Machine Learning & Ai

Machine Learning & Ai Engineer Jobs

3 jobs found

Today

Sr. Machine Learning Engineer, Pricing, Robotaxi

Tesla Palo Alto, CA

Palo Alto, CA

Today

$172k - $258k/yr Full time Artificial Intelligence Data Pipeline Data Processing

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Job Description

Tesla’s Robotaxi division is building real-time pricing capabilities that help align rider experience with operational revenue and cost efficiency. As a Sr. Machine Learning Engineer for Pricing, you will use first principles to design, train, and productionize models that translate trip context into trustworthy, dynamic fare quotes for a driverless fleet.

This onsite role is based in Palo Alto, CA and focuses on shipping low-latency pricing intelligence that can scale across markets.

What You’ll Do

Design, train, and productionize machine learning models for real-time Robotaxi pricing, including base fare, distance and time, demand, traffic, tolls, taxes, government fees, and location-specific surcharges
Build price-elasticity, conversion, and competitive-response models
Develop dynamic, contextual pricing with logical guardrails that protect rider trust and quote fairness
Productionize ML and optimization pipelines, including feature engineering, training, low-latency inference, experimentation, monitoring, and rollback
Analyze ride sessions, costs, and competitor prices to continuously improve the pricing stack, and support global expansion with market-specific fees and airport and event experiences
Partner with growth and profitability teams to help maintain economically scalable fleet operations

What You’ll Bring

A degree in Computer Science, Machine Learning, Operations Research, Economics, or a related field, or proof of exceptional skills in a related field, or equivalent experience
4+ years developing and deploying machine learning models and pricing or marketplace algorithms in large-scale production environments
Experience in rideshare, marketplace, or large-scale dynamic pricing (strongly preferred)
Proficiency in Python and at least one of Go, C++, Java, or Scala; experience building backend distributed systems and low-latency, user-facing services
Experience with deep learning, causal machine learning, and/or reinforcement learning for pricing or real-time decisioning
Experience with large-scale data systems, deep learning, and ML/RL for pricing and real-time decisioning
Strong experimentation instincts, first-principles economics, and high standards for optimal outcomes
Ability to solve open-ended, difficult technical problems with little guidance and collaborate effectively across product, finance, billing, and engineering

Technologies

Python
Go
C++
Java
Scala

Compensation

USD 172,000 - 258,000 per year (annual salary) plus cash and stock awards and benefits. Pay may vary based on individualized factors, including market location, job-related knowledge, skills, and experience. Total compensation may include other elements depending on the position offered.

Benefits

Medical plans with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans with options and $0 paycheck contribution
Company paid HSA contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life and AD&D
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions) and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

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Today

AI engineer

WRITER New York, NY

New York, NY

Today

$198k - $259k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

WRITER is seeking an AI engineer to build and deploy high-performance, scalable AI applications and AI-powered features for its enterprise platform. The role emphasizes production impact, scalable delivery, and responsible deployment of large language model capabilities, including intelligent agents grounded in enterprise data.

Role Responsibilities

Architect, develop, and deploy high-performance, scalable AI applications in production environments, with reliable integrations across the end-to-end platform.
Drive development of intelligent agents and AI-powered features, converting complex research into solutions that deliver practical customer impact.
Collaborate with research scientists, data scientists, and product managers to define technical requirements and ship features aligned with key business needs.
Support research and evaluation of emerging AI technologies, frameworks, and tools to sustain leadership in enterprise generative AI.
Promote responsible AI practices, including bias detection, explainability, and safety alignment, to help ensure systems are trustworthy and ethical.

Required Qualifications

5+ years of professional experience building and deploying machine learning or AI systems in production.
Proficiency in Python and experience with AI/ML frameworks including PyTorch, TensorFlow, or JAX.
Strong foundation in machine learning, deep learning architectures, and natural language processing, especially large language models.
Experience with cloud platforms such as AWS, GCP, or Azure, along with MLOps tools used to manage the AI lifecycle.
Proven ability to write clean, efficient, well-tested code for scalable software systems.
Strong problem-solving skills and interest in tackling complex technical challenges through creative AI solutions.
Collaboration mindset across teams, commitment to challenging the status quo to drive innovation, and ownership of projects with a focus on impact and excellence.

Technologies

Python, PyTorch, TensorFlow, JAX, AWS, GCP, Azure

Compensation and Location

Location: New York, NY (hybrid)
Salary: USD 198,000 - 259,000 per year

Benefits

Generous PTO and company holidays
Medical, dental, and vision coverage for you and your family
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Flexible spending account and dependent FSA options
Health savings account for eligible plans with company contribution
Wellness stipend for gym, massage/chiropractor, personal training, and more
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation, company stock options, and 401k

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Today

Staff Applied AI Engineer

Ivanti Utah, UT

Utah, UT

Today

Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Build end-to-end, production AI systems that connect unified structured and unstructured data to decision-grade analytics and agentic LLM solutions, with architectural ownership across the enterprise.

Responsibilities

Unify structured and unstructured data by creating pipelines that bring together Snowflake datasets (plus adjacent warehouses and lakes) and unstructured sources including text, documents, logs, and transcripts into modeling-ready datasets.
Deliver decision-grade analytics, including customer churn analytics with quantified uncertainty (confidence or credible intervals) and clear communication on what the metrics support and where assumptions limit interpretation.
Build predictive and prescriptive models that move from forecasting to action by developing propensity and optimization or recommendation systems that drive concrete business decisions.
Engineer agentic AI systems by designing and shipping LLM workflows and agents that are token-efficient through context management, retrieval and caching strategies, model routing, and evaluation harnesses that protect cost and latency without sacrificing quality.
Architect for the enterprise by defining reference architectures, integration patterns, and governance standards across ingestion, model development, MLOps/LLMOps, security, and observability, supported with diagrams and documentation.
Own quality and reliability by establishing evaluation, monitoring, and guardrails for drift, accuracy, bias, safety, and cost across both classical ML and GenAI systems.
Partner across the business by translating ambiguous business needs into technical solutions and explaining technical tradeoffs to non-technical stakeholders.

Requirements

Hands-on data engineering experience with Snowflake (including modeling, performance, and cost management) plus SQL, along with experience wrangling unstructured data.
Applied statistics skills to build churn or retention models and express uncertainty correctly using confidence or credible intervals, including a clear understanding of underlying assumptions.
Demonstrated experience building predictive and prescriptive analytics that shipped and influenced decisions.
Production experience with LLM and agentic systems using frameworks such as LangGraph, Claude Agent SDK, CrewAI, or custom orchestrators, with a track record of optimizing token efficiency, cost, and latency.
Production RAG experience is strongly expected at senior+ level, including chunking, hybrid search, reranking, and retrieval evaluation.
Architecture strengths, including the ability to design and document end-to-end systems and patterns others can build on, with evidence supporting design choices.
Strong Python and a software engineering mindset covering testing, version control, and CI/CD.
Excellent written and verbal communication with comfort working asynchronously in a distributed team.

Technologies

Snowflake
SQL
Python
LangGraph
Claude Agent SDK
CrewAI
RAG
CI/CD
AWS Solutions Architect
Google Cloud Professional ML Engineer
Azure AI Engineer
TOGAF
vLLM
TensorRT

Benefits

Friendly flexible working model supporting work-life balance, whether working from home or in the office.
Competitive compensation and total rewards, including health, wellness, and financial plans for you and your family.
Global, diverse teams with collaboration across 23+ countries.
Learning and development with access to best-in-class learning tools and programs.
Equity and belonging, with an emphasis on valuing every voice.

Nice to Have (Preferred)

Cloud certifications (AWS Solutions Architect, Google Cloud Professional ML Engineer, Azure AI Engineer) and/or TOGAF for enterprise architecture.
Experience with inference optimization such as quantization, model routing, caching, and vLLM or TensorRT-style serving.
MLOps/LLMOps tooling experience and platform-building.
Domain experience in your industry, and prior experience owning AI strategy or build-vs-buy decisions.

What Success Looks Like (First 6–12 Months)

Deliver a unified data foundation combining Snowflake and unstructured sources for downstream modeling.
Launch a churn analytics offering trusted by the business, including quantified uncertainty and clear recommended actions.
Ship at least one production agentic solution that reduces token spend and latency versus a naive baseline while meeting quality requirements.
Publish and get adoption of a documented reference architecture and standards across teams.

About the Role

Full-stack data and AI builder role spanning raw data ingestion, defensible analytics, and production AI systems.
Architect and implement both the analytics and agentic systems, while defining the reference architectures, patterns, and standards the organization can build on.
Emphasis on architectural ownership and systems that are cost-efficient by design.

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Machine Learning & Ai Engineer Jobs

Sr. Machine Learning Engineer, Pricing, Robotaxi

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