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Remote Machine Learning Finance Jobs in Austin, TX

Enverus

Staff Software Engineer - 26218

Austin, TX · On-site +1

... and financial institutions. Our solutions create more efficient production and distribution ... Our platform combines distributed systems, machine learning, complex power flow analysis and ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Law Firm

Be Seen First

Patent Agent

Austin, TX · Remote

$180K - $225K/yr

Fully Remote Position! Excellent Compensation and Benefits! Billable Hours: 1,400/year National law ... and machine learning/artificial intelligence technologies. Experience with medical device ...

New

Self Financial, Inc.

Senior DevOps Engineer

Austin, TX · On-site +1

$130K - $160K/yr

Experience with MLOps (DevOps for Machine Learning) Base salary range: $130,000 - $160,000 annually ... Remote work arrangements/ flexible work schedule * Paid parental leave Self Financial requires all ...

Amat

Global Trade Analyst

Austin, TX · On-site +1

$92K - $126K/yr

Data Analysis, Financial Reporting, and Insights * Design and develop data modelsoptimizedfor ... Apply predictive analytics and machine learning models to generate forward-looking insights

YO AI Labs

SolidWorks Expert - Remote

Austin, TX · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Kake Group

Senior Software Engineer

Austin, TX · Remote

$125K - $165K/yr

Ability to work independently in a remote environment Nice to Have * Experience working on AI, machine learning, or LLM-related projects * Familiarity with software quality assurance methodologies or ...

ZipRecruiter

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

... owning data pipelines for machine learning models and AI powered features, including ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

New

AgileEngine

Senior Data Engineer ID75059

Austin, TX · On-site +1

$105K - $142K/yr

... large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines ... machine learning initiatives and advanced analytics; - Act as a technical consultant for ...

ZipRecruiter

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

... owning data pipelines for machine learning models and AI powered features, including ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

New

Varsity Tutors

Business Analytics Tutor

Austin, TX · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... finance, and supply chain applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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All JobsMachine Learning Finance JobsRemote Machine Learning Finance JobsRemote Machine Learning Finance Jobs in Austin, TX

Remote Machine Learning Finance information

See Austin, TX salary details

$24.8K

$91.8K

$134.3K

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

As of Aug 15, 2026, the average yearly pay for remote machine learning finance in Austin, TX is $91,817.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $108,000.00 per year, depending on experience, location, and employer.

How do remote machine learning finance professionals 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 are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

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.

What is a remote machine learning finance professional?

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.

What are the most commonly searched types of Machine Learning Finance jobs in Austin, TX?

The most popular types of Machine Learning Finance jobs in Austin, TX are:

What are popular job titles related to Remote Machine Learning Finance jobs in Austin, TX?

For Remote Machine Learning Finance jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Finance jobs in Austin, TX look for?

The top searched job categories for Remote Machine Learning Finance jobs in Austin, TX are:

Remote Machine Learning Finance jobs near you
Infographic showing various Remote Machine Learning Finance job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $91,817 per year, or $44.1 per hour.

Staff Software Engineer - 26218

drillinginfo

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago

Job description

Description
Backend Platform Engineer (Staff / Principal Level)
Why YOU want this position
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
As part of the Power & Energy Transition business unit, you'll work on systems that support congestion analysis, forecasting, and grid optimization for renewable energy markets. Our platform combines distributed systems, machine learning, complex power flow analysis and optimization models with high-throughput data processing to deliver critical insights in real time.
We're looking for engineers who enjoy solving difficult infrastructure and platform problems while collaborating closely with product, data science, and domain experts.
The Team:
As part of the Marginal Unit Team, you will be a key contributor to the fastest growing product line at Enverus. We pair complex algorithms and machine learning with powerful computational infrastructure and an intuitive UI that is unmatched in the industry. Small, fast paced, and highly collaborative, this team values engineers who enjoy tackling difficult technical and domain problems while continuously learning from one another.
Engineers on this team own systems end-to-end, including architecture, implementation, observability, reliability, and operational support.
What You'll Do:
  • Integrate AI-powered infrastructure and capabilities into our products

  • Design and maintain high-throughput data ingestion and processing pipelines

  • Build and support complex computing algorithms and infrastructures

  • Take ownership of existing systems and services, redesigning them as necessary to reduce complexity or leverage new technologie

  • Lead architectural initiatives and influence engineering standards across team

Challenges You'll Face:
  • Highly complex domain (the power grid itself, and the markets that sit on top of it)

  • Continuously evolving solution stack on the frontier of AI development

  • Stability and observability of a distributed system involving dozens of semi-independent services

  • Maintaining performance while working with complex computations on large-scale real-time data

What you'll have:
  • BS in Computer Science, or equivalent experience

  • Significant experience working with data rich applications and pipelines

  • Experience learning and working in a highly complex domain (financial trading or power systems is a plus)

  • Proven success in delivering highly reliable and scalable software systems

  • Experience working within and optimizing systems that perform expensive computations

  • Experience building backend applications using Python, Go or Rust

  • Experience using Kafka, SQL and no-SQL databases

  • Familiarity with Kubernetes on GCP or AWS

Our Technology Stack:
  • Python, Go, Rust

  • MySQL, ClickHouse

  • Kubernetes, Docker, AWS, Argo

  • Grafana, Sentry, Honeycomb

  • Terraform, Pulumi

  • Claude, AWS Bedrock, Langchain, AgentCore

What We Offer
  • Fast paced environment with a strong team and interesting products

  • Competitive Compensation Package

  • Medical, Dental, and Vision Plan

  • Retirement Savings Plan 401(k)

Note
Scope and expectations will be calibrated based on experience level. Principal-level candidates are expected to drive technical strategy across multiple teams and influence architecture at organizational scale.
This role is eligible for: Variable Compensation
Salary Range: 170000

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