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Weekend Vc Backed Startup Jobs (NOW HIRING)

Experience with Salesforce CRM * Experience with VC-backed startup ecosystems * Existing AWS partner network relationships * Experience with GenAI, DevOps, or FinOps solution selling Base salary ...

Senior Software Engineer

Los Angeles, CA · On-site

$130K - $200K/yr

On-site, Los Angeles, CA Salary: $130,000 - $200,000 Base + Competitive Equity About the Role A fast-scaling, VC-backed startup is building the data infrastructure for world-model AI, sitting at the ...

New

Senior Software Engineer

San Mateo, CA · On-site

$150 - $230/hr

We're a fast-moving, VC-backed startup building an AI-powered productfor enterprise teams. We work at the intersection of data, automation,and user-facing workflows, helping customers make faster ...

Senior Software Engineer

Manhattan, NY · Remote

$125K - $165K/yr

... a VC-backed startup or growth-stage environment preferred - Healthcare, mental health, or benefits platform experience is a plus - Strong product mindset and ability to collaborate closely with ...

Senior Software Engineer

Manhattan, NY · On-site +1

$134K - $177K/yr

... a VC-backed startup or growth-stage environment preferred - Healthcare, mental health, or benefits platform experience is a plus - Strong product mindset and ability to collaborate closely with ...

Showing results 41-60

Weekend Vc Backed Startup information

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How much do weekend vc backed startup jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for weekend vc backed startup in the United States is $24.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $27.64 per hour, depending on experience, location, and employer.

What is the difference between Weekend Vc Backed Startup vs Angel Investor?

AspectWeekend Vc Backed StartupAngel Investor
RoleEarly-stage company founder or team memberIndividual providing funding and mentorship to startups
CredentialsTypically entrepreneurs or professionals with industry experienceFinancial backing, industry knowledge, and mentorship skills
Work EnvironmentStartup environment, fast-paced, innovativeInvestment and advisory setting, less operational involvement
Industry UsageVenture capital-backed startups, early-stage companies

Weekend Vc Backed Startup founders are actively involved in building their companies, often working in dynamic startup environments. Angel Investors, on the other hand, primarily provide funding and mentorship without day-to-day operational roles. Both are key players in early-stage startup ecosystems but serve different functions.

More about Weekend Vc Backed Startup jobs
What cities are hiring for Weekend Vc Backed Startup jobs? Cities with the most Weekend Vc Backed Startup job openings:
What are the most commonly searched types of Vc Backed Startup jobs? The most popular types of Vc Backed Startup jobs are:
What states have the most Weekend Vc Backed Startup jobs? States with the most job openings for Weekend Vc Backed Startup jobs include:
What job categories do people searching Weekend Vc Backed Startup jobs look for? The top searched job categories for Weekend Vc Backed Startup jobs are:
Infographic showing various Weekend Vc Backed Startup job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $50,239 per year, or $24.2 per hour.

Applied AI Scientist/Researcher (Senior/Staff) - VC Backed Startups

SignalFire

New York, NY • On-site

Full-time

Posted 4 days ago


Job description

Join SignalFire's Talent Network for Senior/Staff Applied AI Scientist & Researcher Roles at VC-Backed Startups
This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring Applied AI Scientists and Researchers. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We're looking to connect with exceptional Senior and Staff Applied AI Scientists and Researchers who are excited about developing advanced AI capabilities, solving complex technical problems, and translating emerging research into differentiated products.
By joining SignalFire's Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We're looking for scientists and researchers who are:
✔ Passionate about advancing the capabilities and real-world applications of artificial intelligence
✔ Experienced in developing, adapting, and evaluating modern machine learning models
✔ Excited to translate research and experimentation into production-ready product capabilities
✔ Comfortable operating at the intersection of research, engineering, product, and customer needs
✔ Interested in solving open-ended technical problems in fast-moving startup environments
Typical Roles & Responsibilities
  • Research, develop, and evaluate machine learning methods that improve product capabilities and customer outcomes
  • Design experiments to test new model architectures, training approaches, data strategies, and system designs
  • Adapt foundation models through fine-tuning, post-training, prompt optimization, retrieval, or other techniques
  • Develop evaluation frameworks and benchmarks for model quality, reliability, safety, and performance
  • Build prototypes and proofs of concept that demonstrate the potential of emerging AI techniques
  • Partner with AI/ML engineers and software engineers to translate successful experiments into production systems
  • Improve model accuracy, reasoning, latency, efficiency, robustness, and cost
  • Curate, generate, and evaluate datasets used for training, fine-tuning, and model assessment
  • Investigate model failures, edge cases, and unexpected behavior to identify opportunities for improvement
  • Stay current with relevant research and determine which advances can create practical product value
  • Communicate findings, tradeoffs, and technical recommendations to product, engineering, and executive stakeholders
  • Mentor other scientists and contribute to the company's research culture, technical standards, and AI roadmap
  • Publish research, contribute to open-source projects, or represent the company within the broader technical community where appropriate

Common Qualifications
While each startup has its own hiring criteria, many Senior and Staff Applied AI Scientist and Researcher roles in our network look for:
  • 5+ years of experience in machine learning, artificial intelligence, applied research, or a related technical field
  • Strong foundation in deep learning, statistics, optimization, and experimental design
  • Experience developing or adapting models for real-world product applications
  • Expertise in one or more areas such as natural language processing, generative AI, computer vision, multimodal learning, reinforcement learning, recommendation systems, or speech
  • Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, or JAX
  • Experience with model training, fine-tuning, post-training, evaluation, or inference
  • Ability to design rigorous experiments and draw sound conclusions from incomplete or ambiguous results
  • Track record of translating research concepts into prototypes, production systems, or measurable product improvements
  • Ability to collaborate closely with research, engineering, product, and domain experts
  • Strong written and verbal communication skills, including the ability to explain complex technical concepts clearly
  • Staff-level candidates may be expected to define research direction, lead cross-functional initiatives, and influence broader AI strategy
  • Advanced degree in computer science, machine learning, statistics, mathematics, or a related field may be preferred, although equivalent applied experience may be considered

Technologies You Might Work With:
  • Languages & Frameworks: Python, PyTorch, TensorFlow, JAX, Hugging Face, scikit-learn
  • Models & Techniques: Large language models, transformers, multimodal models, diffusion models, reinforcement learning, recommendation and ranking systems
  • Model Adaptation: Fine-tuning, reinforcement learning from feedback, preference optimization, distillation, synthetic data, prompt optimization
  • AI Systems: Retrieval-augmented generation, agents, tool use, structured generation, reasoning systems, model routing
  • Evaluation & Experimentation: Offline and online evaluation, human evaluation, benchmarking, red teaming, interpretability, model observability
  • Data & Infrastructure: Spark, Databricks, Snowflake, vector databases, distributed training, GPUs, Kubernetes
  • Models & Platforms: OpenAI, Anthropic, Google, Meta, open-source foundation models, and proprietary model architectures

What Happens Next?
  1. Submit your application to join SignalFire's Talent Ecosystem.
  2. We review applications on an ongoing basis to identify strong candidates.
  3. If there's a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
  4. No match yet? We'll keep your profile on file for future Senior and Staff Applied AI Scientist and Researcher roles across our portfolio.