Senior MLOps Engineer, Navan
$159.8-280k
3+ days a week in office (Palo Alto, CA)
Travel management company
Be an early applicant
Travel management company
201-500 employees
Be an early applicant
$159.8-280k
3+ days a week in office (Palo Alto, CA)
201-500 employees
Company mission
To reinvent the legacy category of travel and expense with one of the first enterprise technologies utilising the cloud, mobile, and AI to balance business needs with today's modern standards.
Role
Who you are
- 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
- BS or MS in Computer Science, Engineering, Mathematics, or related technical field
- 3+ years of relevant work experience in Machine Learning Engineering or MLOps
- Strong proficiency in Python and Terraform
- Hands-on expertise and experience in deploying models via AWS SageMaker, AWS Bedrock, including open source LLM models
- Hands-on experience with evaluating and selecting LLMs for business problems
- Deep 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 Ocean
- Strong understanding of MLOps best practices and tools
- Hands-on experience with model monitoring, drift detection, and automated retraining processes
- Familiarity with containerization and orchestration technologies (Docker, AWS Fargate, Kubernetes)
- Strong understanding of recommendation systems and ranking algorithms
- Experience with ML online experimentation frameworks and A/B testing
- Solid foundation in probability and statistics
- Familiarity with Snowflake for data storage and processing
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
What the job involves
- Navan is looking for a Senior MLOps Engineer with strong machine learning 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
- Design, implement, and optimize MLOps architectures to support Navan's machine learning initiatives
- 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
- Work closely with data science, product, and engineering teams to develop and deploy advanced ML models, including recommendation systems and rankers
- Develop, productize and maintain ML pipelines for model training, evaluation, deployment
- Design and Implement best practices for model versioning, experimentation, and reproducibility
- Continuously improve our ML infrastructure for stability, scalability, observability, and security
- Develop internal tooling and libraries to enhance ML workflow efficiency
- Review and manage user access, creating documentation for best practices
Our take
Navan (formerly known as TripActions) is operating in a crowded marketplace, betting against rivals with similar offerings of user interface personalisation technology. Even so, the company's growth has skyrocketed and it has attracted significant investor interest. Competitors cannot match Navan's cutting-edge, AI-driven services, as well as 24-hour customer support.
Since its founding in 2015 the company has seen significant growth in transactions and in active users. Having expanded from its core travel expense management product, it now offers a corporate card and general expenses management, underwriting its customers' short term business expenses with its own Liquid financial offering. Navan has a list of impressive clients, including Glassdoor, Zoom, and Shopify.
Moving forwards, the company is focused on gaining more reach, especially in Europe. As part of the expanded go-to-market strategy, it rebranded to Navan with a more people-centric design approach. It also combined its travel, corporate card and expense services into a single app which is now available to individual users rather than only through a corporate account. This will be key in bridging the gap between business travel and consumer apps.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
45% female employees
-40% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Oct 2022
$154m
SERIES G
Oct 2021
$275m
SERIES F
Total funding: $1.1bn
Company benefits
- Flexible Vacation
- Healthcare
- Commuter benefits
- Parental leave
- Health and Wellness
- Fuel for Connection
- Pet Friendly
- 401k (retirement plan)
- IATAN (travel-related discounts)
- Connectivity Allowance
- Learning & Development
Company values
- Focus on Users
- Tech-Forward Solutions
- Lead with Context
- Communicate with Candor
- Raise the Bar
- One Diverse Team
Company HQ
Ventura, Palo Alto, CA
Articles
Leadership
Ariel Cohen
(CEO)Research and Development director in Mercury Interactive (and HP after acquisition of Mercury). Product Management director, then VP, at Jive Software. Previously co-founded StreamOnce with Ilan.
Ilan Twig
(CTO)Studied Computer Science, managing positions in software engineering including VP and EVP of engineering at Jive Software. Previously co-founded StreamOnce with Ariel.
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