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Added 3 days ago
Principal Analyst - North American Power and Renewables
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Motor Drive & Power Electronics Engineer, Robotics
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Lead delivery from design through deployment, contribute to architecture decisions and make others better through code reviews and mentoring
Added 3 days ago
Staff Engineer, Machine Learning & Data Infrastructure
OKX
San Jose, CA
…individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also…
Added 3 days ago
Staff Software Engineer - Builder Platform
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Remote, United States
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Senior Staff Software Engineer - Builder Platform
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Remote, United States
…internal platform focused on AI agents, automated workflows, and developer productivity. You will lead strategic initiatives spanning AI infrastructure, platform engineering, developer…
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Remote, United States
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Added 3 days ago
Principal Offensive Security Engineer
Alteryx, Inc.
Remote, United States
…leader within Alteryx’s Offensive Security program. You will lead risk-prioritized penetration testing, red-team engagements, and adversary simulations across product and enterprise…
Added 3 days ago
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Senior Infrastructure and DevOps Systems Engineer
Intel
Phoenix, AZ
- $100,550 to $194,270 USD / year
Develop infrastructure automation and CI/CD solutions using Ansible, Python, Bash, Jenkins, Git, and related DevOps technologies.
Added 3 days ago
Senior Data Engineer
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Phoenix, AZ
Monitor work against production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly
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Senior/Lead AI Applications Developer- Hybrid.in person interviews
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The Applications Developer Senior/Lead is responsible for identifying and implementing Artificial Intelligence (AI) solutions to decrease administrative workload and improve quality. Acting…
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JD Edwards Data & ERP Consultant
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Analytics Developer
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San Diego, CA, CA
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Senior Automation Engineering Analyst
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Experience with Python, PowerShell, or C# for automation, data processing, or backend services.
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Senior Full Stack Developer
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- $140,000 to $250,000 USD / year
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Enterprise Solution Architect
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- $210,000 to $250,000 USD / year
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Added 3 days ago
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Enterprise Risk Management Data Analytics Lead
Jobgether
Remote, United States
- $156,500 to $181,000 USD / year
…is looking for an Enterprise Risk Management Data Analytics Lead based in the United…
Added 3 days ago
Network Site Reliability Engineer
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CA
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Added 3 days ago
Senior Product Manager, Product Systems
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OKX

Staff Engineer, Machine Learning & Data Infrastructure

San Jose, CA, United States

The salary range for this position is $214,666 to 321,999

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Job details

Pay: The salary range for this position is $214,666 to 321,999
Posting language: English
Posted: Nov 4, 2026

Original job description

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

About the Opportunity

We are looking for an experienced engineer to lead the architecture and hands-on development of the ML and data infrastructure behind our risk and fraud prevention systems. You will help teams move models from experimentation into reliable production services, improve model execution performance, and build scalable data foundations for training, evaluation, and real-time decisions.

What You’ll Be Doing

• Improve model inference latency, throughput, resource utilization, and cost. Profile the full prediction path - from feature retrieval and preprocessing to model execution - and deliver measurable improvements without unacceptable model-quality regressions.

• Build reusable infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions.

• Design and optimize offline data pipelines on Databricks, Apache Spark, and warehouse/lakehouse technologies, addressing data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost.

• Connect offline and online feature pipelines, ensuring point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills.

• Evolve reliable feature services and data integrations supporting risk models and decision systems.

• Set technical direction, mentor engineers, and lead delivery across ML, data engineering, cloud infrastructure, security, and product teams.

What We Look For In You

• A record of building and operating large-scale distributed systems, ML infrastructure, or data platforms, with technical ownership across teams.

• Hands-on experience optimizing production model performance, supported by measurable improvements in latency, throughput, utilization, or cost.

• Deep understanding of Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management.

• Experience with the model lifecycle, including training/serving integration, validation, deployment, observability, and rollback.

• Strong Python, SQL, and at least one backend or systems language such as Java, Scala, Go, or C++.

• Ability to turn ambiguous requirements into clear architecture and deliver maintainable systems through hands-on engineering and technical leadership.

Nice to Haves

• SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms.

• Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton.

• Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores.

• Fraud detection or financial risk systems.

• Fluency in Mandarin

Perks & Benefits

• Competitive total compensation package

• L&D programs for employees' growth and development

• Various team building programs and company events

• Wellness and meal allowances

• Comprehensive healthcare schemes for employees and dependants

• More that we love to tell you along the process!

OKX Statement:

OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The salary range for this position is $214,666 to 321,999

The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.

Notice:

All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

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