Scale AI

Scale AI

AI data platform for generative models

Machine Learning Research Scientist - Post-Training

Full-Time
$165.6k - $207k/yr

+ Equity compensation + Commuter stipend

Mid
Master's, PhD
Seattle, WA, USA+2 more

More locations: San Francisco, CA, USA | New York, NY, USA

Remote

About the job

Requirements
  • A Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
  • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
  • Experience with post-training techniques such as reinforcement learning from human feedback, preference modeling, or instruction tuning.
  • Published research in machine learning at major conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or CVPR, and/or in journals.
  • Previous experience in a customer-facing role.
Responsibilities
  • Research and develop novel post-training techniques, including supervised fine-tuning, reinforcement learning from human feedback, and reward modeling, to enhance large language model core capabilities in text and multimodal modalities.
  • Design and experiment with new approaches to preference optimization.
  • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
  • Publish research findings in top-tier artificial intelligence conferences.
  • Collaborate with researchers and engineers to define best practices in data-driven artificial intelligence development.
  • Partner with foundation model labs to provide technical and strategic input on the development of next-generation generative artificial intelligence models.
  • Optimize data curation and evaluation to enhance large language model capabilities in text and multimodal modalities.
Desired Qualifications
  • Excellent written and verbal communication skills.

About the company

Scale AI provides a platform for accelerating AI development by helping organizations harness their data to customize powerful generative models. The Scale Generative AI Platform offers data collection, curation, and annotation tools, plus evaluation and optimization features to improve model performance. It serves a wide range of customers from technology giants (Microsoft, Meta) and enterprises (Fox, Accenture) to other AI companies (OpenAI, Cohere), government agencies (U.S. Army, Air Force), and startups (Brex, OpenSea). Revenue comes from subscriptions and services tied to the platform and tooling, aimed at enhancing the performance and safety of leading large language models and generative models.

Company Size

5,001-10,000

Company Stage

Acquired

Total Funding

$1.6B

Headquarters

San Francisco, California

Founded

2016

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Simplify's Take

What believers are saying

  • The Pentagon’s $500 million CDAO contract, won May 6, 2026, dwarfs prior deals.
  • Scale joined DOE’s Genesis Mission consortium in July 2026, expanding federal scientific workloads.
  • Scale’s July 30, 2026 announcement named BP and Mayo Clinic as new enterprise customers.

What critics are saying

  • Meta-backed customer flight hit Scale after June 2025, forcing rivals to reconsider procurement.
  • The McKinney settlement costs $12.5 million and exposes contractor-misclassification liability through 2026.
  • Meta's 49% stake and Wang's exit destroyed Scale's neutrality; OpenAI-style labs abandon it permanently.

What makes Scale AI unique

  • Scale combines labeling, evals, and deployment for regulated AI buyers on one contract.
  • Francis deSouza joined August 10, 2026, bringing Google Cloud security discipline to Scale.
  • Meta’s $14.3 billion 49% stake validates Scale’s data infrastructure and enterprise reach.

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Benefits

Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.

Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.

Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.

Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.

Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.

Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.

Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.

Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.

Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

-1%
HyperAI
Sep 12th, 2026
Sequoia leads Mecka AI to $500M valuation for robot training data.

Sequoia leads Mecka AI to $500M valuation for robot training data. Mecka AI, a startup focused on capturing and analyzing human motion data for robotics, is nearing a financing round led by Sequoia Capital at a valuation of approximately $500 million. The deal comes just three months after the company secured a $60 million injection led by Framework Ventures, with participation from Menlo Ventures, SV Angel, and Kindred Ventures. While precise terms remain unsettled and company leadership has not publicly confirmed the update, the rapid capital injection underscores intense investor interest in high-quality physical-world datasets. Co-founded in 2024 by Josh Gao, Mogen Cheng, Jason Chong, and Duy Nguyen, Mecka AI operates at a critical juncture in artificial intelligence development. Despite lacking formal robotics backgrounds, the founding team identified the scarcity of real-world interaction data as the primary constraint on general-purpose and humanoid robot capabilities. To solve this, the company employs an egocentric data collection methodology, compensating individuals to perform routine tasks while wearing motion-tracking sensors and smartphones. This approach mirrors the data annotation strategies that accelerated large language model development, effectively translating human behavioral patterns into machine-readable training sets for robotic systems. The funding rounds reflect a broader industry shift toward solving the physical data bottleneck. Robotics manufacturers and artificial intelligence laboratories increasingly rely on authentic, human-derived motion data to refine imitation learning and reinforcement learning algorithms. Mecka AI is positioned alongside emerging competitors such as XDOF and established data platforms like Scale AI, which are expanding their operations beyond text and image annotation into embodied intelligence. Industry projections indicate Mecka AI targets an annual run rate of $100 million by the end of 2026, signaling aggressive growth expectations in a capital-intensive sector. As the robotics industry races to deploy scalable humanoid systems, access to diverse, high-fidelity motion datasets has become a strategic differentiator. Mecka AI's latest valuation milestone highlights the market's willingness to back infrastructure providers that bridge the gap between theoretical AI models and physical-world deployment. Terms of the Sequoia-led transaction remain under negotiation, with final agreement pending. This news is intelligently aggregated by AI to deliver industry updates efficiently. It does not constitute opinions or advice. TechCrunch

Eyeglass Outlet
Sep 9th, 2026
Startup boom: who's raising millions - and who's folding this week.

Startup boom: who's raising millions - and who's folding this week. Table of Contents Startup boom: who's raising millions, and who's folding this week. The startup ecosystem is one of the most dynamic and fast-paced industries today. With venture capital (VC) investments hitting record highs, founders are scaling rapidly, while others face the harsh reality of shutdowns or layoffs. This week, the headlines are filled with stories of billion-dollar valuations, groundbreaking funding rounds, and companies making bold moves, alongside others struggling to survive. From AI-driven startups raising massive sums to traditional businesses folding under pressure, the contrast between success and failure is stark. Let's break down this week's biggest trends: who's winning big, who's pivoting, and who's calling it quits. The big winners: startups raising millions. AI and tech dominate funding rounds. Artificial intelligence (AI) and cutting-edge technology continue to attract the most funding. This week, several startups secured multimillion-dollar investments, proving that innovation remains the key to attracting VC money. * AI-Powered Startups Making Headlines * Perplexity AI raised an undisclosed round, reportedly valuing the company at $5 billion, as it expands its AI search engine. The funding comes amid growing competition with Google and Microsoft-backed Copilot. * Anduril Industries, the military tech startup backed by Palantir's founder Peter Thiel, secured $1.3 billion in a new funding round, pushing its valuation to $15 billion. The company, which supplies advanced defense technology, is now eyeing expansion into cybersecurity and autonomous systems. * Scale AI, an AI training data company, raised $300 million in a Series D round, bringing its total funding to over $1.5 billion. The company is a major player in providing high-quality datasets for AI models. * Fintech and SaaS Startups Scaling Fast * Ramp, the spend management platform for startups, closed a $250 million Series D round, valuing the company at $3.3 billion. The funding will accelerate its expansion into enterprise clients. * Chime, the fintech giant that offers banking-as-a-service, raised $500 million in a new funding round, reaching a $25 billion valuation. The company continues to dominate the digital banking space with its no-fee model. * Notion, the all-in-one workspace tool, raised $500 million from Tencent, bringing its total funding to $1.3 billion. The company is now focusing on enterprise adoption and AI integrations. Healthcare and biotech startups gaining momentum. Healthcare startups, particularly those in AI-driven diagnostics and biotech, are also attracting significant investments. * PathAI, an AI-powered pathology company, raised $150 million in a Series C round, valuing the company at $1.5 billion. The funding will support its efforts to automate cancer diagnostics using machine learning. * Tempus, a precision medicine platform, secured $200 million in additional funding, bringing its total raised to $1.5 billion. The company is expanding its genomic and clinical data analytics capabilities. The pivot: startups adjusting strategies. Not all startups are thriving. Some are making strategic shifts to survive in a competitive market. Cost-Cutting and product pivots. * Doordash's Expansion Challenges * While Doordash continues to grow, it has faced profitability pressures, leading to layoffs and a shift in focus from delivery to in-store retail and grocery pickup services. * The company is also investing in AI-driven logistics to reduce operational costs. * Airbnb's Workforce Reduction * Airbnb announced layoffs affecting 1,100 employees, or about 15% of its global workforce, as it adjusts to slower travel demand post-pandemic. The company is also reorganizing its leadership structure to streamline operations. Niche players finding new traction. Some startups, though not raising massive rounds, are carving out successful niches. * Gymshark's Global Expansion * While not a tech startup, fitness brand Gymshark is expanding aggressively into the U.S. and European markets, securing partnerships with influencers and athletes to boost brand awareness. * Stripe's B2B Growth * Payment processor Stripe is shifting focus from e-commerce to B2B transactions, with new tools for subscription management and enterprise payments. The fold: startups calling it quit. Despite the funding boom, not every startup survives. Economic uncertainty, poor execution, or market misalignment can lead to shutdowns. High-Profile failures this week. * WeWork's Ongoing Struggles * While WeWork has stabilized financially, it continues to downsize its workforce and shed underperforming properties. The company's $47 billion valuation from 2019 has since plummeted, and it remains a cautionary tale for overhyped startups. * Affirm's Layoffs * Affirm, the buy-now-pay-later (BNPL) fintech, announced layoffs affecting 300 employees, or 10% of its workforce. The company is facing regulatory scrutiny and slowing growth in consumer lending. * Robinhood's Stock Struggles * Trading app Robinhood saw its stock plummet, leading to layoffs of 20% of its workforce. The company is shifting focus from retail trading to institutional clients amid declining user engagement. Smaller startups folding under pressure. * Zendesk's Acquisition of Groove * While not a failure, Groove, a customer service startup, was acquired by Zendesk for $1.1 billion after struggling to compete with larger SaaS giants. This highlights how even well-funded startups can get acquired rather than go public. * Many B2B SaaS Startups Shutting Down * Several early-stage SaaS companies in niche markets (e.g., HR tech, marketing automation) have closed operations due to low adoption rates and insufficient funding. Why are some startups thriving while others fail? The difference between success and failure often comes down to execution, timing, and market fit. Here's what sets the winners apart: Key factors behind success. Strong Market Demand, Companies solving real problems (AI, fintech, healthcare) attract more funding. Scalable Business Models, SaaS, e-commerce, and AI-driven services have high margins and repeat revenue. Smart Talent Acquisition, Top founders and executives attract better investors and partnerships. Adaptability, Startups that pivot quickly (e.g., Doordash shifting to retail) survive longer. Common reasons for failure. Overhyped Valuations, Companies like WeWork burned through cash without sustainable growth. Poor Financial Management, Many startups fail due to cash burn without clear revenue paths. Market Misalignment, Startups that don't understand customer pain points struggle to gain traction. Regulatory and Competition Pressures, BNPL and crypto startups face stricter regulations, making survival harder. The future of startups: what's next? The startup landscape remains volatile but full of opportunity. Here's what Suzannah Hoffman can expect: AI will continue dominating funding. * AI startups will keep raising billions, but execution will matter more than hype. * Vertical AI (e.g., AI for healthcare, finance, logistics) will see more investment than general-purpose AI. Fintech and SaaS will stay Strong. * Payment processors (Stripe, Chime), lending platforms (Affirm), and HR tech will keep growing. * AI integrations in SaaS will be a major trend in 2024. More consolidation through acquisitions. * Smaller startups will either get acquired (like Groove by Zendesk) or go public (SPACs, direct listings). * Private equity and VC firms will be more selective, favoring high-growth, profitable startups. Economic uncertainty will persist. * Layoffs and funding slowdowns may continue in 2024, especially in unproven sectors. * Founders will need to prove profitability before raising large rounds. Final thoughts: the startup rollercoaster. This week's headlines remind Suzannah Hoffman that the startup world is a high-risk, high-reward environment. While some companies raise hundreds of millions in funding, others fold under pressure. The key to survival lies in: * Solving real problems (not chasing trends). * **Managing cash flow wis

Automation Tools AI
Sep 5th, 2026
XDOF emerges from stealth mode: in talks for Series B funding at $1.2B valuation.

XDOF emerges from stealth mode: in talks for Series B funding at $1.2B valuation. September 5, 2026 XDOF, a startup specializing in collecting real-world teleoperation data to train general-purpose robots, is in talks to raise a Series B round at a valuation of approximately $1.2 billion. The company has gained remarkable traction in a mere three months since emerging from stealth mode, supported by a previous Series A funding of $70 million. Co-founded in 2024 by UC Berkeley researchers Philipp Wu (CEO) and Fred Shentu (CTO), XDOF is backed by prominent investors including 8VC, Thrive Capital, and Andreessen Horowitz. The rapid growth of XDOF, with projected annual revenues nearing $50 million, has led venture capitalists to initiate discussions for additional funding much sooner than anticipated. XDOF's mission is to develop the data pipelines and tools necessary for robotics companies and AI labs, essentially serving as an outsourced data supply chain for the industry. Wu's initial research challenges regarding data availability for robot training inspired the creation of XDOF. He collaborated with Shentu on a project called GELLO, which uses remote control to move robotic arms for generating training data. The startup plans to launch a significant dataset known as ABC, believed to be the largest collection of high-quality robot training data. Through teleoperation and human sensor-operated collectors performing daily tasks, XDOF aims to overcome the data scarcity previously hampering advancements in robotics. The company is set to expand its workforce across the globe, focusing on hiring and training data collectors, including teleoperators and egocentric operators. Currently, XDOF boasts a client base of 20 companies, including leading AI laboratories, and remains competitive against other data collection startups such as Mecka AI and Scale AI. For more details, visit the relevant links: Discover the pinnacle of WordPress auto blogging technology with AutomationTools.AI. Harnessing the power of cutting-edge AI algorithms, AutomationTools.AI emerges as the foremost solution for effortlessly curating content from RSS feeds directly to your WordPress platform. Say goodbye to manual content curation and hello to seamless automation, as this innovative tool streamlines the process, saving you time and effort. Stay ahead of the curve in content management and elevate your WordPress website with AutomationTools.AI - the ultimate choice for efficient, dynamic, and hassle-free auto blogging. Learn More

Tech in Asia
Aug 26th, 2026
Amazon to shut down Mechanical Turk after 21 years.

Amazon to shut down Mechanical Turk after 21 years. Amazon said it will shut down Mechanical Turk on September 30 after a review, following a halt to new customer sign-ups last month. Launched in 2005, the crowdsourcing platform let companies outsource digital tasks such as data annotation, transcription, and surveys, often for a few cents per job. At one point, it had more than 500,000 workers. Amazon did not give a specific reason. Mechanical Turk's activity and influence had declined in recent years as AI systems took over some simple tasks and rivals such as Scale AI, Mercor, and Prolific recruited workers for model training. A 2023 study estimated that 33% to 46% of workers in one Mechanical Turk summarization task used large language models, though the researchers said it was unclear whether that finding applied to other types of tasks. Data worker rights group Turkopticon said the shutdown will affect workers and some companies that still rely on the service. Separate academic work has also placed Mechanical Turk-related issues within the broader debate over large language model data contamination. Recent amazon developments. Stay updated on the go with our mobile app. Get latest insights with smoother, more personalized experience through TIA mobile app. How would you feel if you could no longer use Tech in Asia? Share, tag us, and land on our Wall of!

The Mag
Aug 23rd, 2026
Data department transforming Newcastle United.

Data department transforming Newcastle United. 2 hours ago Football has undergone a sizeable shift over the last decade. Clubs like Brentford and Brighton have become the poster boys for how data-driven transfer strategies can transform both the financial and on-pitch fortunes of a football club. Brighton, in particular, have thrived in the South American market, identifying gems like Enciso, Caicedo, Buonanotte, Mac Allister, Barco (and the list goes on) That same approach is now becoming a growing priority for the Newcastle United owners and Ross Wilson. Wilson, formerly of Southampton, was part of a team that used data-driven analytics to great effect. Now on Tyneside, he is helping to build something similar, but with substantial financial backing. Over the last year, Newcastle United have been fine-tuning their evolving data department. Under previous sporting director Paul Mitchell, Sudarshan Gopaladesikan was hired as technical director. A highly touted 'tech whizz' UCLA graduate, Gopaladesikan has been leading 'football data operations' at the club. Before settling in the North-East, Gopaladesikan worked at Atalanta and Benfica - and it was in Italy that he developed a state-of-the-art statistical analytics program. That same program was instrumental in bringing the likes of Ademola Lookman and Rasmus Hojlund to the Bergamo-based outfit. In May of this year, Kaustubh Deshpande, another AI specialist, joined the Magpies from top US tech firm Scale AI. There has evidently been a push to recruit the rising tech stars coming out of America. The Newcastle United players and Matthias Jaissle will no doubt control the immediate short-term, but these are the people who can help define Newcastle's success in the medium and long term. This is all part of a data-driven vision on Tyneside. The idea is to remove some of the outside emotion and bias from decision-making by leaning on data provided by AI and large language models. The foundations are being laid now. The soon to be officially announced signing of Ousmane Diabate, the 2007-born Guinean midfielder from Turkish side Gençlerbirliği highlights this shift. When every pound matters under SCR regulations, it is imperative the club spends well. AI models and Newcastle-oriented algorithms will help ensure this happens. With this vision, there will not be instant results. It will be a slow, gradual process before the club can reap the rewards on the pitch. As Newcastle expand their scouting network into Croatia, Bosnia, and the Balkans, the club's AI models and datasets will likely be used to more efficiently identify the young gems emerging across South-Eastern Europe. The recent tech hires made by the Newcastle United owners are about giving NUFC an edge in the transfer market - crunching the numbers in a way that makes endless amounts of data more accessible. AI, for example, can be harnessed to more accurately predict performance, injuries, or tactical fit. But crucially, it requires the expertise of people like Gopaladesikan and Deshpande to make that actually work in practice. They will be able to develop AI models and algorithms that are Newcastle United-specific, meaning decisions made in the transfer market (hopefully) become less reactive. And these models go further than transfers. They can optimise Jaissle's training sessions, identify ideal loan destinations for specific players, and provide the coaching staff with tailored fitness programs. With the club building up its data department and unveiling plans for a new, state-of-the-art Woolsington Hall site training complex, the data team will have a dedicated space to operate and hopefully thrive. If you would like to feature on The Mag, submit your article to [email protected] Newcastle United News 24/7 Next Match | Newcastle | Premier League Sun, 23 Aug 16:30 | Liverpool |