New York, NY · On-site
$227K - $324K/yr
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. * Partner closely with ...
New York, NY · On-site
$227K - $324K/yr
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. * Partner closely with ...
New York, NY · On-site +1
$227K - $324K/yr
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. * Partner closely with ...
New York, NY · On-site +1
$227K - $324K/yr
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. * Partner closely with ...
Manhattan, NY · On-site
$227K - $324K/yr
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. Partner closely with ...
Manhattan, NY · On-site
$227K - $324K/yr
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. Partner closely with ...
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. * Partner closely with ...
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. * Partner closely with ...
Build generative AI, agentic AI, and large language model solutions in Python from proof of concept ... Build and maintain pipelines and frameworks for model training, evaluation, optimization ...
Build generative AI, agentic AI, and large language model solutions in Python from proof of concept ... Build and maintain pipelines and frameworks for model training, evaluation, optimization ...
Jersey City, NJ · On-site
$171K - $260K/yr
Build generative AI, agentic AI, and large language model solutions in Python from proof of concept ... Build and maintain pipelines and frameworks for model training, evaluation, optimization ...
Jersey City, NJ · On-site
$171K - $260K/yr
Build generative AI, agentic AI, and large language model solutions in Python from proof of concept ... Build and maintain pipelines and frameworks for model training, evaluation, optimization ...
Build generative AI, agentic AI, and large language model solutions in Python from proof of concept ... Build and maintain pipelines and frameworks for model training, evaluation, optimization ...
Build generative AI, agentic AI, and large language model solutions in Python from proof of concept ... Build and maintain pipelines and frameworks for model training, evaluation, optimization ...
New York, NY · On-site
What You'll Bring * Experience designing and delivering AI/ML or large language model-based ... training, coaching, and thought leadership. * A collaborative, growth-oriented mindset with ...
New York, NY · On-site
What You'll Bring * Experience designing and delivering AI/ML or large language model-based ... training, coaching, and thought leadership. * A collaborative, growth-oriented mindset with ...
Build generative AI, agentic AI, and large language model solutions in Python from proof of concept ... Build and maintain pipelines and frameworks for model training, evaluation, optimization ...
Build generative AI, agentic AI, and large language model solutions in Python from proof of concept ... Build and maintain pipelines and frameworks for model training, evaluation, optimization ...
Manhattan, NY · On-site
$227K - $324K/yr
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. Partner closely with ...
Manhattan, NY · On-site
$227K - $324K/yr
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. Partner closely with ...
New York, NY · Remote
$227K - $324K/yr
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. * Partner closely with ...
Quick apply
New York, NY · Remote
$227K - $324K/yr
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. * Partner closely with ...
Manhattan, NY · On-site
Lead the design and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. * Codebase ownership
Manhattan, NY · On-site
Lead the design and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. * Codebase ownership
Manhattan, NY · On-site
Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures. Build and ...
Manhattan, NY · On-site
Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures. Build and ...
New York, NY · On-site
$153K - $200K/yr
You will integrate large language models into enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the Stack AI platform, you'll also partner with ...
New York, NY · On-site
$153K - $200K/yr
You will integrate large language models into enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the Stack AI platform, you'll also partner with ...
Practical experience embedding generative AI or large language model tools into professional ... training" or for equipment/delivery of equipment. Stay informed and protect yourself from ...
New
Practical experience embedding generative AI or large language model tools into professional ... training" or for equipment/delivery of equipment. Stay informed and protect yourself from ...
New
... model training, inference, and agentic systems. * Develop novel algorithms that improve the accuracy, latency, and compute cost of large language model and agentic workloads. * Establish the ...
... model training, inference, and agentic systems. * Develop novel algorithms that improve the accuracy, latency, and compute cost of large language model and agentic workloads. * Establish the ...
... model training, inference, and agentic systems. * Develop novel algorithms that improve the accuracy, latency, and compute cost of large language model and agentic workloads. * Establish the ...
... model training, inference, and agentic systems. * Develop novel algorithms that improve the accuracy, latency, and compute cost of large language model and agentic workloads. * Establish the ...
Manhattan, NY · On-site
$170K - $260K/yr
... model training, inference, and agentic systems. * Develop novel algorithms that improve the accuracy, latency, and compute cost of large language model and agentic workloads. * Establish the ...
Manhattan, NY · On-site
$170K - $260K/yr
... model training, inference, and agentic systems. * Develop novel algorithms that improve the accuracy, latency, and compute cost of large language model and agentic workloads. * Establish the ...
New York, NY · On-site
$112K - $147K/yr
Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures. * Build and ...
New York, NY · On-site
$112K - $147K/yr
Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures. * Build and ...
Jersey City, NJ · On-site
$142K - $213K/yr
The ideal candidate will be responsible for designing, developing, and deploying cutting-edge applications that leverage Generative AI and Large Language Models (LLMs). This role involves ...
Jersey City, NJ · On-site
$142K - $213K/yr
The ideal candidate will be responsible for designing, developing, and deploying cutting-edge applications that leverage Generative AI and Large Language Models (LLMs). This role involves ...
$11.27 - $15.05
3% of jobs
$15.05 - $18.84
15% of jobs
$20.13 is the 25th percentile. Wages below this are outliers.
$18.84 - $22.63
20% of jobs
The median wage is $24.82 / hr.
$22.63 - $26.41
20% of jobs
$29.86 is the 75th percentile. Wages above this are outliers.
$26.41 - $30.20
18% of jobs
$30.20 - $33.98
6% of jobs
$33.98 - $37.77
3% of jobs
$37.77 - $41.55
3% of jobs
$41.55 - $45.34
2% of jobs
$45.34 - $49.13
5% of jobs
$49.13 - $52.91
3% of jobs
$11
$29
$52
New York, NY • On-site
$227K - $324K/yr
Full-time
Medical, Retirement, PTO
Re-posted 16 days ago
Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.
Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.
Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world.
As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You'll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences that delight users and drive meaningful impact. This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale.
Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.
Build content recommendation systems for emerging agentic and AI-powered user experiences.
Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches.
Partner closely with product managers, engineers, data scientists, and designers to define and execute experimentation strategies.
Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.
Improve ML platform capabilities, data pipelines, and production systems that support personalization at Spotify scale.
Drive technical direction in ambiguous problem spaces and contribute to the long-term architecture of personalization systems.
Mentor and support other machine learning engineers, helping raise the bar across the team.
You have 8+ years of experience building and deploying machine learning systems in production environments.
You have deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
You have strong proficiency in Python and hands-on experience building machine learning systems with PyTorch.
You are experienced with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA.
You have worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization.
You care deeply about creating high-quality user experiences through thoughtful application of machine learning.
You communicate effectively across technical and non-technical audiences, and you influence technical decisions beyond your immediate team
You know how to design, execute, and interpret online experiments and A/B tests to improve user outcomes.
You have experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks.
You are experienced building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms.
We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.
