Remote Jobs

Machine Learning Scientist

Coursera

Location
India
Posted

Join Coursera's Discovery Science ML team to develop personalized search and recommender systems

MyFitnessPal logo

Staff Machine Learning Engineer

MyFitnessPal

Location
United States of America
Posted
Salary Range
170k - 215k USD

Lead the technical implementation of AI products at MyFitnessPal, mentor teams, and design scalable ML systems to enhance user engagement and improve product quality using recommendation systems, search features, NLP, LLMs, and deep learning.

Senior Machine Learning Scientist

Coursera

Location
India
Posted

Join Coursera's Discovery Science ML team to develop hyper-personalized recommender systems using machine learning techniques.

Quora logo

Staff Machine Learning Engineer - Poe

Quora

Location
Canada
Posted
Salary Range
218k - 276k USD

Develop cutting-edge ML systems for Quora's Poe platform, focusing on NLP, search, and recommendation systems. Lead impactful projects and collaborate with a global team to enhance AI-driven features.

Inworld AI logo

Staff / Principal Machine Learning Engineer

Inworld AI

Location
Canada
Posted
Salary Range
200k - 300k CAD

Build generative AI products using LLMs, develop scalable NLP models, and work with cutting-edge ML techniques in a dynamic team environment.

Machine Learning Engineer

Coursera

Location
India
Posted

Join Coursera's Machine Learning team and contribute to creating personalized learning experiences through AI-powered technologies.

KoBold Metals logo

Machine Learning Engineer, Staff or Principal

KoBold Metals

Location
Canada
Posted
Salary Range
200k - 275k USD

Build ML systems for mineral exploration at KoBold. Collaborate with data scientists and geologists to predict ore locations using advanced tools and techniques.

Loka, Inc logo

Machine Learning Lead

Loka, Inc

Location
Macedonia, Republic of
Posted

Machine Learning Team Lead for scalable ML models, data exploration, model development, deployment, and scaling in production environments.

Databricks logo

Manager (Machine Learning)

Databricks

Location
India
Posted

Lead Machine Learning Practice team in India, manage hiring & growth, drive business value through ML

Databricks logo

Manager - Machine Learning

Databricks

Location
India
Posted

Lead Machine Learning Practice team in India, manage hiring & growth, drive business value through ML

ElevenLabs logo

Machine Learning Researcher

ElevenLabs

Location
Anywhere in the world
Posted

Join ElevenLabs as an ML Researcher and contribute to shaping the future of voice technology with cutting-edge research and innovative solutions.

Welocalize logo

AI Machine Learning Engineer

Welocalize

Location
Romania
Posted

Develop machine learning solutions for localization and business workflow processes using Python and AWS services.

Welocalize logo

AI Machine Learning Engineer

Welocalize

Location
Spain
Posted

Develop and implement machine learning models for localization and business workflow processes using Python and AWS services.

Welocalize logo

AI Machine Learning Engineer

Welocalize

Location
Greece
Posted

Machine Learning Engineer for localization and business workflow processes using AWS services and Docker

hims & hers logo

Lead Machine Learning Engineer

hims & hers

Location
United States of America
Posted
Salary Range
190k - 230k USD

Lead Machine Learning Engineer with 10+ years of experience in Engineering and/or Machine Learning

Superside logo

Lead Machine Learning Engineer

Superside

Location
Cameroon
Posted

Lead Machine Learning Engineer for scalable data pipelines and AI integration at Superside

Reddit logo

Senior Staff Machine Learning Engineer - Ads Measurement

Reddit

Location
United States of America
Posted
Salary Range
266k - 372k USD

Lead identity resolution systems using ML techniques; collaborate with cross-functional teams to enhance ad measurement capabilities. Drive architectural decisions and mentor junior engineers while ensuring compliance with privacy requirements.

Twilio logo

Principal Machine Learning Engineer

Twilio

Location
Colombia
Posted

As a Principal Machine Learning Engineer at Twilio, you will leverage AI and machine learning to drive innovation and efficiency across our services. Collaborate with cross-functional teams to develop cutting-edge solutions using Python, SQL, R, AWS, and other tools.

Workiva logo

Staff Applied Machine Learning Scientist

Workiva

Job Summary

Workiva is seeking a Staff Applied Machine Learning Scientist to join their innovative team. The role involves delivering high-quality technology solutions, guiding teams through complex challenges, and defining the medium-to-long-term technical strategy for impactful ML initiatives. As an applied machine learning scientist, you will own and deliver high-quality ML solutions that drive business impact and align with team objectives. You will collaborate with stakeholders to define project goals, solve ambiguous problems, and lead technical initiatives. The ideal candidate should have a strong background in machine learning, Python, R, or similar programming languages, and experience with MLOps practices and cloud platforms. Workiva offers a competitive salary range of $129k-$207k per year, along with benefits such as a discretionary bonus, restricted stock units, and comprehensive employee benefits package.

Workiva is seeking a Staff Applied Machine Learning Scientist to join our innovative team. In this role, you will deliver high-quality technology solutions, guide teams through complex challenges, and play a pivotal role in defining the medium-to-long-term technical strategy for impactful ML initiatives. If you excel in solving ambiguous problems, thrive in collaborative environments, and are passionate about applying machine learning to deliver business value, this opportunity is for you.

Join us to tackle cutting-edge challenges and make an impact through innovative machine learning applications.

What You’ll Do

  • Own and deliver high-quality ML solutions that drive business impact and align with team objectives

  • Develop and maintain scalable infrastructure and libraries for machine learning applications

  • Collaborate with stakeholders to define project goals and solve ambiguous, open-ended problems

  • Lead technical initiatives, defining blueprints for complex projects involving cross-functional teams

  • Mentor and guide team members, fostering a collaborative and high-performing team environment

  • Establish and promote best practices in MLOps, cloud infrastructure, and operational processes as it relates to model development and serving

  • Write, review, and maintain efficient, testable, and adaptable code

  • Proactively optimize existing systems, reducing technical debt and ensuring scalability

  • Contribute to strategic planning for ML-driven initiatives and influence the team’s technical direction

What You’ll Need

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Data Science, or related field, or equivalent experience

  • 4+ years of professional experience in applied machine learning or AI science

  • Proficiency in designing, implementing, and deploying ML solutions

  • Expertise in Python, R, or similar programming languages

  • Experience with MLOps practices and cloud platforms (AWS, Azure, GCP)

Preferred Qualifications 

  • Advanced degree (Master’s or PhD) in a relevant field

  • Experience leading ML modeling and solution projects, including tuning/training LLM/SLMs

  • Effective problem-solving skills and ability to address complex technical challenges

  • Excellent communication and collaboration abilities across teams

  • Familiarity with TensorFlow, PyTorch, or Scikit-learn

  • Knowledge of APIs and integration frameworks for scalable solutions

  • Proven ability to mentor junior team members and establish best practices

  • Experience optimizing systems for efficiency and scalability

  • Strong understanding of customer needs and translating them into actionable ML solutions

  • Excellent problem-solving skills and ability to navigate ambiguous technical challenges

  • Effective communication and collaboration skills with a track record of working across teams

Travel Requirements and Working Conditions

  • Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests 

  • Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements

How You’ll Be Rewarded

✅ Salary range in the US: $129,000.00 - $207,000.00

✅ A discretionary bonus typically paid annually

✅ Restricted Stock Units granted at time of hire

✅ 401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Workiva is an Equal Employment Opportunity and Affirmative Action Employer.  We believe that great minds think differently.  We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation.  Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic.  We strongly encourage and welcome people from historically marginalized groups to apply.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email [email protected].  

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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