Zendesk · 14 hours ago
Senior Machine Learning Engineer
Mississippi, United States
Full-time
Hybrid
Mid, Senior Level
$196K/yr - $294K/yr
3+ years expZendesk is committed to improving Customer Experience and is seeking a Senior Machine Learning Engineer to join their Enterprise Machine Learning team. This role involves driving the development and deployment of advanced ML solutions, collaborating with stakeholders, and ensuring that business value is integrated into technical decisions.
Customer ServiceData ManagementEnterprise SoftwareSoftwareTechnical Support
Responsibilities
Drive the design, development, and deployment of advanced ML and AI solutions, with an emphasis on large language models (LLMs), deep learning architectures, and sophisticated statistical modeling
Build scalable, robust data science systems—from data ingestion, data curation, data modeling to algorithm development, model deployment and monitoring—meeting enterprise-grade performance, reliability, and compliance standards
Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact
Effectively articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations for maximum results
Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility
Oversee and enhance the integrity, security, and compliance of all data science workflows and contracts
Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions (AWS, Kubernetes, Snowflake, etc.)
Fostering technical excellence and ensuring alignment with business objectives
Qualification
Required
3+ years' experience in Data Science, Machine Learning, or a related field
BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred)
Deep expertise in statistical modeling, machine learning, and deep learning (including practical experience with LLMs and transformers)
Strong programming skills (Python preferred; Java, Scala, or similar also valued)
Proven ability to build and optimize scalable data science solutions—end-to-end—from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD, MLOps best practices)
Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses (Snowflake)
Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact
Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives
Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike
Experience working cross-functionally with engineers, analysts, and product leaders
Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment
Benefits
Bonus
Benefits
Related incentives
Company
Zendesk
Zendesk develops a customizable customer service platform for organizations.
5001-10000 employees
H1B Sponsorship
Zendesk 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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (50)
2024 (69)
2023 (37)
2022 (92)
2021 (93)
2020 (44)
Funding
Current Stage
Public CompanyTotal Funding
$85.5MKey Investors
RedpointMatrixBenchmark
2022-11-22Private Equity
2022-06-24Acquired
2019-09-18Grant
Leadership Team
Mikkel Asger Svane
CEO and Co-Founder
Tom Eggemeier
CEO
Recent News
2026-02-07
2026-02-03
Index Ventures
2026-01-06
Company data provided by crunchbase