Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

About Shippo At Shippo, our vision is bold and clear: we are the shipping layer of the internet. Our mission is to ma...

Machine Learning Mlops Ai

$212k* · Senior Fully remote

View details

About FINN FINN is an independent platform for car subscriptions from over 30 brands. Subscribe to a car with just a ...

Fulltime Data Science Ai

$75k - $88k* · Senior Fully remote

View details

À propos du groupe SYD Nous intervenons autour de 6 domaines d'expertise : intégration de solutions métiers, Conseil ...

Fulltime Data Science Ai

$26k* · Senior Fully remote

View details

Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world proble...

Fulltime Ai Machine Learning Data Science

$114k - $170k · Senior Fully remote

View details

About 3E: We are a mission-driven company dedicated to creating a safer and more sustainable world!3E provides award-...

Ai Engineer Ai

$150k* · Senior Fully remote

View details

Who We Are: Bandwidth, a prior “Best of EC” award winner, is a global software company that helps enterprises deliver...

Ai Engineer Ai

$12k* · Senior Fully remote

View details

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the ...

Fulltime Ai Machine Learning

$223k - $325k · Senior Fully remote

View details

Den Haag Hbo bachelor 32 - 36 uur schaal 11 / €4.024,11 - €6.110,94 (bruto) Onderzoek / wetenschap Solliciteer voor 3...

Parttime Fulltime Ai Data Science

Fully remote

View details

As an AI Engineer Intern, you'll join a global team of engineers and product professionals working on AI-enabled digi...

Parttime Ai Ai Engineer Generative Ai

$41k - $49k · Senior Fully remote

View details

Product ops Machine Learning Engineer - AIGC Development Location : San Jose Employment Type : Regular Job Code : A46...

Ai Machine Learning

$176k - $395k · Senior Fully remote

View details

Data Scientist for Defence decision-support tool Could you see yourself develop high-quality machine learning models ...

Machine Learning Data Science Mlops Ai

Fully remote

View details

Si ricercano candidati con profilo professionale di AI Agent Solutions Specialist / AI Engineer, per le sedi di Pisa,...

Ai Ai Engineer Generative Ai

$42k* · Senior Fully remote

View details

Who are Benifex? We are a fast-moving technology company, and one of the most successful providers of online reward a...

Data Science Data Engineer Ai

$88k - $114k* · Senior Fully remote

View details

Role: Sr. AI/ML Engineer Location: New York or Alpharetta, GA (Hybrid) 3 to 5 days in the office. Experience: 8-10 ye...

Ai Engineer Machine Learning Ai

$12k* · Senior Fully remote

View details

About the Company At Mynx Software, located in the heart of Dallas, we’re driven by a mission to transform the way he...

Fulltime Ai Machine Learning Generative Ai

$75k* · Senior Fully remote

View details

We are looking for a hands-on Full-Stack AI Engineer who enjoys building real products end-to-end. In this role, you ...

Fulltime Ai Ai Engineer Generative Ai

Fully remote

View details

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world'...

Machine Learning Ai

Fully remote

View details

We are seeking a motivated and innovative Applied AI Engineer to join our team. This role focuses on designing and de...

Fulltime Ai Ai Engineer Generative Ai

$110k - $125k · Senior Fully remote

View details

& Summary PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into oppo...

Fulltime Remote Ai Engineer Ai

$370k* · Senior Fully remote

View details

We are looking for a Senior Deep Learning Engineer to help bring Cosmos World Foundation Models from research into ef...

Fulltime Ai Deep Learning Robotics

$221k* · Senior Fully remote

View details

Selected role

Principal Machine Learning Engineer, ML Platform

Shippo

$212k Senior Full-time

About Shippo
At Shippo, our vision is bold and clear: we are the shipping layer of the internet. Our mission is to make every merchant successful through excellent shipping, delivering world-class logistics technology and infrastructure. We’re building the backbone of global e-commerce — connecting merchants to carriers worldwide through a single API and intuitive dashboard.
As a remote-first and globally distributed team, we believe flexibility fuels trust, autonomy, and performance. Our diverse perspectives — across continents, cultures, and time zones — drive our innovation and enable us to build solutions used by businesses everywhere. We invest in modern, scalable technology so our teams can build, ship, and iterate with confidence.
Your impact starts here: every person at Shippo plays a direct role in shaping the infrastructure that powers global commerce and makes shipping simpler for businesses around the world.

How we will deliver success together:
Shippo is expanding applied ML across core business problems — delivery-date prediction, fraud detection, anomaly detection, and other optimizations in shipping logistics. To deliver these capabilities reliably and at scale, we need a standardized, production-grade ML platform that makes it easy to develop, test, deploy, and operate models.

This Staff ML Platform Engineer will build the “paved roads” that reduce time-to-production, improve model and service reliability, lower operational risk, and advance ML workflows. Our stack is Databricks-centric today, but we want a vendor-agnostic leader who can advise when Databricks is the right fit and when alternative approaches are better for performance, cost, or operational simplicity. This role will directly increase ML product velocity and improve the consistency and quality of ML systems that power customer-facing experiences and internal decision-making.

Shipping & handling responsibilities

Set technical strategy and drive a multi-quarter roadmap for ML platform capabilities aligned to Shippo’s business priorities.
Own cross-team architecture decisions, RFCs, and design reviews for ML lifecycle and inference.
Raise the engineering bar through mentorship, production readiness standards, and reusable platform primitives.
Be accountable for platform adoption, reliability, and cost-performance outcomes.
Build and operate core ML platform components:
ML lifecycle foundation (experiment tracking, reproducibility, artifact management, model registry, versioning, and controlled promotion workflows using MLflow or equivalent).
Training and experimentation enablement (standardized environments, reusable pipelines/templates, evaluation harnesses, and repeatable workflows that let data scientists move from exploration to production with confidence).
Kubernetes-native model serving for real-time inference (safe rollout and rollback, autoscaling, reliability practices, and cost controls).
Batch inference and scoring pipelines (repeatable backfills, retraining triggers, consistent packaging between training and inference).
Observability for ML systems (service health metrics, alerting, and model-quality signals such as drift and data quality).
Developer experience (templates, reference implementations, documentation, and self-service workflows).
Evaluate and recommend inference frameworks and deployment patterns, and document tradeoffs for Shippo’s workloads.
Identify and resolve performance bottlenecks across the inference stack (model runtime, compute utilization, networking, serialization, and autoscaling behavior).
Establish ML engineering standards across training, evaluation, testing, model packaging, CI/CD, production readiness, and incident response.
Partner with Data Science teams to bridge research and production environments by creating repeatable frameworks, shared standards for code quality and reproducibility, and self-serve paths to deploy models safely.
Collaborate with Data and Engineering teams to ensure the platform supports real workflows, drives adoption, and meets reliability expectations.
Mentor engineers through design reviews, architecture guidance, and shared best practices across platform and ML development.

Your shipping requirements

15+ years of software engineering experience, including ownership of production systems (platform, infrastructure, or distributed systems).
4+ years owning ML systems end-to-end in production, including on-call and incident response, and making architecture decisions based on operational constraints (latency, throughput, availability, and cost).
Strong experience building and running services on Kubernetes, including deployments, autoscaling, and observability.
Hands-on experience with ML lifecycle tooling such as MLflow or equivalent (tracking, registry, packaging, and promotion workflows).
Demonstrated ability to evaluate inference tradeoffs across batch and real-time serving, CPU versus GPU, latency and throughput, cost, and operational complexity.
Demonstrated Staff-level technical leadership, including setting technical direction, driving cross-team alignment via RFCs/design reviews, and delivering multi-quarter roadmaps.
Proven ownership of reliability and operational outcomes for production systems (SLOs, incident response, and measurable improvements in stability and performance).
Demonstrated ability to ship incrementally, prioritize production reliability over perfect solutions, and drive adoption through pragmatic platform design.
Experience working with or evaluating managed ML platforms (Databricks, SageMaker, Vertex AI, or similar), with clear judgement on strengths, limitations, and build-vs-buy decisions.

Bonus

Databricks experience (useful, not required), including Databricks workflows and ML tooling integration.
Experience with inference and serving frameworks.
Experience with feature store patterns, online and offline consistency, and model evaluation at scale.
Experience supporting optimization systems and decision engines in production.
LLM or agent workflow experience, especially evaluation harnesses, deployment patterns, guardrails, and monitoring.

What is in the Shippo Package?

Healthcare coverage for medical, dental, and vision (90% covered by the company, incl. dependents). Pets coverage is also available!
Take-as-much-as-you-need vacation policy & flexible working
One week-long company wide winter slow down
3 Volunteer Days Off (VTOs)
WFH stipend to set up your home office
Charity donation match up to $100
Dedicated programs, coaching, tools, and resources for your professional and career growth as well as an individual learning stipend for your personal and focused growth
Fun team in person time through our Shippos Everywhere program which includes regular team and company off-sites throughout the year as well as local Shippos gatherings

Compensation
Our Compensation Shippolicy:
We believe compensation is a custom experience and are commited to fair and equitable compensation practices. The standard base pay range for this role is min is $212k to a max $287k annual salary (we tend to anchor our offers at the mid point $250k). Since we are focused on hiring Shippos Everywhere, we have 2 US pay ranges, a standard compensation range for the majority of the US and a standard +1 compensation range for those who live in areas where the cost of labor is higher, such as NYC and California.
The actual base pay is dependent upon many factors, such as: financial budgets, work experience, training, transferable skills, business needs, and market value. The base pay salary ranges are subject to change and may be modified in the future. Total compensation for this role will include, equity, medical, dental, vision and other benefits noted in our Shippos “package” section.

Sail through the process:
Here at Shippo, we celebrate inclusivity and are committed to creating equal access to opportunities for people from all backgrounds, perspectives and geographies. These values define who we are and everything we do. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at [email protected]

Shippos in the wild:
Our people, much like the packages we help ship, are all over the world. This means, through our remote-first program, “Shippos Everywhere”, our roles can be based anywhere in the US with the exception of Delaware, Nevada, Ohio, Oregon, Hawaii, New Mexico and West Virginia and many roles can be based internationally.
For locations outside of the US and Ireland, the employment contracts are powered by Remote.com (all Shippo perks still apply - including equity!). What we want to emphasize is that you can be successful at Shippo regardless of location.

Show less

Seniority level

Director

Employment type

Full-time

Job function

Engineering

Industries

Software Development

Showing 2781–2800 of 4,702 AI roles

1 … 138 139 141 142 236

Find your next AI role

Principal Machine Learning Engineer, ML Platform

Data Scientist (m/f/x)

Data Scientist et IA

Data Scientist AI Operations-Senior Associate

AI Engineer

AI Engineer, Research Development

Principal Applied AI ML Engineer

Data Scientist - Expert AI

AI Engineering Intern

Machine Learning Engineer - AIGC Development

Data Scientist

AI Agent Solutions Specialist / AI Engineer

Senior Data Scientist

Sr. AI/ML Engineer

Machine Learning Engineer

Full-Stack AI Engineer

Machine Learning Engineer

Applied AI Engineer

AI Engineer

Senior Deep Learning Engineer