We are seeking a highly motivated quantitative researcher to join our Investment Management & Research group, focussing on MENA Equities. You will play a key role in researching, developing and operating our equities strategies in the region, partnering with portfolio managers, researchers, and technology to build and optimise the full strategy lifecycle – from research and back testing to live trading and risk management.

You will spend an initial period of approximately 6 months working in our London office before relocating to our office in Abu Dhabi.

Your responsibilities will include:

• Conduct in-depth research to identify alpha-generating strategies in MENA equity markets
• Research and back test systematic trading signals
• Collaborate closely with portfolio managers, researchers and technologists to develop trading infrastructure and strategies
• Monitor, analyse and report on strategy performance

What we are looking for: 

• 3+ years of experience working in a systematic equity trading environment
• Proficiency in data analysis and programming, preferably using Python and key libraries such as Pandas and NumPy
• Exceptional understanding of signal research and portfolio construction
• Strong communication skills with the ability to work in a distributed and collaborative research environment.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the Role:  

Planet’s Professional Services team helps our Defense and Intelligence (D&I) customers adopt the Planet Platform and rapidly realize return on investment in Planet data and analytics. The Professional Services Global D&I team is looking for a Solutions Architect responsible for the implementation, integration, and analysis of new software and data products that extend the Planet Platform and deliver new capabilities to our strategic D&I customers. In this role, you will be embedded with our customer to train users on Planet products, translate requirements, design workflows, and communicate with Planet’s product team on mission critical capabilities. Your work will be highly visible, directly impacting customers' ability to quickly access Planet's unprecedented datasets, as well as streamline the internal processes for adding new customers to our platform. Ideal candidates will be excited about Planet’s mission.

This is a full-time, in-office position based in one of our strategic customer locations 5 days a week, in Abu Dhabi, UAE. This position is contingent upon award.

Impact You’ll Own:

• Understand clients’ needs and deliver tailored solutions
• Break down ambiguous, high-stakes problems into clearly defined, solvable components
• Leverage analytical skills to deliver products to our D&I customers and support mission requirements
• Design workflows, defining data models, configuring integrations, and helping define tooling that aligns to the customer’s mission.
• Train users, iterate with them in real time, and ensure that Planet solutions become mission-critical to daily operations.
• Translate operational requirements into actionable product feedback for Planet’s engineering teams. 
• Communicate technical capabilities back to customers in clear, mission-focused language.
• Rapidly prototype, test, and adjust workflows to match real operational needs.
• Mapping out high-level strategy with decision makers by sitting next to analysts to debug workflows.
• Work closely with customer teams to understand their workflows, pain points, and mission priorities.

What You Bring:

• Bachelor’s degree in Computer Science, Software, Systems Engineering, or similar 
•  4+ years of experience in supporting D&I customers, with specialized technical experience in the general areas of systems integration
• Fluent in Golang, Python, Postgresql, & React or related technologies
• Experience with cloud deployments; GCP, AWS, Azure
• Solid problem-solving and systems thinking skills
• Exceptional communication and stakeholder management
• Ability to quickly learn new technical domains and tools
• Comfortable operating in ambiguous, high-pressure environments
• Deep curiosity and willingness to dive into operational details
• Fluency in translating between technical and non-technical audiences
• Experience with solving complex problems through analytical skills
• Experience scaling and maintaining production systems

What Makes You Stand Out:

• Experience working with defense and intelligence organizations in the UAE
• Systems integrations experience working with multi domain/multi-level security architectures, particularly the Defence and Intelligence.
• Working knowledge of JavaScript and its mapping libraries (OpenLayers, Leaflet, ArcGIS API for JavaScript), Google Earth Engine and it’s SDK
• Experience with RDBMS (PostgreSQL, SQL) and distributed databases (NoSQL)
• Experience in geopolitics and data science
• Ability to pick up new technologies quickly
• Experience with building analytical products from complex datasets
• Experience with geospatial technologies and data
• GEOINT experience, imagery exploitation and analysis
• Fluent in multiple languages

Application Deadline: February 20th, 2026 at 11:59PM PST

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

#LI-REMOTE

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

We are partnering with a venture-backed, early-stage technology company building a programmable loyalty and rewards operating system for global consumer brands. The platform enables brands to launch white-label fan engagement and monetisation experiences—including predictions, quests, digital drops, auctions, and ticketing—without gambling mechanics.

At its core, the platform combines consumer-grade applications with a tokenised exchange and settlement layer, enabling branded tokens to be issued, traded, and distributed at scale. Initial verticals are in global sports and entertainment, with expansion planned into additional IP-driven markets.

The company is now seeking a Founding CTO to lead the architecture and build-out of its protocol, exchange infrastructure, and engineering organisation from day one.

As Founding CTO, you will be responsible for designing, building, and scaling the full technical stack, with a particular focus on the exchange and protocol layer. You will oversee smart contract development, liquidity and market mechanics, wallet infrastructure, and the integration between on-chain systems and high-scale consumer products.

This is a hands-on leadership role suited to a senior Web3 technologist who has shipped production protocols and wants full ownership of technical strategy in a greenfield environment.

Responsibilities

• Exchange & protocol architecture
• Design and deploy a hybrid AMM / orderbook-based exchange for branded tokens
• Build liquidity pools, routing logic, and market-making infrastructure
• Define token economics, liquidity incentives, and trading mechanics
• Smart contracts
• Develop, test, and deploy core protocol contracts, including:
• Token standards
• Liquidity pools and staking
• Rewards distribution and governance
• Lead audit processes and ensure a strong on-chain security posture
• Wallet & settlement infrastructure
• Implement abstracted wallet solutions (e.g. smart accounts, MPC)
• Integrate fiat on/off-ramps and external custody providers where required
• Platform integration
• Oversee architecture connecting the protocol layer to:
• Engagement mechanics (predictions, quests, missions)
• Rewards and commerce systems (drops, auctions, ticketing, merchandise)
• Analytics and reporting dashboards
• Consumer products
• Guide development of mobile (iOS/Android) and web applications delivered under partner branding
• Leadership & strategy
• Hire, lead, and scale the engineering team across protocol, backend, and product
• Set engineering standards, development workflows, and technical roadmap
• Make strategic build-vs-buy decisions and select vendors and tooling

Qualifications

• 5+ years building blockchain or crypto infrastructure
• Proven experience shipping at least one protocol or exchange to mainnet
• Deep understanding of DeFi mechanics (AMMs, liquidity mining, tokenomics)
• Strong production smart contract experience with a clean audit track record
• Experience working with L2s, rollups, or app-chains
• Familiarity with consumer-facing systems and real-time platforms
• Comfortable operating in early-stage, resource-constrained environments
• Able to balance protocol purity with product and user experience needs
• Strong communicator across technical and non-technical stakeholders

Technical environment

• Smart contracts: Solidity (advanced), Foundry / Hardhat, formal verification fundamentals
• Languages: TypeScript/JavaScript, Rust or Go, Python
• Infrastructure: RPC operations, indexers/subgraphs, GCP, Docker/Kubernetes
• Security: Audit coordination, attack vector mitigation (reentrancy, flash loans, oracle risk), monitoring and incident response
• Product stack exposure: React Native or Flutter, PostgreSQL, Redis, event streaming (useful for protocol-to-product integration)

We are supporting a venture-backed, early-stage technology company building a white-label consumer engagement and rewards platform for global brands. The platform enables large-scale fan and customer experiences (e.g. predictions, quests, digital rewards, ticketing and commerce) while incorporating tokenised settlement and rewards infrastructure.

This role represents a true greenfield build. The Founding CTO will define the overall system architecture, technical standards, and engineering culture from day one, while delivering a production-grade platform designed to scale to millions of users.

As Founding CTO, you will take end-to-end ownership of the technology organisation, from initial architecture and hands-on development through to team build-out and long-term technical strategy.

You will work closely with founders and commercial stakeholders, translating product vision into scalable systems and ensuring the platform can support multiple partners, brands, and regions.

Responsibilities

• Platform & architecture
• Define and build the core platform architecture supporting engagement mechanics, rewards, commerce, and analytics
• Establish system design principles covering scalability, security, and performance
• Make key build-vs-buy decisions and select vendors, tooling, and infrastructure partners
• Backend & infrastructure
• Architect and implement backend services supporting real-time event ingestion, points/wallet systems, identity, and compliance controls
• Design robust data pipelines, storage, and API layers
• Own production readiness, including monitoring, alerting, SLOs, and incident response processes
• Consumer products
• Oversee development of mobile (iOS/Android) and web applications delivered under partner branding
• Ensure high-quality user experience across consumer touchpoints
• Token & rewards infrastructure
• Lead design and integration of tokenised reward systems, including smart contracts and distribution logic
• Manage wallet integrations and fiat on/off-ramps in collaboration with external providers
• Integrations
• Build and maintain APIs connecting to external data feeds, ticketing systems, commerce platforms, and sponsor tools
• Leadership & team
• Hire, mentor, and scale a high-performing engineering team
• Establish engineering standards, documentation practices, and development workflows
• Act as a hands-on technical leader while progressively transitioning to strategic oversight

Qualifications

• 8+ years of experience building consumer-facing technology products
• Proven experience delivering at least one 0-to-1 platform
• Track record of shipping and operating products at scale (100K+ users)
• Strong backend engineering background (distributed systems, real-time data, API design)
• Experience designing production-grade systems with high reliability requirements
• Comfortable working across frontend, backend, and infrastructure layers
• Strong written and verbal communication skills (architecture docs, technical strategy, roadmap planning)

Strongly preferred

• Experience with loyalty, gaming, or marketplace-style mechanics (e.g. rewards, auctions, prediction-style systems)
• Familiarity with blockchain or tokenised systems (smart contracts, wallets, settlement flows)
• Background in security-sensitive or compliance-aware systems
• Experience building white-label or multi-tenant platforms

Technical environment (current / planned)

• Languages: TypeScript/JavaScript, Node.js, Python; Go or Rust exposure is a plus
• Mobile: React Native or Flutter; native iOS (Swift) / Android (Kotlin) experience advantageous
• Infrastructure: Cloud-native (GCP), Docker/Kubernetes, CI/CD pipelines
• Data: PostgreSQL, Redis, event streaming (Kafka or equivalent)
• Web3 exposure: Solidity fundamentals, wallet integrations, token mechanics

As an AI Researcher at Vatic Labs in Abu Dhabi, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods to discover and capitalize on trading opportunities.

The nature of the problems we work on is challenging, hence we hire some of the world's top AI talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists has been recognized as leaders in their field. Our distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth.

If you possess all or most of the following, we would love to explore what is available for you with our team:

• Earned or will earn a Master’s or Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.
• Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.
• Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary.
• Ability to generate impactful research in academic or professional pursuits.
• Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.
• Interest and enthusiasm for learning about financial markets (previous experience not required).

At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:

• Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
• Comprehensive health benefits – Full health insurance coverage for employees and dependents.
• Daily meals provided – Enjoy free lunch at the office.

Vatic Labs is a quantitative trading firm in New York and Abu Dhabi.  Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.  

As an AI Research Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities.

We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.

If you possess the following, we would love to explore what is available for you with our team:

• Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
• Demonstrable experience coding in C++ or Python in a Linux environment
• Have experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression.
• In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods
• Have innate curiosity for understanding why and how certain techniques work
• Have deep knowledge of time-series analysis
• Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred
• Contribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NIPS, ICML,  etc.
• Have an interest and enthusiasm for learning about financial markets (previous experience not required)

As a Quantitative Researcher at Vatic, you will research and develop innovative quantitative strategies. You’ll explore large-scale market data, applying novel machine learning and artificial intelligence methods to discover and capitalize on trading opportunities. The problems are challenging; we hire top talent, empower them with tools and mentorship, and foster a highly collaborative, open environment. Our researchers are recognized leaders whose work is widely cited in top-tier, peer-reviewed journals.

What You’ll Do

·      Formulate and test hypotheses on vast, multi-modal market datasets.
·      Build and evaluate ML/AI models (e.g., classification, clustering, regression) to identify alpha.
·      Design robust research pipelines and backtests; iterate from idea → signal → portfolio contribution.
·      Collaborate with engineers to productionize strategies and improve research tooling.Required Qualifications
·      PhD or Master’s (earned or in progress) in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields.
·      Relevant industry experience, or experience as a Postdoc/Faculty in a scientific lab.
·      Proven ability to analyze large datasets with rigorous ML/AI approaches.
·      Demonstrated ability to generate impactful research (academic or professional).
·      Deep knowledge of time-series analysis.
·      Advanced proficiency in a numerical language; Python (NumPy/SciPy stack) preferred.
·      Exposure to C++ or a related compiled language.
·      Interest in financial markets.Nice to Have
·      Experience with portfolio construction, risk modeling, and transaction cost analysis.
·      Familiarity with distributed computing frameworks and research workflow tooling.
·      Publications or open-source contributions in ML/stats or related areas.What We Value
·      First-principles thinking, high ownership, and a bias for rigorous experimentation.
·      Clear communication and collaboration across research and engineering.
·      Curiosity, humility, and continuous learning.

At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:

• Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
• Comprehensive health benefits – Full health insurance coverage for employees and dependents.
• Daily meals provided – Enjoy free lunch at the office.