Talantix.io
Remote Position•07.03.26
AI SCORE 8.5

Senior Machine Learning Scientist - Remote

$140K–$200K/year
RemoteAI & Machine Learning
Python•AWS•PyTorch•scikit-learn•Machine Learning•Data Engineering

About the Role

We are seeking a Senior Machine Learning Scientist to join our innovative team in a fully remote capacity. As a Senior Machine Learning Scientist, you will leverage your expertise in machine learning and data science to develop cutting-edge solutions that enhance our products and services. This role offers an exciting opportunity to work with advanced technologies and contribute to impactful projects in the AI domain.

What You'll Do

  • Design and implement machine learning models using Python, AWS, and frameworks such as PyTorch and Scikit-learn.
  • Collaborate with cross-functional teams to integrate machine learning solutions into our SaaS products.
  • Conduct data analysis and preprocessing to ensure high-quality input for machine learning algorithms.
  • Lead projects focused on AI-augmented technologies and Bayesian modeling.
  • Provide mentorship and guidance to junior data scientists and machine learning engineers.

Requirements

  • 5+ years of experience as a Machine Learning Scientist or in a similar role.
  • Proficiency in Python and experience with machine learning libraries such as PyTorch and Scikit-learn.
  • Strong background in data engineering and data science principles.
  • Experience with AWS services, particularly AWS SageMaker.
  • Excellent problem-solving skills and the ability to work independently in a remote environment.

Nice to Have

  • Experience in sales training, facilitation, or coaching.
  • Familiarity with agile development methodologies.
  • Knowledge of go-to-market (GTM) processes and sales enablement strategies.

What We Offer

  • Remote-first culture promoting work-life balance.
  • Health care coverage and wellness programs.
  • Generous paid time off and self-care days.
  • Education reimbursement and professional development opportunities.
  • Parental leave and retirement plan with contributions.
  • Paid volunteer time and charitable contribution matching.
  • Access to mental health resources.
  • Flexible work arrangements.
  • Inclusive company culture valuing diversity.
  • Competitive salary and performance-based bonuses.
Why This Job8.5 of 10

This Senior Machine Learning Scientist role offers a unique opportunity to work remotely with cutting-edge technologies in AI. The competitive salary and comprehensive benefits make it an attractive position for experienced professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and experienced with libraries such as PyTorch and scikit-learn, with a strong ability to implement and optimize machine learning algorithms in production environments.

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Self-motivated and disciplined to thrive in a fully remote work setting, demonstrating excellent time management skills and the ability to collaborate effectively with distributed teams using tools like Slack and Zoom.

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Deep understanding of cloud environments, especially AWS, with hands-on experience in deploying machine learning models and managing data pipelines, paired with a strong analytical mindset to derive insights from complex datasets.

Learning Resources

→Python for Data Science and Machine Learning Bootcampcourse
→AWS Machine Learning Documentationguide
→Deep Learning with PyTorch: A 60 Minute Blitzarticle

Career Path

Senior Machine Learning Scientist(Now)→Lead Machine Learning Engineer(1-2 years)→Director of AI/ML Innovation(3-5 years)

Market Overview

Market Size 2024
$37B
Annual Growth
22.5%
AI Adoption
60%
Investment
+150%
Labour Demand
+30%
Avg Salary
$145K

Skills & Requirements

Required
PythonAWSPyTorch
Growing in Demand
TensorFlowNatural Language Processing (NLP)Big Data Technologies (e.g., Apache Spark)
Declining
MATLABR

Domain Trends

Increased Demand for Explainable AI
Businesses are prioritizing transparency in AI models, with 45% of companies investing in explainable AI solutions to improve trust and compliance.
Integration of Machine Learning in Edge Computing
By 2025, 30% of data processing will occur at the edge, leading to a surge in demand for machine learning models that operate efficiently in edge environments.
Rise of Automated Machine Learning (AutoML)
The AutoML market is projected to grow by 40% annually, as organizations seek to democratize machine learning capabilities across teams.

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