The Algorithm Engineer will develop data quality rules, monitor data anomalies, optimize pricing thresholds, and support algorithm changes.
Goals:
1. Ensure input data quality.
2. Design and build a data early warning system.
3. Monitor and optimize pricing related thresholds.
4. Support pricing algorithm changes.
What you will do:
1. Develop data quality rules to monitor data inputs for anomalous data.
2. Develop rules to monitor data drift and optimize thresholds.
3. Set up alerts for the data quality rules.
4. In-depth data investigation for any incidents.
5. Propose and develop pricing algorithm changes as needed.
What we are looking for:
1. Bachelor or Masters in Computer Science Engineering or related fields.
2. 2 to 3+ years in development using Python.
3. Working proficiency with Python, SQL, and/or Java.
4. Experience in using statistical concepts to identify anomalies.
5. Experience with cache databases (E.g. Redis, MongoDB).Experience with job schedulers (E.g. Airflow).
6. Familiar with message queue systems (E.g. Kafka, Pub/Sub).Familiar with Kubernetes.
7. Proficiency in English.
Nice to have:
1. Experience in using Cloud service (GCP, AWS, or Azure).
2. Experience with Quality Assurance is desirable.
3. Experience with Recommendation Systems is a plus.
4. Knowledge of the cryptocurrency ecosystem and on-chain data is a plus.
Top Skills
Airflow
AWS
Azure
GCP
Java
Kafka
Kubernetes
MongoDB
Pub/Sub
Python
Redis
SQL
Similar Jobs
Blockchain • Software • Cryptocurrency
The role involves post-training of LLMs, model alignment, server operation for checkpoint routing, and building evaluation pipelines.
Top Skills:
DeepspeedFsdpLoraPythonPyTorchQloraTensorFlowTritonVllm
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
As a Software Engineer, you'll design and implement scalable systems, support machine learning models for bidding decisions, and work with a team to innovate solutions.
Top Skills:
AWSBig DataGoMachine LearningPysparkPythonPyTorchWeights & Biases
Artificial Intelligence • Enterprise Web • Information Technology • Productivity • Sales • Software • Database
As a Senior Backend Engineer, you will develop scalable backend endpoints, mentor team members, and lead the software development lifecycle while collaborating with cross-functional teams.
Top Skills:
AnsibleDockerElasticsearchKubernetesMongoDBNode.jsReactRedisReduxRubyRuby On RailsTerraform
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
