As an Algorithm Engineer, you'll ensure data quality, design monitoring systems, optimize pricing algorithms, and investigate data incidents.
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 LLM Algorithm Engineer will advance post-training of large language models, manage context protocols, optimize distributed training, and build evaluation pipelines.
Top Skills:
DeepspeedFsdpLoraPythonPyTorchQloraTensorFlowTritonVllm
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain high-quality code, collaborate with product owners, mentor colleagues, and integrate AI into software solutions.
Top Skills:
Ai Productivity ToolsAngularJavaReactVue
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Staff Software Engineer, you'll architect distributed systems, mentor, manage projects, and develop high-quality infrastructure components for real-time crypto applications.
Top Skills:
DockerDynamoDBGoMongoDBPostgresRuby on RailsRuby
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
