Senior/Staff/Principal Machine Learning Engineer
Remote - United States
Sift
Our AI-powered platform empowers your business to expand fearlessly, mitigating concerns related to fraud without compromising the essential element of trust.About the team
Our team researches and develops machine learning models and systems that help make the Internet a safer place. We serve customers across multiple verticals such as online commerce, delivery service, finance, travel sites, etc., and we have customers in both developed and developing countries. Our technology helps protect Internet users from ever-evolving online scams, payment fraud, abusive content, account takeover, etc. We are a forward-thinking team constantly challenging ourselves and the status quo to push the boundary of machine learning and data science across multiple product offerings at Sift and collaborate with product engineering teams to deliver tangible customer value.
We take pride in our work, not ourselves. Open and constructive feedback is valued and often required to ensure rigor in our work. We love learning, hacking, and sharing our findings. We believe that machine learning is THE way to empower internet-scale businesses to thrive.
What you'll do
- Design and implement end-to-end machine learning products
- Build highly scalable Big Data pipelines using Apache Flink, Beam, and Spark
- Prototype and explore model serving frameworks, workflow orchestration engines, and other machine learning platforms
- Collaborate with other engineers and data scientists and contribute to internal tooling, experimentation, prototyping, and productization effort
- Lead system design discussions and drive engineering excellence
- Mentor junior engineers and data scientists on system design and coding
What would make you a strong fit:
- You have a growth mindset and a strong interest to work with real-world machine learning applications and technologies
- You are curious about customer and business needs
- You are data-driven, love to challenge your assumptions and try new things
- You are passionate about building very large scale distributed systems
- 5+ years of experience working with large datasets (think TBs of data, 10s of thousands of features) in both batch and streaming environments
- Expert programmer in Java or other object-oriented programming languages
- Deep experience with python, docker container, k8s, terraform, etc.
- Excellent communication skills and collaborative work attitude
- B.S degree in Computer Science or related field
A little about us:
Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Airbnb, Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.
The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. Sift allows businesses to scale, win, and thrive in the digital era by drawing on insights from our global network of customers.
Benefits and perks:
- Competitive total compensation package
- 401k plan
- Medical, dental and vision coverage
- Wellness reimbursement
- Education reimbursement
- Flexible time off
Sift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in thought, experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day, so we can Win as One Team.
This document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data pipelines Distributed Systems Docker Engineering Finance Flink Machine Learning ML models OOP Pipelines Privacy Prototyping Python Spark Streaming Terraform
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Flex vacation Health care Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Business Intelligence Developer jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open PhD-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open Airflow-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs