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HomeCompaniesNexxenSenior Machine Learning Engineer

Senior Machine Learning Engineer

Nexxen · New York, NY · Hybrid · Deleted · Ashby

Job facts

FieldValue
CompanyNexxen
TitleSenior Machine Learning Engineer
Normalized title-
Department / teamEngineering / Engineering
LocationNew York, NY, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusdeleted
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-06-17 / 2026-06-15

Related slices

PageWhat it containsOpen
Company jobsActive postings from Nexxen.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyNexxen
Sourceb0031721-52b9-41b5-8f25-4a5f8c79199b
ATS providerAshby

Description

Who is Nexxen? Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-side platform (“SSP”), with the Nexxen Data Platform at its core. Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. Important Notice from Nexxen: Your Safety Matters At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at [email protected] to verify its legitimacy. Your trust is important to us. Stay safe and informed. Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity The Sr. Machine Learning Engineer will join our Applied Data Science group, part of Nexxen DSP Software Development. In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructure for real-time performance optimization and machine learning solutions. The right person for this role should be experienced in crafting implementations for either machine learning technologies or data-driven algorithms. If you are proactive and innovative in these domains, this is a phenomenal role for you! We are a hybrid company where our team works 3 days a week in the NY office and remotely the rest of the week. What You’ll Do: Develop critical high-performance, large-scale services for Nexxen DSP Programmatic integrations and Platform product Drive ground-breaking innovation and apply state-of-the-art AI and machine learning in a variety of areas to enhance a real-time ad scoring and ranking system for bid optimization Invent and iterate novel solutions for complex ad challenges with fast turnaround. Lead the ad algorithm architecture design and iteration of the advertising system. Develop scalable and efficient approaches for large-scale data analysis and model development. Build and experiment with new algorithms and models end-to-end, from production rollout to continuous optimization. Collaborate with data scientists, engineering teams, product managers, and program managers in an open and creative environment. Help troubleshoot production and customer issues. Follow agile methodologies and work in a fast-paced environment where one can quickly see the results of the work being performed. What You’ll Bring: Bachelor's in Computer Science or a related field of study 5+ years of engineering experience working at leading technology companies. A history of successfully taking ownership of features/functionality and delivering end-to-end project Strong knowledge of and experience implementing AI/ML technologies, mathematics, and statistics. Expertise in Java, Python, and Scala. In-depth knowledge of data structures and algorithms. Practical experience working with large NoSQL databases like Aerospike and Cassandra. Interest in ad campaign optimization and iterative model updates. Experience building applications on top of large-scale ML/DL frameworks (TensorFlow, PyTorch). Expertise working with data processing tech stack (Spark, MapReduce). Expertise in building data-driven services and applications (ETL). Experienced with interdisciplinary collaborations with Data Science, Product, and Business stakeholders. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. Strong communication skills with an ability to communicate complex concepts to non-technical stakeholders. Desired Qualifications: MS or PhD in computer science or equivalent experience. Experience within AdTech industry. Experience in LLM and GenAI. In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role in New York is $180,000 - $220,000 at the time of posting. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, discretionary time off, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-KN1 #LI-HYBRID     For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice

Full job record

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Org ID903c5b9f-b393-45ed-98d0-da14c4b90b56
Source IDb0031721-52b9-41b5-8f25-4a5f8c79199b
Board IDb0031721-52b9-41b5-8f25-4a5f8c79199b
Providerashby
Provider Job Keyd3002843-c8a8-48bf-94bd-8e21400cf602
TitleSenior Machine Learning Engineer
Normalized Title
Statusdeleted
Activeno
Location TextNew York, NY
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/nexxen/d3002843-c8a8-48bf-94bd-8e21400cf602
Apply URLhttps://jobs.ashbyhq.com/nexxen/d3002843-c8a8-48bf-94bd-8e21400cf602/application
First Seen At2026-05-29 06:36:46Z
Last Seen At2026-06-15 10:14:36Z
Last Checked At2026-06-17 10:21:48Z
Last Changed At2026-06-17 10:21:48Z
Inactive At2026-06-17 10:21:48Z
Source Posted At
Source Updated At
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Parsed Structured
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Extensions
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Native Structured
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