Meltwater · 1 day ago
Machine Learning Engineer
Redwood City, CA
Full-time
Hybrid
Entry, Mid Level
2+ years expMeltwater is a pioneer of media intelligence, providing businesses with insights to manage their brands effectively. The Machine Learning Engineer will improve the multimodal semantic layer of MIRA, the AI assistant, and develop innovative features for applied generative AI in the Consumer Intelligence industry.
AnalyticsArtificial Intelligence (AI)Data IntegrationPublic RelationsSaaSSocial MediaSocial Media ManagementSoftware
Responsibilities
Drive the development of industrial ML projects from ideation to deployment, contributing across early prototyping, research, evaluation, and progressively to production, scalability, and monitoring with support from the team
Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems
Design, run, and iterate on machine learning experiments to improve model quality and product impact
Develop features, online and offline evaluation metrics, and validation strategies for large-scale ML systems
Analyze model errors and failure modes to understand limitations, biases, and opportunities for improvement
Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation & prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems
Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems
You’ll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities
Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
Experience building industry-scale user-facing ML/AI/Agentic applications
Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)
Experience with Information Retrieval systems in a production environment (Elasticsearch, Quickwit, Vespa, …) is a plus
Qualification
Required
2+ years experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research
Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis
Ability to write clear, well-structured code, with motivation to grow software engineering skills and contribute to production ML systems
Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems
You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength
Advanced knowledge in at least one programming language (Python or other e.g. Rust, Scala, Java)
Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve
You are a team-player, self-learner and autonomous
MS, PhD, or equivalent practical experience in machine learning, data science, or a related technical field
Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
Experience building industry-scale user-facing ML/AI/Agentic applications
Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)
Experience with Information Retrieval systems in a production environment (Elasticsearch, Quickwit, Vespa, …) is a plus
Benefits
Enjoy flexible paid time off that allows you to have an enhanced work-life balance.
Excellent medical, dental, and vision options
401(k) matching, life insurance, commuter benefits, and parental leave plans
Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.
Energetic work environment with a hybrid work style, providing the balance you need.
Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
Company
Meltwater
Meltwater is a social listening platform that offers businesses insights into online reputation, industry trends, and customer behavior.
1001-5000 employees
H1B Sponsorship
Meltwater 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 (4)
2024 (10)
2023 (5)
2022 (9)
2021 (7)
2020 (4)
Funding
Current Stage
Late StageTotal Funding
$300MKey Investors
VerdaneVista Equity PartnersSilicon Valley Bank
2023-12-18Private Equity· $65M
2019-03-15Private Equity· $175M
2017-02-07Debt Financing· $60M
Leadership Team
John Box
CEO
Aditya Jami
Chief Technology Officer
Recent News
2025-12-19
Company data provided by crunchbase