About Us
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
Our Data Science and ML Eng Teams
- We are focused on bringing value to Riskified through the development of models and analytical solutions across domains. We use a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes: classic ML and deep learning, supervised and unsupervised, NLP, anomaly detection, graph theory, and more.
- We use the most cutting-edge solutions - from event driven (Kafka), to big data solutions (Spark, Datalake, Databricks), Cloud operations (Docker & Kubernetes), Workflow orchestration (Airflow), and Machine Learning Platforms (Databricks & Kubeflow), coding mostly in Python, Scala, and R.
- We’re a friendly, fun and diverse team. We’re passionate about making data-driven decisions, and being open-minded and creative, while communicating openly and honestly. We thrive in a continuous learning culture to promote growth and remain at the forefront of technological innovation.
About the Role
In this role, you'll merge production-grade software engineering, data engineering, data science expertise and MLOps proficiency, leading the development and implementation of advanced analytical solutions for real-world applications. Your focus will be on constructing the infrastructure for the training of the company’s machine learning models - from both computational aspects and analytical validity. Through collaboration with cross-functional teams, you'll integrate these ML capabilities seamlessly into our product ecosystem, driving efficient, data-driven outcomes.
What You'll Be Doing
- Lead and develop a high-performing team, fostering individual growth and collaboration.
- Develop advanced analytical solutions while bridging the gap between data science and the engineering world: transforming complex data science concepts into practical, scalable solutions.
- Build scalable ML infrastructure and pipelines for efficient data processing and model deployment. Evaluate architecture solutions based on cost, business needs, and emerging technologies.
- Manage and mentor ML engineers, ensuring their professional development and effectiveness.
- Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.
- Stay abreast of industry methodologies, explore new technologies, and champion their adoption within the team.
- Advocate for improvements, scaling, and extension of ML tooling and infrastructure.
- Foster a culture of innovation, collaboration, and excellence within the ML engineering team.
Qualifications
- 3+ years leading an ML team of at least 4 people in a fast-paced production environment
- Relevant work or academic experience involved in the application of Machine Learning to solve business problems
- University Degree in a quantitative field, MSc - advantage
- Experience designing and executing end-to-end solutions for deploying different ML models
- Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models
- Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks
- Good understanding of machine learning algorithms, statistical models, and data structures
- Experience collaborating cross-functionally in the development of machine learning products (e.g., Developers, UX specialists, Product Managers, etc.)
- Excellent English communication skills, both written and verbal
- Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
If you are a passionate ML leader with a strong background in the blend of machine learning and engineering, we would love to hear from you. Join our team and lead a culture of data-driven decision-making at Riskified.
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.
Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. We have recently moved to our new space in Tel Aviv - check it out here!
Some of our Tel Aviv Benefits & Perks:
- Equity for all employees, Keren Hishtalmut, pension
- Private medical insurance, extra time off for parents and caregivers
- Commuter and parking benefits
- Team events, fully-stocked kitchen,lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
- Wide-ranging opportunities to volunteer and make an impact
- Commitment to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns
- Awesome Riskified gifts and swag!
In the News
Geektime: Riskified Goes Public
Walla!: Happy Hour at the Riskified Offices
Geektime Insider: A look at Riskified Tel Aviv
Globes: Riskified to contribute the highest amount up to date to Tmura
Globes: Riskified is among Israel’s fastest growing companies
TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Other Jobs from Riskified
Backend Developer - Core Team
Data Analyst
Engineering Team Lead (Machine Learning Products)
Data Analyst
Fullstack Developer
Data Platform Engineer
Similar Jobs
Senior AI/ML Engineer
Engineering Team Lead (Machine Learning Products)
Engineering Team Lead (Machine Learning Platform)
Machine Learning Engineer
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 389 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
- The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
- Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
- We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
- We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
- From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
- We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
- If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
- EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.
What Fellow Engineers Say