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Remote Machine Learning Finance Jobs (NOW HIRING)

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

The Role We are looking for a Machine Learning Engineer to join our Artificial Intelligence and ... Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ...

Pluralsight LLC

Machine Learning Engineer

$121.60K - $160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

NSS

Machine Learning Engineer

Concord, NC · Remote

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

NSS

Machine Learning Engineer

Concord, NC · Remote

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Wings of Destiny

Machine Learning Engineer

Malibu, CA · Remote

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Role Overview We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

Hang draws from years of deep expertise in loyalty, game design, and finance with employees from ... This person will implement and develop machine learning models to enhance our platform ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Machine Learning Engineer We're seeking a skilled Machine Learning Engineer to build and deploy ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

TechBrains

Machine Learning Engineer

California, MO · On-site +1

... finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA ... LI-REMOTE[REMOVE THIS PORTION IF NOT APPLICABLE]We use Covey as part of our hiring and/or ...

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Remote Machine Learning Finance information

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$92.6K

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How much do remote machine learning finance jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote machine learning finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Finance professional, and why are they important?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

How do remote machine learning professionals in finance typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What is a Remote Machine Learning Finance job?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.
More about Remote Machine Learning Finance jobs
What cities are hiring for Remote Machine Learning Finance jobs? Cities with the most Remote Machine Learning Finance job openings:
What are the most commonly searched types of Machine Learning Finance jobs? The most popular types of Machine Learning Finance jobs are:
What states have the most Remote Machine Learning Finance jobs? States with the most job openings for Remote Machine Learning Finance jobs include:
What job categories do people searching Remote Machine Learning Finance jobs look for? The top searched job categories for Remote Machine Learning Finance jobs are:
Remote Machine Learning Finance jobs near you
Infographic showing various Remote Machine Learning Finance job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $92,631 per year, or $44.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Multi Media LLC

Remote

$180K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

About Multi Media, LLC
Multi Media LLC is the company behind Chaturbate, one of the most heavily trafficked live streaming platforms in the world. We support a global network of independent content creators and millions of real-time viewers, delivering interactive video at scale. Our infrastructure handles complex broadcasting, low-latency streaming, and high-engagement user experiences. All live, all the time.
We're building a platform where creators can express themselves freely and grow their communities, where viewers discover and interact with creators they're drawn to, and where the team behind it is challenged, trusted, and responsible for shaping the experience of millions of users around the world. We value people who take initiative, stay curious, and care deeply about the quality and impact of what they build.
The Role
We are looking for a Machine Learning Engineer to join our Artificial Intelligence and Machine Learning team. In this role, you will help build, maintain, and improve production grade machine learning systems that support search, recommendations, personalization, computer vision, predictive modeling, and AI-driven experimentation across a global-scale consumer platform.
This is a hands-on engineering role for someone who has experience building ML models and systems at scale, understands how to evaluate model performance in production contexts, and is excited to apply machine learning to practical product and business problems.
You'll partner closely with Data Scientists, Product, Engineering, and other cross-functional partners to translate product and business needs into scalable ML solutions that improve discovery, engagement, retention, and user experience.
You Will:
  • Build, maintain, and improve production machine learning systems that support search, recommendations, personalization, computer vision, and predictive modeling.
  • Contribute to search and discovery improvements, including ranking, filtering, relevance, exact match, boolean logic, and LLM-powered enhancements.
  • Develop and integrate machine learning models that improve recommendation quality, search accuracy, behavioral analytics, and personalized user experiences.
  • Write clean, reliable, and maintainable code for ML pipelines, model development, experimentation, and production workflows.
  • Work with large-scale datasets to train, evaluate, monitor, and improve ML systems.
  • Collaborate with Data Science, Product, Engineering, and other cross-functional partners to understand requirements, evaluate tradeoffs, and deliver ML solutions that create measurable product and business impact.
  • Participate in technical design discussions for ML systems, including model architecture, data pipelines, evaluation methods, deployment approaches, monitoring, and scalability.

Requirements
You have:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a similar technical field, or equivalent practical experience.
  • 3+ years of experience building, deploying, or maintaining machine learning systems in production environments.
  • Experience building ML models or systems at scale in areas such as search, recommender systems, personalization, computer vision, predictive modeling, or user-facing ranking systems.
  • Experience working on consumer-facing products where machine learning directly impacts user discovery, engagement, retention, or personalization.
  • Experience working with global-scale systems, high-traffic environments, or large-scale user behavior data.
  • Excellent Python programming skills.
  • Experience with common machine learning libraries, frameworks, and tooling, such as scikit-learn, PyTorch, TensorFlow, XGBoost, pandas, NumPy, or similar tools.
  • Ability to reason through ML system design, including data quality, model evaluation, performance tradeoffs, scalability, reliability, and monitoring.
  • Strong communication skills and experience partnering with Product, Engineering, Data Science, and other cross-functional partners to deliver practical ML solutions for complex product systems.

Bonus points:
  • Experience with search systems, ranking systems, recommendation engines, embeddings, or information retrieval.

Benefits
  • Fair and competitive base salary
  • Fully Remote Optional
  • Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the Company
  • Long & Short term disability insurance
  • Unlimited PTO
  • Annual Year-End Company Closure
  • Optional 401k with 5% matching
  • 12 Paid Holidays
  • Paid Lunches in-office, or if Remote, a $125/week stipend via Sharebite
  • Employee Assistance and Employee Recognition Programs
  • And much more!

The Base Salary range for this position is $180,000 - $200,000 USD. This range reflects base salary only and does not include additional compensation or benefits. The range displayed reflects the minimum and maximum range for a new hire across the US for the posted position. A candidate's specific pay will be determined on a case-by-case basis and may vary based on the candidate's job-related skills, relevant education, training, experience, certifications, and abilities of the candidate, as well as other factors unique to each candidate.
Please note: All offers from Multi Media, LLC are made only after a structured, multi-step recruiting process that includes live interviews, followed by a verbal offer before any written agreement is extended. Official communications, including from interviewers, will only come from email addresses ending in @multimediallc.com.
Multi Media, LLC is an equal opportunity employer and strives for diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage people from underrepresented groups to apply!

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