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Overnight Remote Machine Learning Jobs (NOW HIRING)

SmarterDx

Senior Software Engineer, Machine Learning

$190/hr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven features across multiple products * Design reusable architecture that powers and accelerates machine ...

SmarterDx

Staff Software Engineer, Machine Learning

$260K/yr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven features across multiple products * Design reusable architecture that powers and accelerates machine ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning ...

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Overnight Remote Machine Learning information

What are the key skills and qualifications needed to thrive as an Overnight Remote Machine Learning Engineer, and why are they important?

To thrive as an Overnight Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid background in statistics and algorithms, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, experience with cloud platforms like AWS or GCP, and knowledge of version control systems are typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial soft skills for remote and overnight work schedules. These competencies ensure that you can efficiently develop, deploy, and monitor machine learning models independently while collaborating across time zones.

What are some common challenges faced by overnight remote machine learning professionals, and how can they be addressed?

Overnight remote machine learning professionals often encounter challenges like coordinating with daytime teams across different time zones, maintaining effective communication, and managing alertness during non-traditional hours. To address these, it's helpful to establish clear communication protocols, use collaboration tools for asynchronous updates, and set a structured sleep and work routine to ensure productivity. Additionally, leveraging automated monitoring and robust documentation helps in managing handoffs and reducing errors during shift changes.

What are Overnight Remote Machine Learning jobs?

Overnight Remote Machine Learning jobs are positions where professionals work on machine learning tasks outside of traditional office hours, typically during the night, and do so from a remote location. These roles may involve building models, analyzing data, or maintaining machine learning systems while collaborating with teams in different time zones or providing 24/7 support. Overnight shifts can be critical for companies with global operations or those that require continuous system monitoring. Working remotely allows for flexibility and access to a wider talent pool. These positions often require strong programming and analytical skills, as well as the ability to work independently with minimal supervision.

What is the difference between Overnight Remote Machine Learning vs Data Scientist?

AspectOvernight Remote Machine LearningData Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; certifications like AWS, TensorFlowBachelor's or higher in CS, Statistics, or related fields; advanced degrees common
Work EnvironmentRemote, overnight shifts, focused on model deployment and data pipelinesOffice or remote, standard hours, focused on data analysis and model development
Industry UsageTech, finance, healthcare companies with 24/7 operationsResearch, tech, consulting firms, often with flexible hours

Overnight Remote Machine Learning roles typically focus on deploying models and maintaining data pipelines during overnight hours, often requiring specific certifications and remote work setups. Data Scientists usually work during regular hours, concentrating on data analysis, model development, and research. Both roles are vital in tech-driven industries but differ mainly in work hours, environment, and focus areas.

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Overnight Remote Machine Learning jobs near you
Senior Software Engineer, Machine Learning

Senior Software Engineer, Machine Learning

SmarterDx

Remote

$190/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.
Role
We are looking for a Senior Machine Learning Engineer to help us build a best in class ML Ecosystem to advance our product suite with clinical AI. The ideal candidate works exceptionally well across disciplines and delivers high quality outcomes continuously, with a relentless focus on reliable systems and developer experience.
**This role is fully remote within the US**
What You'll Do
  • Build and scale machine-learning driven features across multiple products
  • Design reusable architecture that powers and accelerates machine learning development across the company
  • Deploy and maintain machine learning models and pipelines in production environments.
  • Work closely with data scientists, data engineers, and application engineers to integrate ML models into the broader SmarterDx platform.
  • Build tools to improve the lives of our data scientists.
  • Contribute to the design and architecture of our ML systems.

What You Bring
    • 5+ years of development experience with a focus on Machine Learning and Engineering roles
    • Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)
    • Experience with managing the full model production lifecycle, including deployment, release, and post-launch monitoring
    • Experience working with a diverse, cross-disciplinary team to integrate machine learning into product features
    • Experience with cloud platforms (preferably AWS) and their machine learning services.
    • Experience project managing a small team using a modern agile methodology
    • Experiencing influencing a cross-disciplinary organization to adopt best practices
    • Strong understanding of data engineering and architecture principles.
    • Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.

Nice To Haves
  • You're a former startup founder, or have been the first engineering hire at a startup
  • Experience in the health tech domain, particularly in hospital billing systems
  • Experience with end-to-end machine learning project lifecycle, from data collection and model training to deployment and monitoring.
  • Deployment of LLM systems into Production environments.
  • Contributions to open-source projects or active participation in the machine learning community.

Our Tech Stack
  • Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, Sagemaker, Terraform, K8s
Compensation
$190-220k base salary
#LI-Remote
#LI-DNI
Benefits
  • Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
  • Paid Parental Leave - Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
  • Remote-First Team - Work from anywhere in the U.S.
  • Unlimited PTO & 10 Holidays - So you can relax and recharge.
  • 401(k) with Traditional & Roth Options - Tax-advantaged retirement savings through Fidelity with a 4% match.
  • Minimal Bureaucracy - A fast-moving, high-impact environment where you can focus on what matters.
  • Incredible Teammates! - Work alongside smart, supportive, and mission-driven colleagues.

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