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Fast Forward Labs Jobs (NOW HIRING)

Prior Labs

ML Engineer, Forward Deployed

New York, NY · On-site

You won't just deploy models; you'll help shape how Prior Labs deploys as we scale. What You'll Do ... We move fast and still take the time to do things right. Our teams are based in Berlin, Freiburg ...

Periodic Labs

Founding HR Leader

Menlo Park, CA · On-site

$250K - $350K/yr

About the Role Periodic Labs is growing fast - and we're building the people infrastructure to ... We need someone who has operated inside engineering-forward organizations - ideally in frontier AI ...

Via

Director of AI Engineering, AI Labs

New York, NY · On-site

$275K - $325K/yr

Work closely with our customers in a forward-deployed manner to deeply understand problems and ... moving fast, and you take ownership without being asked. * A strong communicator and cross ...

Fluidstack

Fluidstack Labs Lead

Glendale, AZ · On-site

$200K - $275K/yr

We drive everything forward as fast as possible. * Reason from first principles. Challenge every ... Lead Fluidstack Labs: the team qualifying next-generation compute, network, and rack hardware ahead ...

Endor Labs

Backend Software Engineer

Palo Alto, CA · On-site

... forward momentum. * Adaptable Innovator : Thrive in a fast-paced environment with shifting ... At Endor Labs, we think big, start small, and learn fast. We take ownership, move with purpose, and ...

Endor Labs

Backend Software Engineer

Palo Alto, CA

... forward momentum. * Adaptable Innovator : Thrive in a fast-paced environment with shifting ... At Endor Labs, we think big, start small, and learn fast. We take ownership, move with purpose, and ...

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How much do fast forward labs jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for fast forward labs in the United States is $47.92, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $60.10 per hour, depending on experience, location, and employer.

What is Fast Forward Labs?

Fast Forward Labs is a research and advisory organization focused on emerging technologies in the fields of machine learning, artificial intelligence, and data science. The company provides in-depth research reports, prototypes, and consulting services to help businesses understand and implement cutting-edge technologies. Fast Forward Labs was acquired by Cloudera and continues to support organizations in staying ahead of technological trends and advancements.

What are the typical projects and collaboration styles for team members at Fast Forward Labs?

At Fast Forward Labs, team members frequently work on cutting-edge applied machine learning and AI research projects, collaborating closely with both internal colleagues and client stakeholders. The work environment encourages cross-functional teamwork, with data scientists, engineers, and product experts regularly sharing insights and brainstorming solutions. Projects often involve rapidly prototyping new technologies and translating research into actionable business applications, which requires strong communication skills and adaptability. Team members can expect a dynamic and intellectually stimulating environment that values continual learning and innovative thinking.

What are the key skills and qualifications needed to thrive as a Machine Learning Research Scientist at Fast Forward Labs, and why are they important?

To thrive as a Machine Learning Research Scientist, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree (MSc or PhD) in a related field. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and experience with data analysis tools are essential. Strong problem-solving abilities, creativity, and effective communication set candidates apart in this role. These skills are crucial for developing innovative machine learning solutions and translating complex research into practical applications for clients.

What is the difference between Fast Forward Labs vs Data Scientist?

AspectFast Forward LabsData Scientist
Required CredentialsAdvanced degrees in CS, AI, or related fields often preferredTypically requires a degree in CS, statistics, or related fields; certifications are a plus
Work EnvironmentResearch-focused, innovative projects, often in tech companies or consultanciesData analysis, modeling, and interpretation within various industries
Employer & Industry UsageTech companies, research labs, consulting firmsAcross industries like finance, healthcare, tech, and retail

Fast Forward Labs and Data Scientists both work with data and advanced analytics, but Fast Forward Labs focuses more on research and developing innovative AI solutions, while Data Scientists primarily analyze data to inform business decisions. The roles overlap in skills and credentials but differ in focus and work environment.

What states have the most Fast Forward Labs jobs?

States with the most job openings for Fast Forward Labs jobs include:

What job categories do people searching Fast Forward Labs jobs look for?

The top searched job categories for Fast Forward Labs jobs are:

Fast Forward Labs jobs near you
Infographic showing various Fast Forward Labs job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $99,665 per year, or $47.9 per hour.

ML Engineer, Forward Deployed

Prior Labs

New York, NY • On-site

Full-time

Re-posted 4 days ago

Job description

Who we are
Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. What LLMs did for language, we're doing for tables.
We pioneered tabular foundation models: TabPFN v2 was a Nature cover story, has passed 3.5M+ downloads and 7,500+ GitHub stars, and runs in production from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi. The hardest problems - millions of rows, real-time inference, entirely new modalities - are still open, and no one else is working on them at this level.
We're a small, highly selective team of 40+ with backgrounds from Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by Bernhard Schölkopf and Turing Award winner Yann LeCun.
In July 2026, less than 18 months after our €9M pre-seed, we joined SAP as an independent frontier AI lab - same team, mission, and open-weights models, now backed by more than €1 billion over four years.
Core Areas of Impact
A model that tops a benchmark and a model that changes how an organization works are two different things. You'll take our tabular foundation models into our most strategic customers' environments - integrating them into real platforms and pipelines, doing the hands-on data science to prove value, and owning the implementation through to production.
This is a senior role: You'll own engagements end-to-end with high autonomy, make hard technical calls under ambiguity, and work shoulder-to-shoulder with customer data science teams as a senior peer. The patterns you uncover in the field won't stay in the field - they flow straight back to our researchers and shape what we build next. You won't just deploy models; you'll help shape how Prior Labs deploys as we scale.
What You'll Do:
  • Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
  • Do the Data Science: Frame the problem on real, messy data, engineer features, model it, and benchmark rigorously against the customer's current baseline.
  • Own Delivery: Carry use cases end-to-end - from first conversation to a reliable, documented production solution you stand behind.
  • Partner Deeply: Work with customer data science and ML teams as a peer, earn their trust, and make them faster with our models.
  • Tailor & Optimize: Customize models for diverse use cases, trading off performance, latency, scale, and cost.
  • Close the Loop: Turn deployment insights into sharp, prioritized feedback that shapes the model and product roadmap.
  • Set the Standard: Establish the deployment patterns the team builds on as we scale.
What We're Looking For:
  • 3+ years building and deploying ML systems in production, with a track record of owning hard problems end-to-end.
  • Strong engineering fundamentals and expert-level Python.
  • Deep, hands-on ML ability - you build models you understand and can defend, not just call an API. Strong with PyTorch and scikit-learn, with a solid grasp of transformer / foundation-model approaches.
  • Depth in tabular, time series, or structured-data ML.
  • Proven cloud deployment (AWS, GCP, or Azure) into production, kept reliable under real-world conditions.
  • Mature customer instinct - you diagnose the real problem, navigate technical and business stakeholders, and drive to outcomes.
  • High autonomy and sound judgment in ambiguity, and a bias toward clean, maintainable, well-documented code.

What sets you apart
  • Prior forward-deployed, solutions engineering, or senior technical customer-facing experience.
  • Contributions to relevant open-source projects in ML or data engineering.
  • Experience integrating with enterprise data ecosystems and designing APIs and deployment pipelines.

Life at Prior Labs
You'll work alongside researchers and builders who hold themselves to a very high bar - in the quality of their work and in how they work with each other. We move fast and still take the time to do things right.
Our teams are based in Berlin, Freiburg, and New York - when you're working on something as hard as TabPFN, being in the same room matters. But great people come from everywhere, and in exceptional cases we're open to remote, which usually means frequent travel to one of our offices. Wherever you're based, the whole company comes together regularly for offsites to build and celebrate together.
Our Commitments
The best products and teams are built by people with a wide range of perspectives and backgrounds. We welcome applications from all identities and walks of life - especially if you've ever felt discouraged by "not checking every box" - and provide equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are.
We care about how your data is handled - see our Recruiting Data Privacy page

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