Senior Machine Learning Engineer, AI Personalization Job at Block (Bay Area, CA)

Senior Machine Learning Engineer (AI Tools)

We are looking for a Senior Machine Learning Engineer to join our Chat Group, wh...

Location

Poland

Salary:

Not provided

SmartRecruiters

Expiration Date

Until further notice

Requirements

BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience
5+ years of experience developing and deploying machine learning systems in production
Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation
Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face)
Advanced Python programming skills and solid software engineering fundamentals
Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment
Hands-on experience with agentic workflows or building autonomous AI systems is a major plus
Familiarity with chatbots, conversational AI, or multi-agent systems is strongly preferred
Experience with data quality management, evaluation metrics, or observability in ML systems is a plus
Strong analytical thinking, creativity, and an ownership mindset

Job Responsibility

Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems
Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment
Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design
Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows
Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems
Contribute to the evolution of our NLP and conversational intelligence stack, focusing on reliability, personalization, and user impact
Proactively identify opportunities to automate, improve, and innovate within our chat-based ecosystem

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 a Senior Machine Learning Engineer at Phia, you’ll build and scale production...

Location

United States , New York City

Salary:

205000.00 - 245000.00 USD / Year

Phia

Expiration Date

Until further notice

Requirements

5+ years of industry experience building and deploying machine learning systems in production
Strong proficiency in Python and experience with common ML frameworks and libraries (e.g., PyTorch, TensorFlow, XGBoost, LightGBM, scikit-learn)
Experience owning the full ML lifecycle, from data exploration to production deployment and iteration
Experience working with large-scale, real-world datasets and noisy or incomplete data
Solid understanding of experiment design and causal inference, including A/B testing and offline evaluation
Ability to collaborate effectively with cross-functional partners and communicate technical concepts clearly
Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience

Job Responsibility

Design, develop, and deploy production machine learning models that power core product experiences and decision-making systems
Own the end-to-end machine learning lifecycle, including data analysis, feature engineering, model training, evaluation, deployment, and monitoring
Partner closely with Product, Engineering, Data, and Operations to translate product requirements and business goals into scalable ML solutions
Develop experimentation frameworks and causal measurement strategies to evaluate model impact and inform product decisions
Build and maintain forecasting, ranking, personalization, or optimization systems operating at scale
Drive improvements to model performance, reliability, and scalability in production environments
Contribute to the ML platform and infrastructure, improving tooling for training, experimentation, and monitoring
Influence technical direction through design reviews, code reviews, and mentorship of other engineers

What we offer

Offers Equity

Fulltime

Senior Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer to lead the design, architectu...

Location

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

Salary:

129500.00 - 230000.00 USD / Year

Scribd

Expiration Date

Until further notice

Requirements

6+ years of experience as a professional ML 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 (AWS, Azure, or GCP) and experience with deployment platforms (ECS, EKS, Lambda)
Proven ability to optimize system performance and make informed trade-offs in ML model and system design
Experience leading technical projects and mentoring engineers
Bachelor’s or Master’s degree in Computer Science or equivalent professional experience

Job Responsibility

Lead the design and architecture of ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring
Own the technical direction of core ML Platform components such as the feature store, model registry, and embedding-based retrieval systems
Collaborate with product software engineers to deliver ML models that enhance recommendations, personalization, and generative AI features
Guide experimentation strategy, A/B testing design, and performance analysis to inform production decisions
Optimize systems for performance, scalability, and reliability across massive datasets and high-throughput services
Establish and uphold engineering best practices, including code quality, system design reviews, and operational excellence
Mentor and coach ML engineers, fostering technical growth and collaboration across the team
Work with leadership to align technical initiatives with long-term ML strategy

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

Senior Machine Learning Engineer

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park, CA; Bellevue, WA

Salary:

209000.00 - 245000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of applied ML experience productionizing ML models with 2+ years focused on recommendations, ranking or personalization projects
A fervent interest in exploring and applying AI and ML technologies
Strive to solve sophisticated engineering problems that drive business objectives
Solid technical foundation enabling active contribution to the design and execution of projects and ideas
Familiarity with architectural frameworks of large, distributed, and high-scale ML applications
Hands-on experience in classical ML techniques with tabular data as well as modern techniques with sequential data
Proven experience in ML with a focus on ranking, recommendation systems, multi-objective optimization, and reinforcement learning
Proficiency in Python, SQL, XGboost, PyTorch/TensorFlow
Experience with Spark, Kafka, and Kubernetes is also desirable
Ideally you have experience in the Finance sector

Job Responsibility

AI and ML Research: Evaluate cutting technologies, including but not limited to, transformer based model architecture and large foundational models to identify solutions for Robinhood specific problems
Model Development and Implementation: Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content-Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation
A/B Testing and Experimentation: Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results
Data Analysis and Insight Generation: Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their relevance and accuracy
Cross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to different stakeholders
Tooling and Documentation: Build reusable libraries for common machine learning practices. Offer support and guidance to the usage of these tools. Maintain comprehensive documentation of libraries, models, experiments, and findings

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Senior Machine Learning Engineer

Groupon is a marketplace where customers discover new experiences and services e...

Location

Spain , Madrid; Valencia

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

5–8+ years hands-on experience building and deploying ML models in production, ideally for recommender, ranking, or personalization systems
Expertise in Python (and optionally Java/Scala), ML frameworks (PyTorch, TensorFlow, XGBoost), feature engineering, and data transformation
Solid background in cloud (GCP strongly preferred), container orchestration (Docker, Kubernetes), and modern data/feature pipelines
Skilled at structuring ambiguous problems and navigating fast-changing priorities—ready to build with minimal legacy constraints
Comfortable communicating complex technical concepts in clear, remote team environments (professional English)

Job Responsibility

Lead the full ML model lifecycle—feature engineering, model design, training, deployment, monitoring, and ongoing improvement
Architect and implement scalable ranking, retrieval, and personalization models using state-of-the-art ML frameworks (e.g., PyTorch, TensorFlow)
Build robust, production-ready ML data pipelines and infrastructure (Python, GCP, Docker/Kubernetes)
Integrate ML models into high-traffic distributed systems
ensure observability, CI/CD, and real-time performance
Collaborate closely with Product and Data Engineering to deeply understand business needs and translate them into measurable user impact
Set technical standards and mentor less-experienced colleagues as an emerging ML leader in our scale-up environment
Experiment with advanced techniques (embeddings, deep learning, reinforcement learning) and champion an evidence-driven, AI-first culture

What we offer

Greenfield Impact: Architect the backbone of Groupon’s revitalized search and recommendations from the ground up—with your work seen by millions
AI-First Scale-Up Vibe: Join a driven, supportive team amid exciting transformation—where speed, ambition, and technical influence matter
Career Launchpad: Be the ML architect/leader you’ve always wanted to be, with clear pathways to technical or team leadership as we grow
Global Collaboration: Work cross-functionally with international colleagues and senior leadership. EMEA time zone overlap preferred for maximum impact

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer, you will play a key role in advancing Dro...

Location

United States

Salary:

196200.00 - 331800.00 USD / Year

Dropbox

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
9+ years of experience in engineering with 5+ years of experience building Machine Learning or AI systems
Professional working experience in ML modeling for at least one of the following: Recommender Systems, Search, or Ranking
Strong industry experience working with large scale data
Strong collaboration, analytical and problem-solving skills
Familiarity with the state-of-the-art in Large Language Models
Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++
Experience with Machine Learning software tools and libraries (e.g., PyTorch, Scikit-learn, numpy, pandas, etc.)

Job Responsibility

Design, build, evaluate, deploy and iterate on large scale Machine Learning systems and LLM systems across cloud and mobile/edge environments
Understand the Machine Learning stack at Dropbox, and build systems that help Dropbox personalize their users’ experience
Develop and maintain production-quality code for serving machine learning models at scale
Lead end-to-end LLM workflows: data curation, prompt engineering, retrieval-augmented generation (RAG) pipelines, tool use/agents, and fine-tuning (e.g., instruction tuning, LoRA/adapters) with rigorous evaluation
Optimize for latency, cost, and quality using techniques like quantization, distillation, caching, batching, and autoscaling
tailor models for on-device vs. cluster execution
Establish robust offline/online evaluation: experiment design, A/B testing, guardrails and safety checks, hallucination mitigation, and automated monitoring/observability with clear SLOs
Communicate technical trade-offs, risks, and impact to cross-functional stakeholders
write clear design docs, roadmaps, and decision records
Mentor teammates, contribute to code reviews and best practices, and help shape the technical direction of ML and AI at Dropbox

What we offer

Competitive medical, dental, and vision coverage
401(k) plan with a generous company match and immediate vesting
Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more
Income Protection Plans: Life and disability insurance
Business Travel Protection: Travel medical and accident insurance
Perks Allowance to be used on what matters most to you
Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support
Access to over 10,000 global co-working spaces through Gable.to
Quarterly Cell phone and internet allowance
Mental health and wellness benefits

Fulltime

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Senior Machine Learning Engineer, AI Personalization

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