About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence technologies, the platform provides tailored, exclusive insights that support our clients in achieving performance and efficiency.

About the role: At Signal, we are committed to finding people who are respectful, inclusive, and team players, embodying these values in every role.

What you will do in this role:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

If you are passionate about leveraging analytics consulting to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionising the healthcare landscape through advanced analytics.

We are looking for a Data Analyst who will work with marketing and product data, build visualizations, support decision-making with accurate insights, and contribute to the development of analytical models and automation.

Responsibilities

• Analyze marketing and product data to identify trends, patterns, and opportunities for optimization.
• Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI).
• Participate in building analytical and forecasting models based on product, financial, and behavioral data.
• Prepare technical documentation and maintain data dictionaries for the analytics function.
• Support automation of analytical processes, reporting pipelines, and recurring workflows.
• Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment.
• Present insights to stakeholders in a structured, clear, and actionable format.

Requirements

Senior Software Engineer (Backend, AI Infrastructure)

Location: Remote - Must have an overlap with EST 9-5 working hours

Compensation: $180K - $300K

We build mission-critical infrastructure that delivers massive amounts of public web data to the companies training the world’s most powerful AI models. Our unique architecture leverages a massive, distributed bandwidth-sharing network to operate a large-scale global crawler, granting us access to high-quality public web data at scale. On top of this, we've built complex pipelines for ingesting, segmenting, and annotating billions of files, including videos, transcripts, and audio, empowering frontier AI labs with essential datasets.

We are a lean, technical team that moves fast, prioritizing high output and low ego. We are seeking a Senior Software Engineer (Backend) with deep expertise to architect scalable solutions and drive technical excellence as we push the boundaries of open web data and AI.

You will join a small, talented team to lead the design and implementation of highly scalable backend systems. Your expertise will be crucial in ensuring the robustness and maintainability of the infrastructure that supports our massive distributed crawler and data processing pipelines. You will play a critical role in shaping the evolution of the internet's role in AI development.

Machine Learning Scientist (SocialFi/Decentralized Platform)

Location: New York City, London (Office)

Compensation: $250K - $300K

We are a high-growth software development company comprised of elite builders, moving fast to redefine what is possible in the social and decentralized technology space. We are proud contributors to one of the largest global social networks in the crypto space. We are committed to leveraging cutting-edge technology to build the future of decentralized applications.

We are seeking an experienced Machine Learning Scientist to be instrumental in applying AI and ML techniques to shape the future of our platforms and beyond.

As a Machine Learning Scientist, you will work alongside world-class engineers and product teams to drive the development of sophisticated algorithms. These models will power key platform features such as personalization, recommendations, search, and real-time decision-making, significantly enhancing the user experience.

Key Responsibilities

Software Engineer, AI (0→1 Product Focus)

Full-time | Hybrid

Location: San Francisco Bay Area

We are a high-growth, well-funded technology company pioneering the Composable Customer Data Platform (CDP) and AI Decisioning space. We empower every business user to leverage data and AI for marketing personalization and business operations. We are looking for a product-minded Software Engineer to explore new 0→1 opportunities in AI and define the future of AI-powered marketing.

This is a unique, high-impact role focused on prototyping and shipping entirely new product ideas. You will blend backend engineering, data analysis, and applied AI to create infrastructure and features that generate insights and content from vast customer datasets.

What you'll work on:

AI Engineer (Automotive Software)

Full-time | Hybrid

Location: Sunnyvale, CA

We are a technology leader driving the transformation to AI-enabled software-defined vehicles. Our platform is essential for accelerating the shift from traditional automotive software to systems that evolve rapidly, update seamlessly, and improve continuously. We are seeking an AI Engineer to join our team, working at the cutting edge of in-vehicle intelligence and large-scale data processing.

As an AI Engineer, you will be instrumental in the end-to-end development, optimization, and deployment of machine learning and deep learning models that enhance vehicle systems. You will work with complex algorithms and vast datasets to create smarter, safer, and more intuitive vehicles.

Key Responsibilities:

Software Engineer (Backend/AI)

Location: San Francisco, CA (100% On-site)

Employment Type: Full-time

Salary Range: $140K - $300K

We are a rapidly growing, well-funded AI company (backed by world-class investors like A16z, Benchmark, and First Round Capital) focused on solving a critical bottleneck for modern AI teams: ingesting complex, real-world enterprise data (like PDFs and spreadsheets) with state-of-the-art accuracy. We have achieved 7x YOY revenue growth, working with hundreds of clients from leading AI startups to large enterprises. We are seeking an exceptional Backend/AI Engineer to build the core platform.

As a Backend/AI Engineer, you will work on our core API, which powers document parsing for hundreds of companies globally. This role requires high agency, a strong bar for quality, and a hands-on approach to the full development lifecycle, from ideation to production.

Core Work Will Include:

We are seeking a Data Analyst to support a program by providing data-driven insights, analytics, and reporting to inform mission-critical decisions. The ideal candidate will have experience working with large, complex datasets, strong analytical skills, and familiarity with government data standards and compliance requirements.

Responsibilities:

• Collect, clean, and analyze structured and unstructured data from multiple sources.
• Develop and maintain dashboards, reports, and data visualizations to support program objectives.
• Identify data trends, patterns, and anomalies to support operational and policy decisions.
• Collaborate with government stakeholders, program managers, and technical teams to define data requirements and reporting needs.
• Ensure data accuracy, integrity, and compliance with federal data security and privacy regulations.
• Prepare and present findings, reports, and visualizations to both technical and non-technical audiences.
• Support automation of data processing and reporting workflows.
• Contribute to continuous process improvement and performance metrics development.

Requirements

Data Scientist - DeFi Quantitative Research

Location: Remote - US, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance and currently manage risk and incentives covering over $42 billion in customer TVL. We are seeking experienced Data Scientists to help new and established protocols better understand and optimize the systems they've built.

In this role, you will work directly with the premier and most innovative DeFi protocols, developing expert-level knowledge of the mechanisms that underpin the industry. This requires a strong ability to perform in-depth quantitative research, manage client engagements end-to-end, and translate complex data insights into clear, actionable value.

Responsibilities: