Software Engineer, Machine Learning Platform
Remote
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:
At Sift we enhance trust and safety in the digital world with our AI driven technology platform. Our products deliver payment protection, ensure content integrity, and protect account defense for businesses around the world. The Machine Learning Platform team exists to enable product teams to construct and operate their production machine learning services as effectively as possible.
The team does this by providing a platform which handles the common needs of the product teams including production system integration, model training, model availability, health and monitoring infrastructure for model serving, and a streamlined model release process.
What you’ll do:
As a Senior Engineer on the Machine Learning Platform team you will build tools and processes to manage, improve, and rapidly scale our platform. Specifically, you will:
- Design and build tools and processes to make the release of new machine learning models fast, easy, safe, and minimally disruptive.
- Participate in architecture discussions to meet the requirement to serve hundreds of machine learning models at thousands of queries per second.
- Ensure that our systems can continue to scale rapidly while addressing rapidly evolving product team needs.
- Implement scalable, low-latency, high-throughput, fault-tolerant, extensible, and easily maintainable data processing pipelines for both batch and real-time systems.
- Motivate, listen and empathize, and help engineers and data scientists to excel.
What would make you a strong fit:
- 3+ years of professional software development experience or a degree in CS (or a related field) with 2+ years of experience.
- Experience building highly available low-latency systems using Java, Scala, C++ or other object-oriented languages.
- Experience working with large datasets and best in class data processing technologies for both stream and batch processing, such as Apache Spark, Apache Beam, MapReduce.
- Strong debugging, testing, tuning, and problem-solving skills.
- Strong communication & collaboration skills, and a belief that team output is more important than individual output.
- Self-starter, with a quick learning curve.
Bonus points:
- Familiarity with practical challenges in ML systems such as feature extraction and definition, data validation, training, monitoring, and management of features and models.
- Practical knowledge of how to build end-to-end ML workflows.
- Experience with building an ML feature store for batch and real-time aggregation/serving.
- Knowledge of GCP or AWS cloud stack for web services and big data processing.
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. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.
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 our 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.
This document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy
Tags: AWS Big Data Excel GCP Machine Learning ML models Model training Pipelines Scala Spark Testing
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Flex vacation Health care Transparency 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 MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs