Senior Machine Learning Engineer, Search Assistant Job at Roku (San Jose)

Staff Machine Learning Engineer - Applied AI

The Applied AI team collaborates with product teams across Uber to deliver innov...

Location

United States , Sunnyvale, California; San Francisco, California; Seattle, Washington

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters degree or Ph.D in Computer Science, Engineering, Mathematics
8+ years of ML experience, including significant work on large-scale deep learning systems
Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI
Deep expertise in transformers, retrieval systems, ranking, and embedding architectures
Strong experience with PyTorch and distributed training
Track record of influencing technical direction across teams
Strong product intuition and ability to connect model improvements to business outcomes

Job Responsibility

Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI
Drive architecture decisions that influence multiple product surfaces (Eats, Grocery, Retail, Mobility)
Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants
Define long-term investment areas (build vs fine-tune vs partner models)
Mentor senior engineers and act as a technical multiplier across the org

What we offer

Bonus program
Equity award
401(k) plan
Various benefits

Fulltime

New

Python Genai Lead Engineer - Assistant Vice President

We are looking for a skilled Generative AI Developer to join our Controls Techno...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proficiency in Python for AI development, data preprocessing, and scripting
Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras)
Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA)
Exposure to RAG systems and basic knowledge of hybrid search techniques
Understanding of model deployment and containerization (Docker)
Understanding of version control systems (Git)
Awareness of AI compliance, data privacy, and responsible AI principles
Strong teamwork and communication abilities
Willingness to learn new AI/ML technologies and frameworks
Analytical mindset and attention to detail

Job Responsibility

Implement and fine-tune generative AI models under the guidance of senior team members
Contribute to prompt engineering and development of AI-powered workflows
Assist with the deployment, monitoring, and maintenance of AI models in production environments
Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities
Perform data preprocessing, feature engineering, and API development for AI applications
Participate in code reviews, testing, and documentation to ensure quality and reliability
Stay updated with advancements in GenAI and share relevant learnings with the team

Fulltime

Machine Learning Team Lead

TradingView is the world’s #1 platform for all things investing. 100M+ users tru...

Location

Cyprus; Georgia , Tbilisi

Salary:

Not provided

TradingView

Expiration Date

Until further notice

Requirements

2+ years of experience in managing technical teams with the ability to organize workflows and build effective processes
Deep understanding of the ML project lifecycle: from idea and prototype to production and maintenance
Strong knowledge of NLP/LLM technologies: text generation and classification, embeddings, RAG, and other modern techniques
Excellent communication skills and experience working with various teams (ML, backend, QA, product, analytics)
Ability to define and maintain roadmaps and make system-level engineering decisions
Experience in prioritization, risk assessment, and managing technical debt
Proficiency in Python and modern development tools (Git, CI/CD, Docker, Kubernetes)
Experience in operating ML systems in production (monitoring, metrics, A/B testing, incident handling)

Job Responsibility

Develop and enhance projects related to news processing (sentiment analysis, NER, classification, search, etc.)
Perform data analysis and preprocessing, prepare datasets, and build model pipelines
Design monitoring systems and evaluate the performance of ML systems
Lead a team of ML engineers working on NLP and LLM projects (news, content generation, recommendations, search, and chat systems)
Set tasks, prioritize work, manage deadlines, and ensure timely delivery
Collaborate with product and analytics teams to align goals and approaches
Support the technical growth of the team through mentoring, reviewing solutions, and assisting in system design
Improve development and deployment processes for ML solutions in production
Contribute to engineering efforts as a senior developer: design and implement key components, perform code reviews, and drive technical improvements

What we offer

Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work
A global, distributed team of 500+ professionals
Learning, mentorship, and long-term career growth
Relocation support and private health insurance
Performance-based bonuses
TradingView Premium access
Regular team events and company-wide meetups

Senior Service Engineer

Microsoft Advertising is the destination for experienced, collaborative, and pas...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 7+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR equivalent experience
3+ years’ experience of search, display and/or native advertising experience or working in a technical organization, preferably in the online industry for a high-volume commercial website or service
3+ years’ experience in data analysis and use of statistical software, working with large-scale datasets to identify patterns and anomalies
3+ years’ knowledge of ad fraud detection, cybersecurity, or online forensics techniques and tools, with experience investigating and mitigating complex security risks
Experience with programming languages such as Python, C#, Java, or R for scripting, automation, and building scalable tools and services
Familiarity with machine learning and AI concepts and their application in fraud detection, anomaly detection, and investigation workflows
Experience in web technologies (HTML, CSS, JavaScript) and online tracking mechanisms, including cookies, server-side tracking, and modern privacy-aware data signals
Excellent problem-solving skills and the ability to think critically in complex, ambiguous scenarios
Collaborative and positive team members with the ability to work effectively across technical, security, and business stakeholders
Customer-focused, anticipating, resolving, and responding to customer and ecosystem needs

Job Responsibility

Act as a front-line security gatekeeper for the Microsoft Advertising marketplace, leading advanced forensic investigations into complex fraud, malware, and unsafe advertising or supply practices
Identify anomalous trends and systemic patterns across disparate data sources (traffic, campaigns, domains, applications, partner signals), uncovering underlying threat vectors and ecosystem risks
Drive mitigation of traffic quality, policy, and security risks, proactively responding to evolving threats and continuously improving detection and investigation methodologies
Apply advanced investigative, data analysis, and AI-assisted techniques to connect signals across escalations, enabling end-to-end understanding and resolution of complex issues
Capture, analyze, and interpret security and platform events using standard and custom forensic systems, and develop automation and tooling to improve investigation efficiency and scale
Lead post-launch investigations and quality reviews for new features and high-risk scenarios, identifying gaps and driving improvements to platform integrity, resiliency, and observability
Design and deliver scalable, production-grade mitigation solutions—including services, automation, and AI-driven workflows—in partnership with engineering, business, and operations teams
Own resolution of complex technical risk exposure, driving execution through to durable, system-level fixes and platform improvements
Act as a technical expert and advisor, influencing stakeholders across engineering and business, sharing knowledge, and helping drive consistent application of security, AI, and engineering best practices

Fulltime

Senior Software Engineer

The Bing Multimedia team powers image and video search across Bing and other Mic...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Design, build, and evolve large-scale platforms for processing and storing billions of documents, with availability, latency, cost efficiency, and quality treated as first-class engineering goals.
Apply a metrics-driven engineering mindset when designing and shipping features—defining success criteria upfront and using data to drive prioritization, iteration, and measurable impact.
Partner with and empower scientists and engineers working across big data, computer vision, and machine learning, enabling rapid progress in a fast‑evolving technical landscape.
Build and operate services that support large-scale experimentation and research, enabling fast iteration and learning while ensuring efficient utilization of compute, storage, and other shared resources.
Continuously evaluate and adopt emerging technologies, including hardware acceleration and modern search and AI techniques, to improve system efficiency and elevate the end-to-end search experience.
Embrace AI-native and AI-assisted engineering practices to improve developer productivity, code quality, and operational excellence—while maintaining solid fundamentals in reliability, security, and correctness.

Fulltime

Senior Software Engineer

Azure Resource Graph’s (ARG, part of ARM/Azure Control Plane) mission is to reli...

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, OR Java, JavaScript, or Python OR equivalent experience
3+ years of experience building and shipping large scale cloud services such as Azure, AWS or Google Cloud
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Drive critical platform initiatives to scale with Azure’s growing needs, focusing on building high-throughput ingestion and querying infrastructure for cloud metadata and graph relationships
Own technical design, implementation, and delivery of systems that span distributed services, APIs, ingestion pipelines, and scalable storage
Contribute to performance tuning across the stack—from gateway services to runtime query engines—ensuring responsiveness and efficiency at large data volumes
Collaborate with engineers across Azure Core to ensure secure, reliable, and observable service operation at global scale
work on integrating AI-assisted capabilities (e.g., auto-tagging, anomaly detection, smart recommendations) into resource inventory using machine learning pipelines or inference APIs
Contribute to intelligent search and natural language querying features by partnering with teams working on Azure OpenAI and Azure Cognitive Search
Grow technical depth in distributed systems, runtime internals, and optional database technologies, while contributing reusable building blocks across the platform
Mentor other engineers, uphold engineering best practices, and foster a collaborative, high-trust team environment and understand and evolve platform architecture with a balance of short-term delivery and long-term sustainability

Fulltime

Senior Staff Perception/ML Research Engineer

As a Senior Staff Perception/ML Research Engineer on the Perception and Safety R...

Location

United States , Waltham

Salary:

173732.00 - 238882.00 USD / Year

Boston Dynamics

Expiration Date

Until further notice

Requirements

7+ years of experience working with perception sensor data, including stereo, LiDAR, radar, ToF, or IR data
5+ years of experience applying ML to perception problems, ideally on embedded systems
Deep knowledge of state of the art in related areas including human detection, autonomous vehicle and driver assist systems, and robot safety
Experience developing and deploying ML-based perception software for time-sensitive control systems, such as robotics
Experience developing specifications for perception systems from high-level product requirements
Experience with the full lifecycle of deep learning development, including network design, data management, training, evaluation, hyperparameter search, deployment, and validation
Strong communication skills, including ability to author technical documentation and deliver presentations on technical topics
History of leading cross-functional technical efforts through planning, technical requirement development, and interdisciplinary collaboration
History of working in small, interdisciplinary teams
Eligible to work in the United States

Job Responsibility

Help build the systems that allow our robots to operate safely around people
Develop datasets, metrics, and validation plans for ML models
Build, validate, and deploy ML models to detect hazards, humans, and other environmental features
Integrate these models onto our robots' embedded systems to collect data and evaluate performance
Work to improve model accuracy and run-time performance of models on specific hardware
Lead cross-functional technical efforts involving interdisciplinary efforts to develop robotic systems
Work closely with a small team to design and prototype new payloads, platforms, and product features which create safety features for our robots

What we offer

medical
dental
vision
401(k)
paid time off
annual bonus structure

Fulltime

Ai Architect

We are looking for an experienced AI Architect to shape and deliver enterprise A...

Location

United States , Coppell

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

2+ years of experience in architecture, AI solution design, or enterprise technology leadership roles
Demonstrated knowledge of enterprise architecture principles, API development, and microservices design
Hands-on experience with leading AI platforms and tools such as OpenAI, Gemini, GitHub Copilot, and LangChain
Practical understanding of retrieval-augmented generation, prompt design, and modern knowledge-based AI solution patterns
Ability to design secure, scalable, and production-ready AI systems that integrate with business applications and data platforms
Experience collaborating with technical and business stakeholders to translate operational needs into effective technology solutions
Strong communication and leadership skills with the ability to influence direction across cross-functional teams

Job Responsibility

Develop enterprise-wide AI architecture standards, reference models, and implementation guidelines to support consistent solution delivery across business functions
Design and deploy scalable platforms for generative AI, agent-based systems, machine learning, and analytics that can operate effectively in a global environment
Establish governance practices covering model oversight, responsible AI usage, security controls, compliance expectations, and lifecycle management
Partner with senior stakeholders to identify high-impact opportunities where AI can improve operational performance, decision-making, and business outcomes
Lead the architecture and rollout of AI-enabled assistants, knowledge tools, and automated workflows integrated with core enterprise applications and internal data sources
Create robust API, microservices, and orchestration patterns that enable reliable integration of AI services with business platforms and custom solutions
Build and refine retrieval-augmented generation solutions, vector-based search capabilities, prompt frameworks, and enterprise knowledge access models
Work with data engineering and platform teams to implement scalable AI pipelines, MLOps and LLMOps practices, monitoring, and cloud-based deployment patterns across major cloud environments
Evaluate emerging vendors, tools, and proof-of-concept solutions while guiding technical teams through architecture decisions, implementation challenges, and best practices

Fulltime

Select Country

Senior Machine Learning Engineer, Search Assistant

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?