-class data organization to help modernize and scale our ML platform, powering our data-driven company and supporting our rapidly evolving machine learning needs. You'll have the opportunity to improve our existing ML infrastructure and to design, build and maintain ML deployment processes and pipelines. The ideal candidate will be extremely curious and will use their ML skills and business mindset to make a difference every day. We are looking for people who can thrive in a fast-paced environment by dealing with multiple moving pieces while still maintaining quality, long-term thinking, and delivering value to our customers. We take great pride in our diversity of backgrounds, cultures, and perspectives and we strongly believe this is helping us to grow as a successful and impactful team.What You'll Do:Design, implement, and optimize MLOps architectures to support Navan's machine learning initiativesWork closely with data science, product, and engineering teams to develop and deploy advanced ML models, including recommendation systems and rankersDevelop, productize and maintain ML pipelines for model training, evaluation, deploymentDesign and Implement best practices for model versioning, experimentation, and reproducibilityContinuously improve our ML infrastructure for stability, scalability, observability, and securityDevelop internal tooling and libraries to enhance ML workflow efficiencyReview and manage user access, creating documentation for best practicesWhat We're Looking For:BS or MS in Computer Science, Engineering, Mathematics, or related technical field3+ years of relevant work experience in Machine Learning Engineering or MLOpsStrong proficiency in Python and TerraformHands-on expertise and experience in deploying models via AWS SageMaker, AWS Bedrock, including open source LLM modelsHands-on experience with evaluating and selecting LLMs for business problemsDeep knowledge of AWS core services (EC2/ECS, RDS, S3, Lambda, API Gateway etc.)Hands-on experience with CI/CD pipeline implementation using tools like GitHub (Workflows and Actions), Docker, Jenkins, Blue OceanStrong understanding of MLOps best practices and toolsHands-on experience with model monitoring, drift detection, and automated retraining processesFamiliarity with containerization and orchestration technologies (Docker, AWS Fargate, Kubernetes)Strong understanding of recommendation systems and ranking algorithmsExperience with ML online experimentation frameworks and A/B testingSolid foundation in probability and statisticsFamiliarity with Snowflake for data storage and processingStrong problem-solving skills and ability to work in a fast-paced, collaborative environmentWorkplace PolicyNavan believes in the value of in-person connections, whether that is sitting down to have lunch with one another, taking a walking 1:1, or collaborating in a room together. The connections forged through face-to-face interactions improves company culture and drives business results. Navan invests in global office spaces — in the US, Germany, France, Spain, and the UK, among others — that feel welcoming and offers perks such as lunches and happy hours to create a strong team environment to help you do your best work. We operate on a hybrid working model, which we define as three days a week in-office. Please expect this policy for all roles that are tied to an office.Navan is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the bases of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We prohibit any such discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.AccommodationsNavan complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law. Navan will reasonably accommodate qualified individuals with a disability in connection with applications for employment as required by law.
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Machine Learning Engineer
with strong MLOps skills to join our growing team. You will work within our world-class data organization to help modernize and scale our ML platform, powering our data-driven company and supporting our rapidly evolving machine learning needs. You'll have the opportunity to improve our existing ML infrastructure and to design, build and maintain ML deployment processes and pipelines. The ideal candidate will be extremely curious and will use their ML skills and business mindset to make a difference every day. We are looking for people who can thrive in a fast-paced environment by dealing with multiple moving pieces while still maintaining quality, long-term thinking, and delivering value to our customers. We take great pride in our diversity of backgrounds, cultures, and perspectives and we strongly believe this is helping us to grow as a successful and impactful team.What You'll Do:Design, implement, and optimize MLOps architectures to support Navan's machine learning initiativesWork closely with data science, product, and engineering teams to develop and deploy advanced ML models, including recommendation systems and rankersDevelop, productize and maintain ML pipelines for model training, evaluation, deploymentDesign and Implement best practices for model versioning, experimentation, and reproducibilityContinuously improve our ML infrastructure for stability, scalability, observability, and securityDevelop internal tooling and libraries to enhance ML workflow efficiencyReview and manage user access, creating documentation for best practicesWhat We're Looking For:BS or MS in Computer Science, Engineering, Mathematics, or related technical field3+ years of relevant work experience in Machine Learning Engineering or MLOpsStrong proficiency in Python and TerraformHands-on expertise and experience in deploying models via AWS SageMaker, AWS Bedrock, including open source LLM modelsHands-on experience with evaluating and selecting LLMs for business problemsDeep knowledge of AWS core services (EC2/ECS, RDS, S3, Lambda, API Gateway etc.)Hands-on experience with CI/CD pipeline implementation using tools like GitHub (Workflows and Actions), Docker, Jenkins, Blue OceanStrong understanding of MLOps best practices and toolsHands-on experience with model monitoring, drift detection, and automated retraining processesFamiliarity with containerization and orchestration technologies (Docker, AWS Fargate, Kubernetes)Strong understanding of recommendation systems and ranking algorithmsExperience with ML online experimentation frameworks and A/B testingSolid foundation in probability and statisticsFamiliarity with Snowflake for data storage and processingStrong problem-solving skills and ability to work in a fast-paced, collaborative environmentWorkplace PolicyNavan believes in the value of in-person connections, whether that is sitting down to have lunch with one another, taking a walking 1:1, or collaborating in a room together. The connections forged through face-to-face interactions improves company culture and drives business results. Navan invests in global office spaces — in the US, Germany, France, Spain, and the UK, among others — that feel welcoming and offers perks such as lunches and happy hours to create a strong team environment to help you do your best work. We operate on a hybrid working model, which we define as three days a week in-office. Please expect this policy for all roles that are tied to an office.Navan is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the bases of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We prohibit any such discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.AccommodationsNavan complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law. Navan will reasonably accommodate qualified individuals with a disability in connection with applications for employment as required by law.
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