Senior Software Engineer, ML Developer Experience
Company: Karkidi
Location: San Francisco
Posted on: April 17, 2024
Job Description:
We believe that a blockchain-based global economy can improve
the lives of billions of people. But the same properties that make
cryptocurrencies a force for good - permissionless, programmable,
and instantaneous - can also make them susceptible to criminal and
fraudulent activity, which causes harm to our financial system at
unprecedented speed and scale.At TRM, we're on a mission to build
trust in digital assets, because the promise of crypto is too
valuable to be impeded by bad actors. We provide a blockchain
intelligence platform to law enforcement, financial institutions,
and crypto firms to assist in the detection and prevention of
cryptocurrency fraud and financial crime. Our vision is to build a
company that can sustainably deliver on our mission for decades to
come, enabling consumers to transact safely and securely on the
blockchain.The Data Platform team collaborates with an experienced
group of data scientists, engineers, and product managers to build
highly available and scalable data infrastructure for TRM's
products and services. As a Senior Software Engineer on the Data
Platform team, you will be responsible for executing
mission-critical systems and data services that analyze blockchain
transaction activity at petabyte scale, and ultimately work to
build a safer financial system for billions of people.The impact
you will have here:
- Streamline and automate the TRM machine learning lifecycle,
focusing on deploying, monitoring, and maintaining ML models to
ensure their efficient and reliable performance in production
environments.
- Collaborate and partner with Data Scientists and Machine
Learning teams to accelerate innovation by enabling rapid
deployment and iteration of machine learning models, thus fostering
a more agile and responsive environment for developing and refining
cutting-edge technologies.
- Reduce the costs associated with experimentation, training, and
testing of machine learning models by implementing efficient
methodologies and tools that streamline these processes and
optimize resource allocation.
- Play a key role in enhancing the freshness, correctness, and
completeness of the Feature Store, and reduce the time to add new
features, ensuring that machine learning models are powered by the
most accurate, up-to-date, and comprehensive data available.What
we're looking for:
- Bachelor's degree (or equivalent) in Computer Science or a
related field;
- A proven track record, with 5+ years of hands-on experience in
building ML infrastructure, guiding projects from initial ideation
through to successful production deployment.
- Exceptional programming skills in Python, as well as adeptness
in SQL or SparkSQL;
- Expertise in data processing technologies and streaming
workflows including Spark, Kafka, and Flink;
- Competence in deploying and monitoring infrastructure within
public cloud platforms, utilizing tools such as Docker, Terraform,
Kubernetes, and Datadog;
- Proven ability in loading, querying, and transforming extensive
datasetsAbout TRM's Engineering Levels:Engineer: Responsible for
helping to define project milestones and executing small decision
decisions independently with the appropriate tradeoffs between
simplicity, readability, and performance. Provides mentorship to
junior engineers, and enhances operational excellence through tech
debt reduction and knowledge sharing.Senior Engineer: Successfully
designs and documents system improvements and features for an
OKR/project from the ground up. Consistently delivers efficient and
reusable systems, optimizes team throughput with appropriate
tradeoffs, mentors team members, and enhances cross-team
collaboration through documentation and knowledge sharing.Staff
Engineer: Drives scoping and execution of one or more OKRs/projects
that impact multiple teams. Partners with stakeholders to set the
team vision and technical roadmaps for one or more products. Is a
role model and mentor to the entire engineering organization.
Ensures system health and quality with operational reviews, testing
strategies, and monitoring rigor.The following represents the
expected range of compensation for this role:
- The estimated base salary range for this role is $200,000 -
$230,000.
- Additionally, this role may be eligible to participate in TRM's
equity plan.
- Please note - we factor in the different costs for geographies
outside the United States.
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Keywords: Karkidi, Concord , Senior Software Engineer, ML Developer Experience, IT / Software / Systems , San Francisco, California
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