Large-scale data processing jobs

3608764-Manager

EXL · Posted Jul 22, 2024

Open

Gurugram, Haryana, India
Manager
3–6 years

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3608764-Manager

EXL · Posted Jul 22, 2024

Open

Gurugram, Haryana, India
Manager
3–6 years

Apply with Referso

Senior Software Engineer, Machine Learning, Discover Interest Modeling and Retrieval

Google · Posted Nov 4, 2026

Open

Mountain View, California, United States
On-site
Full-time · Senior
$174K–$252K per year
5+ years

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The role involves developing representation learning models for Google's Discover personalized interest feed, focusing on retrieval, pre-ranking stacks, and personalization signals at a massive scale.

Compensation

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Write and test product or system development code.
Develop representation learning models, including embedding or encoder models trained with contrastive, supervised, or self-supervised (e.g., masked-prediction) objectives, and set or sequence encoders (attention pooling, Transformers).
Execute clustering or metric learning at scale (e.g., hierarchical/agglomerative, density-based), and assess cluster quality.
Utilize Large Language Model (LLMs) in ML systems (e.g., LLM embeddings, autoraters for evaluation) and distill LLM judgments into classifiers.

Requirements

Bachelor’s degree or equivalent practical experience
Master's degree or PhD in Computer Science or related technical field
Nice to have: data structures
Nice to have: algorithms
Nice to have: technical leadership

Skills

Machine Learning models recommendation systems

Sr. Software Engineer - Investor Solutions

Addepar · Posted Nov 3, 2026

Open

Remote, United States
Remote
Full-time · Senior
$134K–$209K per year
5+ years

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Senior Software Engineer to design, build, and optimize next-generation Research Platform for investment professionals.

Compensation

$134,000—$209,000 USD

Responsibilities

Work across the stack, including Python, Databricks, Java, and web technologies
Take projects through the full software lifecycle: design, architecture, prototyping, development, release, iteration, and monitoring
Build new systems and improve existing ones, from small fixes to large projects
Partner with researchers and product managers to shape the platform’s direction
Share knowledge through design reviews, code reviews, and mentoring

Skills

Python Java Databricks Spark web application development large-scale data processing production systems

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Senior Data Analyst

Office of Communications · Posted Nov 3, 2026

Open

Manchester, England, United Kingdom
Full-time · Senior

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Lead analytical evidence generation for Ofcom’s regulatory and policy work, managing large-scale behavioural datasets and delivering insights to support decision-making.

Responsibilities

Establish and maintain robust, repeatable processes for ingestion, cleaning, and analysis of large datasets
Provide project management and leadership for research and analytical projects
Collaborate with colleagues across Ofcom to set and manage expectations
Support the strategic development of Ofcom’s access to datasets and partnerships
Engage with project teams to capture analytical requirements

Requirements

Degree qualified in a quantitative discipline (e.g. Statistics, Mathematics, Data Science, Psychology, Geography, Economics)

Skills

Databricks Python PySpark Large-scale data processing Data cleaning and preparation Statistical analysis

Senior Engineer - ML & AI Systems

Xero · Posted Nov 3, 2026

Open

Sydney, New South Wales, Australia
Hybrid
Full-time · Senior

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Design, build and own the production systems behind Xero’s AI features, including services, pipelines, and infrastructure for LLM-driven and agentic experiences.

Responsibilities

Design, build and own the production systems behind Xero’s AI features
Build and operate systems rather than train or tune models
Make architecture decisions shaping scale, cost, reliability, and shipping speed
Lift engineering capability across AI Products by setting standards and mentoring engineers
Partner across Xero to make data usable and systems dependable

Requirements

Nice to have: operationalizing ML or LLM workloads
Nice to have: inference serving
Nice to have: evaluation pipelines
Nice to have: MLflow
Nice to have: PyTorch

Skills

designing shipping and operating production-grade backend systems at scale building and operating production systems for LLM or agentic workloads orchestration tool use evaluation

Large-scale data processing jobs

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