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Remote Finance Startup Jobs in Washington (NOW HIRING)

PerformYard

Product Manager

Arlington, VA · Remote

This is a 100% remote position-now & forever Requirements What you'll do: * Own and drive specific ... Startup technology company experience, preferably for a SaaS offering. * Experience working in a ...

PerformYard

Product Manager

Arlington, VA · Remote

This is a 100% remote position--now & forever Requirements What you'll do: * Own and drive specific ... Startup technology company experience, preferably for a SaaS offering. * Experience working in a ...

PerformYard

Product Manager

Arlington, VA · On-site +1

This is a 100% remote position-now & forever Requirements What you'll do: * Own and drive specific ... Startup technology company experience, preferably for a SaaS offering. * Experience working in a ...

Dutch

GM, Insurance

Washington, DC · Remote

$55K - $76K/yr

... up of successful startup founders (Hims, PlushCare, Nasty Gal) with expertise in scaling ... Please note this is a fully remote role, but you must reside in Canada OR any of the following ...

Mondo

AI Product Manager

Centreville, VA · Remote

$140K - $150K/yr

Remote (U.S. Based) Start Date Is: ASAP Employment Type: Permanent Compensation Range: $140,000-150 ... Background working within AI Innovation Labs, Emerging Technology teams, or startup environments

Booz Allen Hamilton, Inc.

AI Deployment Lead

Washington, DC · On-site +1

$86K - $198K/yr

Remote Work: Yes Job Number: R0246677 Location: Washington,DC,US Share job via: Share AI Deployment ... We are looking for a startup-minded AI Deployment Lead with hands-on experience designing agent and ...

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All JobsFinance Startup JobsRemote Finance Startup JobsRemote Finance Startup Jobs in Washington

Remote Finance Startup information

What are the key skills and qualifications needed to thrive in a remote finance startup, and why are they important?

To thrive in a remote finance startup, you need a solid understanding of financial principles, accounting, and business operations, often supported by a degree in finance, accounting, or a related field. Familiarity with cloud-based financial tools like QuickBooks, Xero, or Excel, as well as experience with startups' financial management systems, is highly valuable. Strong self-motivation, communication skills, and adaptability are critical for collaborating with distributed teams and navigating the fast-changing startup environment. These competencies ensure effective financial management, seamless remote collaboration, and agile responses to evolving business needs.

What is the difference between Remote Finance Startup vs Remote Financial Analyst?

AspectRemote Finance StartupRemote Financial Analyst
Required CredentialsFinance degree, relevant certifications (e.g., CFA), startup experienceFinance degree, certifications often preferred (CFA, CPA)
Work EnvironmentFast-paced, innovative, flexible remote setupStructured, analytical, remote or hybrid options
Employer & Industry UsageStartups, fintech, early-stage companiesCorporations, consulting firms, investment firms
Search & Comparison IntentUnderstanding startup finance roles, remote startup jobsFinancial analysis, remote finance roles in established firms

Remote Finance Startup roles focus on dynamic, innovative environments within startups, requiring adaptability and startup-specific finance skills. Remote Financial Analysts typically work in more structured settings, analyzing financial data for established companies. Both roles often require finance credentials, but the work environment and industry focus differ significantly.

What is a remote finance startup?

A remote finance startup is a newly established company in the finance sector that operates primarily or entirely online, allowing its employees to work from any location rather than a centralized office. These startups typically offer financial services or products such as digital banking, payment processing, investment platforms, or financial planning tools. By leveraging remote work, they can access a broader talent pool, reduce overhead costs, and often provide more flexible services to customers. Remote finance startups use technology to streamline operations and enhance customer experiences in the financial industry.

What are some common challenges faced when working at a remote finance startup, and how can new hires prepare for them?

Working at a remote finance startup often means adapting to a fast-paced, rapidly changing environment where processes are still being built. New hires may face challenges such as managing time across different time zones, communicating effectively with team members virtually, and prioritizing tasks in a less structured setting. To succeed, it's important to be proactive in communication, comfortable with digital collaboration tools, and adaptable to shifting priorities. Embracing a self-starter mindset and seeking regular feedback can help you integrate quickly and make impactful contributions.

What are the most commonly searched types of Finance Startup jobs in Washington?

The most popular types of Finance Startup jobs in Washington are:

What are popular job titles related to Remote Finance Startup jobs in Washington?

For Remote Finance Startup jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Finance Startup jobs in Washington look for?

The top searched job categories for Remote Finance Startup jobs in Washington are:

What cities in Washington are hiring for Remote Finance Startup jobs?

Cities in Washington with the most Remote Finance Startup job openings:

Remote Finance Startup jobs near you
Infographic showing various Remote Finance Startup job openings in Washington as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Engineer

Clearview AI, Inc.

Washington, DC • Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description


Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team. To learn more about us, and our revolutionary facial recognition technology, please visit www.clearview.ai.

Senior Machine Learning Engineer


Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models, not manage a team. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists.

Responsibilities:
  • Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production
  • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning
  • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale
  • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks
  • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies
  • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration
  • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code
  • Implement efficient, scalable data pipelines and inference infrastructure
  • Develop high-performance tooling in ML and data engineering
  • Additional duties and responsibilities as reasonably required by the employee's supervisor or CEO
Requirements:
  • Experience building, training, evaluating, and deploying ML models in production
  • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models
  • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets
  • Ability to solve open-ended problems and quickly learn new domains
  • Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints
  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience

Nice to have:
  • Experience inferring structured, real-world attributes from images
  • Experience training models on large-scale, real-world image datasets
  • Familiarity with vision-language models (VLMs)
  • Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code
  • Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance
  • Experience in an ML role at a growth-stage startup
  • Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV)
  • Medical, Dental, Vision, STD and LTD Plans
  • FSA - Medical and Dependent Care
  • EAP and wellness programs
  • 13 Paid Holidays
  • Unlimited PTO
  • Flexible work environment - 100% remote
  • 401(k) plan

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