For years, machine learning (ML) models have been the key, differentiating technology at Upstart ... As a Staff Model Risk Specialist at Upstart, you will independently execute core components of the ...
For years, machine learning (ML) models have been the key, differentiating technology at Upstart ... As a Staff Model Risk Specialist at Upstart, you will independently execute core components of the ...
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Teaching & Learning Specialist (Teaching & Learning Team/TLT)
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Applied Machine Learning Research Engineer - Multimodal for Human Understanding
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... specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts. • Research and evaluate new machine learning ...
Senior Machine Learning Operations Engineer
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... specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts. • Research and evaluate new machine learning ...
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Software Engineer / Machine Learning - Senior iN 2 STEM Solutions, Inc. is hiring staff to support ... We are engineers, scientists, economists, project/program managers, operations specialists and ...
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... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...
Quick apply
... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...
... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...
... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...
... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...
Quick apply
... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...
Oracle Fusion Learning and Performance Specialist
$163K - $289K/yr
The Oracle Fusion Learning and Performance Specialist will leverage their strong technical ... Needs to occasionally move about inside the office to access file cabinets, office machinery, and ...
Oracle Fusion Learning and Performance Specialist
$163K - $289K/yr
The Oracle Fusion Learning and Performance Specialist will leverage their strong technical ... Needs to occasionally move about inside the office to access file cabinets, office machinery, and ...
... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...
Quick apply
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Work closely with specialists at Thorn to create data labeling guides and support labeling efforts ... You have 5+ years background in machine learning and/or artificial intelligence. You also have a Ph.
... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...
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Principal Machine Learning Engineer
Santa Barbara, CA · On-site +1
... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... Traditional Machine Learning, Deep Learning, and Generative AI / LLMs (prompting, fine-tuning, RAG ...
Machine Learning Specialist information
See salary details
$20.5K - $27.5K
5% of jobs
$27.5K - $34.4K
9% of jobs
$38.4K is the 25th percentile. Wages below this are outliers.
$34.4K - $41.4K
18% of jobs
The median wage is $48.1K / yr.
$41.4K - $48.3K
18% of jobs
$48.3K - $55.3K
14% of jobs
$59.7K is the 75th percentile. Wages above this are outliers.
$55.3K - $62.2K
17% of jobs
$62.2K - $69.2K
5% of jobs
$69.2K - $76.1K
5% of jobs
$76.1K - $83.1K
3% of jobs
$83.1K - $90K
3% of jobs
$90K - $97K
2% of jobs
$20.5K
$53.9K
$97K
How much do machine learning specialist jobs pay per year?
What is a machine learning specialist?
A Machine Learning Specialist is a professional who designs, develops, and implements machine learning models and algorithms to solve complex problems. They work with large datasets, use statistical and computational techniques, and optimize models for accuracy and efficiency. Their role often involves data preprocessing, feature engineering, model selection, and deployment. They collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into business applications.
What are the key skills and qualifications needed to thrive as a machine learning specialist?
To thrive as a Machine Learning Specialist, you need a strong background in mathematics, programming (Python, R), and data analysis, typically supported by a relevant degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and knowledge of cloud platforms like AWS or Azure is highly valued, and certifications in these can enhance your qualifications. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly make someone stand out in this field. These skills and qualifications are crucial for effectively developing, deploying, and explaining machine learning solutions to diverse stakeholders.
What are some common challenges a machine learning specialist might face?
Machine Learning Specialists often encounter challenges such as ensuring data quality, selecting appropriate algorithms, and scaling solutions for real-world application. Navigating the complexities of messy or incomplete datasets and tuning models for optimal performance can be demanding. Balancing innovation with practical deployment constraints, such as computational resources and integration with existing systems, is also common. To address these challenges, collaboration with data engineers, domain experts, and product teams is essential, and ongoing professional development helps specialists stay ahead in this rapidly evolving field.
Is machine learning a high paying job?
What cities are hiring for Machine Learning Specialist jobs?
Cities with the most Machine Learning Specialist job openings:
Who are the top companies hiring for Machine Learning Specialist jobs?
The top employers for Machine Learning Specialist jobs are:
What states have the most Machine Learning Specialist jobs?
States with the most job openings for Machine Learning Specialist jobs include:
What job categories do people searching Machine Learning Specialist jobs look for?
The top searched job categories for Machine Learning Specialist jobs are:
- Data Analyst Machine Learning
- Senior Data Scientist Citizen
- Machine Learning Testing
- Helper Reinforcement Learning
- Flexible Data Science
- Temporary Data Scientist Machine Learning
- H1B Machine Learning
- Healthcare Machine Learning
- Full Time No Experience Machine Learning
- Freelance Data Scientist Machine Learning

$100K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 19 days ago
Upstart rating
7.6
Based on 6 frontline employees who took The Breakroom Quiz
Job description
At Upstart, we're united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.
As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that's both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.
We're proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn't mean distant. We're intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you'll have the support to work in the way that works best for you.
If you're energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we'd love to hear from you.
The Team:
Upstart's Model Risk team is responsible for ensuring that the risk of models - including all models impacting the new Upstart Bank - is well-understood, monitored, and mitigated. For years, machine learning (ML) models have been the key, differentiating technology at Upstart and an exciting area of focus for the team, but we are also expanding our scope to include all modeling methodologies and Generative AI applications across the Bank. This work is essential for Upstart's internal risk management, ensuring that our models help us make better decisions and maintain credibility with external stakeholders such as our regulators and capital providers. The team's focus is on articulating sound model risk management principles and implementing them in collaboration with our peers on Upstart's Risk and Machine Learning teams. This work also includes explaining our models to stakeholders, supporting external validations, and conducting analyses to reinforce our goals.
As a Staff Model Risk Specialist at Upstart, you will independently execute core components of the model risk management program supporting Upstart Bank. You will oversee risk across a diverse and growing inventory of models and Generative AI applications, including sophisticated machine learning models used in lending and other models supporting areas such as fraud, compliance, finance, capital and liquidity, servicing, and operational risk.
This presents a unique opportunity to help build a comprehensive model risk management program for a new bank. You will evaluate model and GenAI application documentation, monitoring, governance, and risk assessments while partnering with developers, business sponsors, and risk stakeholders to identify and address emerging risks. You will apply a risk-based approach across technologies that range from traditional statistical methods to advanced machine learning and GenAI systems, adapting your review to their different purposes, complexities, and risk profiles. You will also translate complex technical concepts into clear, decision-useful information for audiences with varying levels of technical expertise.
How you'll make an impact
- Partner with Machine Learning teams, GenAI application developers, business sponsors, and other stakeholders to maintain accurate inventories, risk assessments, documentation, monitoring reports, and supporting governance materials for models and GenAI applications affecting Upstart Bank.
- Review methodologies, assumptions, data inputs, system designs, performance measures, controls, and limitations to provide effective challenge and identify areas requiring further analysis or remediation.
- Apply a risk-based approach to evaluate a broad range of quantitative methods and technologies, from traditional statistical and financial models to complex machine learning models and GenAI applications.
- Conduct and document model risk assessments, monitoring reviews, and targeted quantitative analyses that support internal policies and regulatory expectations.
- Help develop practical governance approaches for new and rapidly evolving technologies, particularly machine learning and GenAI applications for which risks, evaluation methods, and industry practices continue to evolve.
- Respond to model- and GenAI-related questions from regulators, lending partners, and other external stakeholders in collaboration with Machine Learning, business teams, Legal, Compliance, and partner-facing teams.
- Track model risk issues, remediation plans, program goals, and emerging risks, escalating material findings and recommending practical improvements as the Bank's model inventory and use cases continue to expand.
Minimum Qualifications
- Master's degree in quantitative field such as finance, mathematics, economics, statistics or a related discipline
- 4+ years of experience in model risk management, model validation, model governance, machine learning, data science, quantitative risk, AI governance, or a related technical risk function.
- Internship or project experience related to model risk management, model validation, machine learning, or data science.
- Basic understanding of AI/ML methodologies such as tree-based models and neural networks.
- General familiarity with GenAI applications.
- Experience coding in R, Python, or similar languages such as Matlab
Preferred Qualifications
- PhD in a quantitative field of study such as statistics, econometrics, finance, mathematics; or a related discipline
- 5+ years of experience in model risk management or model governance, or related fields such as ML and Data Science, Risk, Trust and Safety, or Technical Writing
- Familiarity with GenAI applications, including evaluation approaches, prompt and system design, retrieval-augmented generation, tool use, guardrails, and ongoing monitoring.
- Experience assessing models used outside of credit underwriting, such as models supporting fraud, compliance, finance, capital and liquidity, servicing, operational risk, or financial reporting.
- Strong communication skills: ability to adapt technical information to varying needs and audiences, and managing trade-offs such as providing modeling detail while protecting intellectual property
- Proactive mindset with the ability to take initiative
- Understanding of advanced AI/ML topics such as model monitoring, fairness, and explainability
- Advanced coding skills in R, Python, and SQL, and experience using Git
- Interest in or knowledge of consumer lending, credit risk, model fairness, explainability, or the use of machine learning and GenAI in a regulated environment.
Position location This role is available in the following locations: Remote
Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.
#LI-REMOTE
#LI-MidSenior
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location-with our "digital first" philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
United States | Remote - Anticipated Base Salary Range
$157,000-$217,500 USD
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location-with our "digital first" philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
Canada | Remote - Anticipated Base Salary Range
$140,300-$175,000 CAD
What you'll love
At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here's what you can expect:
- Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
- Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)
- Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
- Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada.
- Health Savings Account contributions from Upstart for eligible plans (US only)
- Income protection benefits, including life insurance and disability coverage for added financial security
- Paid time off, sick leave, and company holidays, in line with local requirements
- Paid family and parental leave to support caregiving and major life moments (duration varies by country)
- Family-centered benefits to support fertility, parenthood, and caregiving needs
- Employee Assistance Program (EAP) offering mental health support and life-centered resources
- Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)
- Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you
- Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
- Connection and community through team events, all-company updates, and employee resource groups (ERGs)
- Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!)
For roles based in Canada, please note that we are not currently able to hire in Quebec.
Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com
https://www.upstart.com/candidate_privacy_policy