Remotery

Senior Machine Learning Engineer, Applied AI Modeling

atMozillaRemoteUS flagUnited StatesFull-timeMachine Learning EngineerSenior$139k – $218k/year

Posted Jun 19

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and optimize large language models (LLMs) to facilitate intelligent, safe, and responsive interactions within browsers.

• Implement retrieval-augmented generation (RAG), summarization, classification, and intent modeling techniques in practical browser workflows.

• Utilize contemporary ML tools (such as Hugging Face, LangChain, Weights & Biases, Ray, or similar) to aid in comprehensive model development, encompassing experimentation, evaluation, and deployment.

• Work collaboratively with product and engineering teams to design, refine, and launch features that meet user requirements and reflect Mozilla’s core values.

• Create and conduct experiments to assess model performance in production, analyze outcomes, and iterate based on insights gained.

• Document and communicate your contributions, engaging in code reviews and team design discussions.


⛳️ Requirements

• A minimum of 4 years of experience in applied machine learning, particularly in natural language processing or generative AI.

• Practical experience in fine-tuning and assessing LLMs utilizing modern tools and open-source libraries.

• Strong grasp of prompt engineering, embedding-based retrieval, and evaluation methodologies for generative applications.

• Experience with ML tools to oversee the complete lifecycle of model development—from data exploration to production-ready artifacts.

• Proven track record in developing user-centric AI features, especially where privacy, latency, and usability are of utmost importance.

• Excellent communication skills and capacity to collaborate effectively with multi-functional teams in a distributed setting.

• A strong commitment to our values: Embracing differences, Being relationship-focused, Practicing responsible participation, and Demonstrating resilience.


🏝️ Benefits

• Generous performance-based bonus plans available to all eligible employees—sharing in our success as one unified team.

• Comprehensive medical, dental, and vision coverage.

• Generous retirement contributions with 100% immediate vesting (regardless of personal contributions).

• Quarterly wellness days for the entire company, allowing everyone to take a collective pause.

• Country-specific holidays, in addition to a day off for your birthday.

• One-time stipend for home office setup.

• Annual budget for professional development.

• Quarterly well-being stipend.

• Significant paid parental leave.

• Employee referral bonus program.

• Additional benefits (life/AD&D, disability, EAP, etc.—varies by country).

People also viewed

SumerSports19 hours ago

Senior Deep Learning Engineer

US flagUnited States, +1 more stateFull-timeMachine Learning Engineer$155k – $185k/year
ApplyView job
Airbnb21 hours ago

Staff Machine Learning Engineer, Traffic Intelligence

US flagUnited States OnlyFull-timeMachine Learning Engineer$212k – $265k/year
ApplyView job
The Home Depot22 hours ago

Senior Machine Learning Engineer, Enterprise AI Systems

US flagUnited States OnlyFull-timeMachine Learning Engineer$100k – $180k/year
ApplyView job
NMDP1 day ago

Senior AI/ML Engineer

US flagMinnesota OnlyFull-timeMachine Learning Engineer
ApplyView job
Solvd, Inc.1 day ago

MLOps Engineer

AR flagArgentina, +4 more statesFull-timeMachine Learning Engineer
ApplyView job
PATH1 day ago

Machine Learning Specialist

CA flagCanada OnlyFull-timeMachine Learning Engineer
ApplyView job

Never miss a great job!

Get handpicked remote jobs straight to your inbox weekly.

Trusted by 7,400+ designers