Search Senior Machine Learning Engineer Job at Perplexity (Belgrade, London, Berlin)

Senior Machine Learning Engineer, Search Assistant

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United States , San Jose

Salary:

361300.00 - 510000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

8+ years of industry experience (or PhD with 5+ years) applying ML at scale in search, recommendation, ads, personalization, or related domains
Strong expertise in ranking systems, recommendation systems, retrieval, personalization, and multi-objective optimization
Experience building large-scale ML systems leveraging deep learning, sequence models, LLMs, reinforcement learning, or bandit frameworks
Strong product intuition and experience optimizing user engagement, retention, and monetization simultaneously
Proficiency in Python, Java, or Scala
Experience with distributed systems and ML infrastructure such as Spark, Airflow, streaming systems, feature stores, and cloud platforms
Strong technical leadership, system design, communication, and problem-solving skills
MS or PhD in Computer Science, Statistics, or a related field

Job Responsibility

Lead the technical vision and roadmap for ranking, personalization, and recommendation systems powering Roku’s entertainment assistant
Develop and deploy state-of-the-art ML models using deep learning, transformers, LLMs, bandits, reinforcement learning, and causal inference techniques
Build multi-objective optimization systems balancing engagement, retention, relevance, and monetization goals
Drive innovation in conversational discovery, contextual recommendations, and personalized content experiences across the platform
Design, run, and analyze online A/B experiments tied to key product and business KPIs
Architect scalable ML systems, feature platforms, and data pipelines supporting rapid experimentation and long-term growth
Mentor engineers and provide technical leadership across cross-functional initiatives involving engineering, product, UX, and analytics teams

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

Senior Machine Learning Engineer

Reddit is a community of communities. It’s built on shared interests, passion, a...

Location

United States , Remote

Salary:

216700.00 - 303400.00 USD / Year

Expiration Date

Until further notice

Requirements

3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning

Job Responsibility

Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
Improve system performance across latency, throughput, and model quality metrics
Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
Contribute to technical strategy, architecture, and long-term ML roadmap

What we offer

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Medical, dental, and vision insurance

Fulltime

Senior Machine Learning Engineer, Shopping AI

As the engine behind Zillow Group's mission to build a seamless digital real est...

Location

United States

Salary:

163200.00 - 274300.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

3-5 years of experience in developing applications in search, personalized ranking, or recommender systems
Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)
Strong programming skills in a high-level language such as Python or Java
Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)
Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks
Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring

Job Responsibility

Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications
Re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces
Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring
Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience
Develop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time
Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap
Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling
Act as a key technical voice, mentoring other engineers and helping to shape the long-term vision for artificial intelligence in the home shopping experience

What we offer

Equity awards

Fulltime

Senior Machine Learning Engineer

Reddit is a community of communities. It’s built on shared interests, passion, a...

Location

Canada , Ontario

Salary:

Not provided

Expiration Date

Until further notice

Requirements

3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning

Job Responsibility

Design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems
Intelligent advertising systems including ranking, bidding, measurement, and optimization
Content, Advertisers, and User understanding
Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
Applied AI and LLM-driven experiences
Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle
Build scalable data and model pipelines
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams

What we offer

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

Fulltime

Senior Machine Learning Engineer

As Microsoft continues to push the boundaries of AI, we are on the lookout for p...

Location

United States , Mountain View

Salary:

119800.00 - 258000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Job Responsibility

Build and Deploy Models: Design, train, evaluate, and deploy machine learning models for natural language understanding tasks including intent detection, topic classification, conversation summarization, and user personas
Design ML Pipelines: Architect scalable, production-grade training and inference pipelines using Spark, Databricks, Azure ML and modern ML frameworks
NLP and Representation Learning: Develop and fine-tune transformer-based models and text encoders
build and maintain embedding pipelines and vector databases for semantic search and retrieval
Experimentation and Evaluation: Drive rigorous offline and online experimentation to measure model quality, iterate on architectures, and improve key product metrics
Collaborate Across Teams: Partner with data engineers, data scientists, and product teams to translate research insights into shipped features and align model outputs with product goals
Show Ownership Mindset: Proactively monitor model performance in production, diagnose regressions, and address scalability and reliability challenges before they become bottlenecks
Contribute Strategically: Identify opportunities to improve model architectures, training methodologies, and evaluation frameworks
mentor others on ML best practices

What we offer

Certain roles may be eligible for benefits and other compensation

Fulltime

Senior Machine Learning Engineer, AI Personalization

Block builds simple, powerful tools that make progress towards an economy that's...

Location

United States , Bay Area, CA

Salary:

194500.00 - 343100.00 USD / Year

Block

Expiration Date

Until further notice

Requirements

10+ years building and operating quality software
Domain expertise in recommender systems, ranking systems, or similar with 5+ years of experience
Led the development of complex models trained on large datasets powering customer facing features
Strong software engineering skills
Strong communication skills and customer empathy
Experience with PyTorch, PySpark, Databricks and AWS is a plus

Job Responsibility

Lead strategic initiatives in AI Personalization, driving the vision, architecture, and execution
Develop and deploy new AI/ML models that power search & recommendations in traditional UX as well as new agentic interfaces
Deploy to production at scale to personalize every user's experience
Be a technical leader and establish quality practices that stick, make broader design decisions and set an example for others to follow
Collaborate with a cross functional team of designers, business partners, and software engineers to build new technologies and features
Design experiments, test them on production users, analyze and repeat

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Search Machine Learning Engineer Intern

Perplexity is looking for a Search Machine Learning Engineer Intern to help buil...

Location

Serbia , Belgrade

Salary:

Not provided

Perplexity

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems
Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects
Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment

Job Responsibility

Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers
Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models
Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks
Support deployment and monitoring of search and ranking models in a scalable and performant way
Help build and iterate on RAG pipelines for grounding and answer generation
Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML

Fulltime

Senior Machine Learning Engineer

We’re looking for a Senior Machine Learning Engineer to lead the design, archite...

Location

United States; Canada; Mexico , San Francisco; Atlanta; Austin; Boston; Chicago; Dallas; Denver; Houston; Jacksonville; Los Angeles; Miami; New York City; Phoenix; Portland; Sacramento; Salt Lake City; San Diego; Seattle; Washington, D.C.; Ottawa; Toronto; Vancouver; Mexico City

Salary:

129500.00 - 230000.00 USD / Year

Scribd

Expiration Date

Until further notice

Requirements

6+ years of experience as a professional ML engineer or software engineer, with a proven track record of delivering production ML systems at scale
Proficiency in at least one key programming language (preferably Python or Golang
Scala or Ruby also considered)
Expertise in designing and architecting large-scale ML pipelines and distributed systems
Deep experience with distributed data processing frameworks (Spark, Databricks, or similar)
Strong cloud expertise (preferably GCP
also AWS and/or Azure) and experience with deployment platforms (ECS, EKS, Lambda)
Experience with embedding-based retrieval, large language models, advanced information retrieval and ranking systems
Experience working with Search systems like query parsing, query intent classification, bm25, reranking, etc.
Proven ability to optimize system performance and make informed trade-offs in ML model and system design

Job Responsibility

Lead complex, cross-team projects from conception to production deployment
Drive technical direction for end-to-end, production-grade ML systems for advanced search capabilities and document understanding
Develop and operate services that power high-traffic pipelines for content discovery and knowledge synthesis
Run large-scale A/B and multivariate experiments to validate models and feature improvements
Mentor other engineers and establish best practices for building scalable, reliable ML systems
Train, evaluate, and deploy ML models (including generative models) to production using Scribd’s internal platform and industry-standard frameworks
Collaborate with engineering and analytics teams to build large-scale ingestion, transformation, and validation pipelines on Databricks
Optimize systems for performance, scalability, and reliability across massive datasets and high-throughput services
Design and run A/B and N-way experiments to measure the impact of model and feature changes
Partner with product managers, data scientists, and analysts to identify opportunities, define requirements, and deliver solutions that solve real user problems

What we offer

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products

Fulltime

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