Time since we first saw it
Day 66
Similar jobs usually come down between day 7 and day 72.
From 4,688 similar postings that came down. Coming down is not always a hire.
ML Software Engineer
Tel Aviv, Israel
Live, first seen by us 66 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingTurn research models and code into scalable, low-latency production microservices
Design automated workflows for auto-training, benchmarking, testing and model deployment
Design and optimize ETL pipelines connecting Snowflake to training environments
Optimize API response times, database concurrency and model performance in production
Guide ML Scientists on software engineering best practices
From the employer’s posting
transforming research output (code, models, ideas) into robust, scalable, low-latency microservices in production
Design, build, and maintain automated workflows for ML models, including auto-trains, benchmarking, testing, performance gating, and production deployment.
Design and optimize data pipelines and ETL processes, connecting our Snowflake data warehouse to our training environments.
Tackle complex backend challenges: optimizing API response times, managing database connectivity and concurrency at scale
guiding them on software engineering best practices without slowing down their research
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 3, 202666 days ago
- Recorded sightings
- 184
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Fortinet is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C#
- Java
- Python
- SQL
- Docker
- Kubernetes
- MLflow
- Snowflake
Where the posting names them
- 6+ years of backend software engineering experience designing, building, and maintaining large-scale, high-throughput production systems - Strong coding skills, Ability to write clean, maintainable code, OOP familiarity, package design, microservices etc. Note: Work is in python, but strong engineers with deep Java/C# backgrounds who have some Python experience and are willing to transition fully are highly encouraged to apply. - Solid Database design & SQL skills, Deep understanding of SQL, experience working with relational and/or bigdata (columnar) databases, ORMs, and efficient query design.
- Strong coding skills, Ability to write clean, maintainable code, OOP familiarity, package design, microservices etc. Note: Work is in python, but strong engineers with deep Java/C# backgrounds who have some Python experience and are willing to transition fully are highly encouraged to apply. - Solid Database design & SQL skills, Deep understanding of SQL, experience working with relational and/or bigdata (columnar) databases, ORMs, and efficient query design. - API & Performant Design Proven experience - building robust systems, you understand how to handle concurrency, ETL tradeoffs, building fault-tolerant best effort data flows
- Familiarity with data warehouses (e.g., Snowflake) and pipeline orchestration. - Familiarity with containerized environments (Docker/Kubernetes) and model serving frameworks (KServe). Why Join Us:
- Design and optimize data pipelines and ETL processes, connecting our Snowflake data warehouse to our training environments. - Work within our existing ML infrastructure (Kubeflow, MLflow, KServe) to ensure smooth model lifecycles and performance monitoring. - Collaborate closely with ML Scientists, guiding them on software engineering best practices without slowing down their research.
- Tackle complex backend challenges: optimizing API response times, managing database connectivity and concurrency at scale, balancing accuracy’s drive for complex questions with the business needs of fast responsiveness by making hard technical trade-offs between customer gains and business costs. - Design and optimize data pipelines and ETL processes, connecting our Snowflake data warehouse to our training environments. - Work within our existing ML infrastructure (Kubeflow, MLflow, KServe) to ensure smooth model lifecycles and performance monitoring.
- Previous experience in productionizing Machine Learning models or working closely with Data Science teams. - Familiarity with data warehouses (e.g., Snowflake) and pipeline orchestration. - Familiarity with containerized environments (Docker/Kubernetes) and model serving frameworks (KServe).
Your next step
Complete your application on edel.fa.us2.oraclecloud.com. The employer’s form will show what is required.
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Already applied? Track this application
About Fortinet
- People
- About 4,052 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as FTNT.
- H-1B visas
- 99 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and security. At Fortinet, our mission is to safeguard people, devices, and data everywhere.
We are looking for a strong Backend Software Engineer to bridge the gap between our Machine Learning research team and our enterprise production systems. You will act as the technical backbone for our ML Scientists – by advising, designing and implementing the production facing features. If you are a backend expert who wants to solve complex system architecture challenges and dive into the world of ML platforms & Agentic LLM pipelines, this is the role for you - An exciting role collaborating with ML science team, data/infra team and DevOps to drive real customer impact.
As a ML Engineer, you will:
Lead ML delivery: transforming research output (code, models, ideas) into robust, scalable, low-latency microservices in production
Help architect e2e solutions to real customer pains ranging from ingestion, integration, ETLs, DB design up to low-latency services
Design, build, and maintain automated workflows for ML models, including auto-trains, benchmarking, testing, performance gating, and production deployment.
Tackle complex backend challenges: optimizing API response times, managing database connectivity and concurrency at scale, balancing accuracy’s drive for complex questions with the business needs of fast responsiveness by making hard technical trade-offs between customer gains and business costs.
Design and optimize data pipelines and ETL processes, connecting our Snowflake data warehouse to our training environments.
Work within our existing ML infrastructure (Kubeflow, MLflow, KServe) to ensure smooth model lifecycles and performance monitoring.
Collaborate closely with ML Scientists, guiding them on software engineering best practices without slowing down their research.
Monitor and optimize production models for performance, cost efficiency, availability, and observability.
Must-Haves (The Core Requirements):
6+ years of backend software engineering experience designing, building, and maintaining large-scale, high-throughput production systems
Strong coding skills, Ability to write clean, maintainable code, OOP familiarity, package design, microservices etc.
Note: Work is in python, but strong engineers with deep Java/C# backgrounds who have some Python experience and are willing to transition fully are highly encouraged to apply.
Solid Database design & SQL skills, Deep understanding of SQL, experience working with relational and/or bigdata (columnar) databases, ORMs, and efficient query design.
API & Performant Design Proven experience - building robust systems, you understand how to handle concurrency, ETL tradeoffs, building fault-tolerant best effort data flows
Nice-to-Haves (Strong Advantages):
Previous experience in productionizing Machine Learning models or working closely with Data Science teams.
Familiarity with data warehouses (e.g., Snowflake) and pipeline orchestration.
Familiarity with containerized environments (Docker/Kubernetes) and model serving frameworks (KServe).
Why Join Us:
At Fortinet, we embrace diversity and inclusivity. We encourage applications from diverse backgrounds and identities. Explore our welcoming work environment designed for a rewarding career journey with an attractive Total Rewards package to support you with your overall health and financial well-being. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.
We will only notify shortlisted candidates.
Fortinet will not entertain any unsolicited resumes, please refrain from sending them to any Fortinet employees or Fortinet email aliases. Should any Agency submit any resumes to Fortinet, these resumes if considered, will be assumed to have been given by the Agency free of any related fees/charges.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Tel Aviv, Israel
Fortinet will not entertain any unsolicited resumes, please refrain from sending them to any Fortinet employees or Fortinet email aliases. Should any Agency submit any resumes to Fortinet, these resumes if considered, will be assumed to have been given by the Agency free of any related fees/charges. <#LI-Hybrid> - ).
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.