Senior ML Engineer II @ AuditBoard | Jobright.ai
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AuditBoard · 2 days ago

Senior ML Engineer II

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Growth Opportunities

Insider Connection @AuditBoard

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Build, ship, and own product features end-to-end such as predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights.
Work with engineers, designers, and product managers to create high-performing product features.
Design and implement AI solutions using classical ML methods and advanced techniques like LLMs
Write well-designed, maintainable, and testable code
Write clear and well-defined design documentation
Troubleshoot, debug, and resolve software bugs
Be product-minded and think about the customer
Stay updated on AI/ML advancements and explore new techniques and tools.
Participate in an Agile software development life cycle
Work with Python, JavaScript, Node.JS, Docker, PostgreSQL, Kubernetes, etc

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonJavaScalable Code WritingClassical ML MethodsLLMsTensorFlowPyTorchHugging FaceKerasMXNetScikit-LearnSearch/Information RetrievalRanking SystemsMetrics EvaluationProblem-SolvingCommunicationCollaborationAnalytical ThinkingContinuous LearningNode.jsES6TypeScriptSaaS web applicationsDistributed systemsDockerKubernetesAWSAzure

Required

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
3-4 years of hands-on experience in developing and deploying machine learning models
Ability to write scalable production-quality code
Proficiency in classical machine learning methods and familiarity with newer techniques like LLMs
Excellent programming skills in Python, Java, or similar languages
Experience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, Keras, MXNet, or scikit-learn
Familiarity with search/information retrieval, and ranking systems
Strong communication skills and ability to work collaboratively
Analytically minded with a focus on metrics and evaluation
Motivation to work hard and always be learning

Preferred

Experience with Node.JS and modern ES6 or TypeScript
Experience working on SaaS web applications
Basic understanding of distributed systems
Bonus: Docker, Kubernetes experience, AWS/Azure cloud infrastructure

Benefits

Comprehensive employee health coverage
401K with match (US) or pension with match (UK)
Flexible Vacation (US exempt & CA) or 25 days (UK)
Time off for your birthday & volunteering
Employee resource groups
Opportunities for team and company-wide get togethers!

Company

AuditBoard

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AuditBoard develops a cloud-based audit automation platform that specializes in transforming economic governance within business sectors.

H1B Sponsorship

AuditBoard has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (1)
2021 (1)

Funding

Current Stage
Growth Stage
Total Funding
$43.61M
Key Investors
Battery Ventures
2024-05-23Acquired· by Hg ($3B)
2018-08-15Series B· $40M
2017-04-11Series A· $3.61M

Leadership Team

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Daniel Kim
Co-Founder, Co-Chair of the Board & Sr Advisor
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Jay Lee
Co-Founder, Co-Chair of the Board & Sr Advisor
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Company data provided by crunchbase
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