Ai Engineer, Applied Ml Job at Perplexity (San Francisco)

Sr Staff ML Engineer - Applied AI

We are building AI-native discovery experiences across Mobility and Delivery. Se...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters degree or Ph.D in Computer Science, Engineering, Mathematics
12+ 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
Proven ability to set the technical strategy for a large organization and influence product roadmaps at the executive level
Strong product intuition and ability to connect model improvements to business outcomes

Job Responsibility

Define and champion the multi-year technical vision and architecture for foundation models across Search, Recommendations, and Conversational AI
Set the architectural standard and drive system design for critical, high-leverage ML platforms across Mobility and Delivery
Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants, resolving complex technical trade-offs across organizational boundaries
Define long-term investment areas (build vs fine-tune vs partner models) with clear business rationale and long-term viability
Provide principal-level technical leadership, mentoring Staff and Senior Staff engineers, and setting the bar for technical excellence across the entire AI organization

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Staff ML Engineer - Applied AI

Applied AI is a horizontal AI team at Uber partnering with product and platform ...

Location

India , Bangalore

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

10+ years of industry experience in machine learning or software engineering, with a proven record of delivering ML solutions to production
Strong knowledge of machine learning, deep learning, and exposure to generative AI techniques (e.g., transformers, LLMs, diffusion)
Experience designing and scaling ML systems or platforms, including training pipelines, serving infrastructure, and model lifecycle tooling
Fluency in ML frameworks (e.g., PyTorch, TensorFlow, JAX) and development in Python and/or scalable backend languages (e.g., Java, Go)
Excellent collaboration and communication skills with the ability to work across teams and functions

Job Responsibility

Design and implement ML-driven systems that power core Uber experiences, with a focus on scalability, reliability, and performance
Lead the technical execution of key projects involving classical ML, deep learning, and generative AI technologies (e.g., LLMs, multimodal models)
Collaborate closely with product, data science, and infrastructure teams to develop AI solutions from ideation through production deployment
Contribute to and influence the technical direction for Applied AI, particularly around system design, model architecture, and infrastructure decisions
Champion engineering best practices in ML development — including experimentation workflows, model versioning, evaluation, monitoring, and responsible AI
Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar

Fulltime

Sr. Applied Scientist – AI Velocity Team, Applied AI Acceleration Solutions Architecture

Are you passionate about using data science to transform how businesses understa...

Location

United States , Seattle; New York

Salary:

167100.00 - 248700.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
5+ years of quantitative and qualitative data science/business intelligence with significant business impact experience
3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
PhD, or PhD and 4+ years of designing experiments and statistical analysis of results experience
Experience in A/B testing
Proficiency in Python and SQL
experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost
Track record of delivering end-to-end data science solutions from problem definition through production deployment

Job Responsibility

Design, develop, and deploy statistical models and machine learning pipelines to drive product improvements and business decisions
Work directly with customers during production pilots to design, build, and deploy AI solutions that demonstrate measurable business value
Design and execute A/B experiments and causal inference analyses to measure the impact of new features and model changes on customer outcomes
Build ROI models and business case tools that quantify the value of Connect Customer AI for existing customers transitioning from Connect Customer Basic
Develop and maintain forecasting systems for demand prediction, capacity planning, and workforce optimization
Develop and apply NLP and generative AI techniques to extract insights from structured and unstructured data at scale
Partner with applied scientists and software engineers to productionize models, ensuring reliability, monitoring, and operational excellence
Enable AI Velocity teams with reusable analytical assets, diagnostic notebooks, and scalable tooling that accelerate customer engagements
Build benchmarking studies and optimization frameworks that demonstrate value across customer cohorts
Own success metrics and create mechanisms to measure model performance, adoption, and business impact

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
sign-on payments
restricted stock units (RSUs)

Fulltime

New

Applied Ai Engineer

As an Applied AI Engineer – Edge AI & Computer Vision, you will play a pivotal r...

Location

Romania , Timișoara

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

Ideally 2–3 years of practical experience working on Machine Learning and Computer Vision systems deployed at the edge
Proven experience in moving machines learning models successfully from research environments to high-performance, real-time production environments
Bachelor’s degree in computer science, Engineering, Machine Learning, Mathematics, or a closely related technical field
Master’s degree in a related technical domain is highly preferred
Exceptional practical problem-solving and algorithmic skills
Highly analytical and able to identify trends, make data-driven decisions, and think critically to construct efficient solutions
Proactive and highly adaptable
comfortable navigating ambiguity in a fast-paced, rapidly evolving ML environment
Strong communication and teamwork skills
capable of aligning technical consensus and influencing peers with technical expertise while beginning to act as a mentor

Job Responsibility

Own and deliver key Machine Learning and Computer Vision components or features of a project
Design, execute, and deliver robust applications that interface with edge devices
Support graduated AI solutions throughout their production lifecycle, ensuring continuous reliability
Refine, refactor, and harden existing AI implementations to meet high-quality production standards
Design and implement targeted initiatives to optimize system efficiency, real-time performance, and pipeline output
Apply model optimization techniques (e.g., quantization, pruning, and latency tuning) for specialized, resource-constrained edge devices
Develop advanced-scope tools to automate research and development processes and enhance workflow efficiency
Manage production infrastructure for model training and serving, incorporating modern MLOps workflows and pipelines
Identify novel solutions and take an active role in designing modular application units
Expand on experimental results presented by research teams and successfully transition them from research to robust production environments

Fulltime

Applied AI Engineer

Infer is building the operating system for insurance agencies. We make AI agents...

Location

India , Bengaluru

Salary:

2000000.00 - 5000000.00 INR / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

ML engineering experience shipping production systems
Strong Python and a working ML stack (PyTorch, Huggingface, pandas, scikit-learn)
Hands-on experience designing LLM-based agents: prompting, tool/function calling, multi-turn state, structured outputs
Hands-on experience building evals or eval frameworks for ML, LLM, or voice systems. Built LLM-as-judge eval pipelines and know their failure modes
Practical experience with ASR/STT comparing providers, fine-tuning, or running open models like Whisper
Practical experience with TTS systems (ElevenLabs or open models)
Comfortable working with audio data: sample rates, codecs, noise, alignment

Job Responsibility

Building and maintaining the eval framework that scores voice agent quality across transcription, LLM reasoning, tool use, TTS, and full-conversation outcomes
Design voice agent behavior: system prompts, tool use, conversation flow, error recovery, and guardrails for real-time interactions
Drive STT and TTS accuracy improvements by comparing providers, tuning configurations, and running rigorous A/B experiments the team can act on
Drive TTS quality improvements voice selection, latency vs. fidelity tradeoffs, prosody, edge cases
Curate and grow our evaluation datasets, including hard-case mining from production traffic
You'll build benchmarks we can run against any new model in days, run a red-team pipeline that probes for jailbreaks, hallucinated quotes, and compliance failures
Partner with backend engineers to wire eval signals into CI so regressions get caught before they ship
Wire eval signals into CI so regressions block merges, and build self-improvement loops where hard cases from production auto-feed the eval set and our prompts optimize themselves over time

Fulltime

Applied AI Engineer - Engineering Simulation & Design Exploration

Engineering simulation is undergoing a structural shift. What used to be a slow,...

Location

Canada , Quebec

Salary:

Not provided

Bentley Systems

Expiration Date

Until further notice

Requirements

Strong programming ability (Python required)
Experience with PyTorch, JAX, or similar ML frameworks
Solid understanding of numerical simulation: FEM, CFD, or multiphysics modeling
Familiarity with: Deep learning, surrogate modeling, reduced-order models, or optimization workflows
Good communication skills and collaborative mindset

Job Responsibility

Keep track of new technologies in the field
Evaluate emerging simulation and AI tools through hands-on prototyping
Build and benchmark surrogate models against traditional FEM/CFD workflows
Test robustness, limitations, and failure modes of new approaches
Prototype hybrid pipelines (e.g., surrogate + high-fidelity validation)
Explore how these approaches can integrate into real engineering workflows
Report to stakeholders with clear recommendations

Fulltime

Applied Ai Engineer

Build and ship AI features end-to-end (model → system → user experience); Design...

Location

China , Shanghai

Salary:

600000.00 - 1500000.00 CNY / Year

Randstad

Expiration Date

September 02, 2026

Requirements

Strong foundation in machine learning and modern neural network architectures
Hands-on experience with training, fine-tuning, or deploying ML models
Ability to write clean, production-quality code
Comfort working across abstraction layers (model → infra → product)
Strong problem-solving skills in ambiguous, fast-moving environments
Bias toward shipping, iteration, and continuous improvement

Job Responsibility

Build and ship AI features end-to-end (model → system → user experience)
Design and iterate on prompts, tools, memory, and agent workflows
Turn raw model outputs into structured, reliable, and predictable behaviors
Debug issues across the full stack (model, orchestration, infra, UX)
Optimize for latency, cost, and production reliability
Develop lightweight evaluation frameworks to measure real-world performance
Work closely with product and engineering to translate ambiguous problems into working systems

Fulltime

Senior Applied AI Engineer

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, with at least 5+ years specializing in Applied AI/ML engineering or related roles
Significant proven data science / AI engineering experience, with multiple years leading tech implementations in financial services or enterprise environments
Demonstrated success building AI applications in investment banking, asset management, or capital markets domains
Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices
Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research)
Familiarity with front-office workflows in ECM, DCM, M&A, and investment research
Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud)
Strong communication and stakeholder management skills

Job Responsibility

AI/ML Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of advanced AI/ML solutions and platforms supporting Investment Banking workflows in ECM, DCM, and M&A. This includes leveraging existing models and adapting them to specific business needs
Subject Matter Expertise: Act as the primary subject matter expert in Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders to understand their needs and identify high-impact AI opportunities
Technical Leadership & Mentorship: Provide technical leadership and guidance to engineering teams, fostering best practices in AI/ML solution implementation and scalable system design. Mentor less experienced engineers through code reviews, technical discussions, and collaborative problem-solving
Strategic Vision & Innovation: Contribute to the strategic vision for AI in Investment Banking, researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge
Data Strategy & Engineering: Work closely with data engineers to define data requirements, ensure data quality, and optimize data pipelines for AI solution integration and deployment
Model Deployment & Monitoring: Oversee the deployment, scaling, monitoring, and ongoing maintenance of AI/ML solutions in production environments, ensuring reliability and performance
Performance Optimization: Identify and implement performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization and rapid inference
Collaboration: Partner with cross-functional teams, including product managers, data scientists, quantitative analysts, and other engineering leads, to deliver integrated solutions
Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and operational guides

Fulltime

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Ai Engineer, Applied Ml

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