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Senior Data Scientist – Fintech

$170,000-$190,000 + bonus + benefits

Remote

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.

What You’ll Bring

• 5+ years of data scientist (modeling) experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Experience with LLMs and agents
• Background in: NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on NLP products
• Experience delivering LLM-based solutions
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retreival Augmented Generation | Agents | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval

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Head of Data

Education

$280,000 – $290,000 + Bonus

NYC – Hybrid

THE ROLE- Head of Data

A leading Education organization is seeking a strategic and forward-thinking Head of Analytics to lead its enterprise-wide analytics and data science functions. This is a high-impact, highly visible role, engaging regularly with executive leadership and senior stakeholders to drive data-informed decision-making across the organization.

The role offers a unique opportunity to build on a strong foundation while shaping the future direction of analytics capabilities to support a fast-moving and high-growth environment.

KEY RESPONSIBILITIES:

• Define and drive the vision for enterprise analytics, delivering insights that support critical decisions and strategic priorities.
• Lead a high-performing team of analytics and data science leaders, fostering innovation, collaboration, and high standards of delivery.
• Build trusted partnerships with executives and department heads to proactively identify data needs and opportunities.
• Ensure timely, accurate, and impactful analytics, dashboards, and reports that empower teams at all levels.
• Identify and implement opportunities to automate analytics workflows and integrate emerging AI tools and methods.
• Work closely with technology teams to streamline data flow, improve quality, and enhance access across systems.
• Develop a deep understanding of the organization’s operations to ensure analytics solutions are contextually relevant and actionable.

YOUR SKILLS AND EXPERIENCE:

• Ample experience in analytics, data science, or business intelligence, with several years managing teams.
• Experience across multiple industries, with an ability to adapt quickly and apply best practices to new contexts.
• Strong ability to convey complex data concepts clearly to executive and non-technical audiences.
• Comfortable in ambiguous environments, as this this role requires initiating solutions, not waiting for requests.
• Brings a long-term vision for data and analytics, coupled with the ability to execute quickly and effectively.

BENEFITS – Head of Data

As a Head of Analytics, you can expect to earn up to $290,000 (depending on experience), a bonus, + highly competitive benefits

HOW TO APPLY?:

Please register your interest by sending your Resume to Sam Willman via the Apply link on this page

KEYWORDS:

SQL, Education, Python, Data Science, Data Scientist, Enterprise, Enterprise Analytics. Analytics, Advanced Analytics, Engineer, Engineering,, Manage, Management, Leadership, Dashboard, Dashboarding, Tableau, Looker

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VP of Analytics
New York City (Hybrid)
Education
Salary: $270,000 – $300,000 + Bonus

Harnham is currently supporting a high-growth organization in the education sector as they look to appoint a VP of Analytics. This is a senior leadership role within a well-established and innovative technology division, responsible for enabling data-driven decision-making across the enterprise.

Overview

The organization is undergoing a significant digital transformation and views data as a key strategic asset. The VP of Analytics will lead a multifunctional team and oversee enterprise data architecture, reporting, advanced analytics, and data science. This individual will play a critical role in ensuring accurate, timely, and actionable insights are available to inform decisions at all levels of the business.

Key Responsibilities

• Build strong relationships with stakeholders across the business to understand and serve their data needs
• Lead and develop the enterprise data and analytics function, maintaining high standards for data quality, delivery, and insight
• Oversee data engineering and analytics processes, ensuring scalability and efficiency through automation and standardization
• Present complex data findings in a clear and actionable manner to senior leadership and non-technical audiences
• Develop and drive the strategic roadmap for analytics and AI adoption across the organization
• Collaborate with technology teams to optimize data flow and system integration
• Ensure best practices in data governance, visualization, and statistical modeling

Required Experience

• Strong track record of managing large-scale data teams encompassing data engineering, visualization, and data science
• Advanced proficiency in statistical modeling, predictive analytics, machine learning, and time-series analysis
• Hands-on experience with tools such as Python, Java, SQL, and cloud platforms like AWS or Azure
• Deep knowledge of BI platforms such as Looker, Power BI, or Qlik
• Exceptional communication and stakeholder management skills, with the ability to influence executive leadership
• Experience with agile methodologies and working in fast-paced, resource-constrained environments
• Prior exposure to education, EdTech, or public sector organizations is beneficial but not required

Why Apply?

This is a rare opportunity to lead a high-performing data team at a values-driven organization making a measurable impact in the education space. The successful candidate will play a pivotal role in shaping enterprise data strategy and enabling innovation through analytics.

To learn more or express interest in this role, please contact Oisin Ennis at Harnham for a confidential discussion.

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Senior Manager, Data & Analytics – DTC

Location: US Remote Eligible (travel required)

Salary:$180-220K base + bonus + equity

The Opportunity

A high-growth, vertically integrated DTC brand is hiring its first Senior Manager of Data & Analytics to architect and lead the company’s data strategy from the ground up. Following a period of explosive, triple-digit revenue growth and with full control over manufacturing, fulfillment, and customer experience, the company is now ready to make data a foundational pillar of scale.

Reporting directly to the CEO, you’ll step into a pivotal, hands-on leadership role-owning everything from data architecture and infrastructure to analytics strategy, roadmap execution, and team development. You’ll build the systems and insights that power smarter decisions across marketing, supply chain, logistics, and digital experience.

This is a rare opportunity to take a blank slate and build a high-impact data function with executive backing, tangible influence, and end-to-end ownership.

What You’ll Do

• Own and execute the data vision: Evaluate the current state, define the roadmap, and implement scalable data infrastructure (Postgres, dbt, Fivetran, Omni).
• Lead from the front: Operate as a player-coach-balancing individual technical contribution with people leadership and cross-functional influence.
• Build and scale a high-impact team: Recruit and mentor data engineers, analysts, and data scientists as the function grows from 1-2 to 6-8 over time.
• Drive actionable insights: Deliver dashboards, models, and analytics that unlock better outcomes across the customer lifecycle, supply chain, and financial ops.
• Set the bar for excellence: Establish best practices in KPI design, instrumentation, experimentation, data governance, and measurement strategy.
• Collaborate cross-functionally: Partner with senior leaders across Product, Marketing, Ops, and Engineering to ensure data becomes a competitive edge.

Use Cases You’ll Own

• Multi-touch attribution, CAC optimization, and customer segmentation
• LTV and churn modeling for better retention and personalization
• Demand forecasting to optimize production and reduce inventory risk
• Factory analytics to track throughput, cycle times, and downtime
• Logistics and fulfillment insights to improve delivery efficiency
• Customer journey analysis to enhance conversion and engagement
• Product feedback loops using return rates, support tickets, and reviews

What We’re Looking For

• 7-10+ years of experience in data, analytics, or BI roles, with a track record of leadership-preferably in high-growth DTC, ecommerce, or consumer product environments.
• Proven success building a data function from the ground up-including architecture, tooling, team structure, and process implementation.
• Strong technical proficiency in SQL and Python, with a hands-on ability to build pipelines, deliver insights, and support scalable analytics solutions.
• Fluency with the modern data stack, including platforms such as dbt, Fivetran, Omni, or comparable tools.
• Thrives in fast-moving, ambiguous settings, with a bias for action and comfort making decisions without perfect information.
• Demonstrated leadership and mentorship experience, including hiring, coaching, and managing performance for technical talent.
• Willingness to travel regularly to the company’s HQ during onboarding (first 4-6 months) and periodically thereafter as needed.

Why This Role

• Greenfield Ownership: Build the function the right way-from tools and models to team and roadmap.
• Executive Visibility: Direct line to the CEO and meaningful influence on company direction.
• High-Growth Environment: Be part of a company scaling fast with clear demand for data maturity.
• Purpose-Driven Culture: Join a team passionate about product, performance, and customer happiness.

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Director of Applied Research – AI & NLP Leadership
Global SaaS & Data Intelligence Leader
Up to $570K

Mission:

We’re hiring a Director of Applied Research to spearhead next-generation AI innovation in the Tax & Trade compliance space for one of the world’s leading data & software providers. This position sits at the intersection of AI strategy, people leadership, and real-world product delivery.

In this role, you will lead a team of 20+ Applied Scientists and Research Engineers, driving the development of cutting-edge NLP and LLM-based features embedded in AI-powered assistants and classification systems used by global enterprises. You’ll shape and deliver the roadmap for intelligent automation, collaborating with cross-functional leaders in Product, Engineering, UX, Editorial and Marketing.

This is a high-impact leadership role with strategic influence across product lines, requiring both technical depth and organizational maturity. You’ll ensure scientific excellence, drive scalable production implementation (AWS), and champion a culture of innovation, collaboration and delivery.

Key Responsibilities:

• Lead, grow, and mentor a high-performing applied research team
• Own the end-to-end delivery of advanced ML/NLP features in production systems
• Drive the AI vision for enterprise-grade Tax & Trade compliance products
• Collaborate with senior product, technology, and business stakeholders
• Translate state-of-the-art research into scalable, customer-centric solutions
• Oversee a portfolio of initiatives, managing scope, budget, and staffing

Profile Sought:

• 10+ years in applied AI/ML/NLP roles (commercial / productized environments)
• 5-8 years of management experience (ideally in matrixed or global organizations)
• Proven track record deploying ML/NLP systems in production (preferably on AWS)
• Experience with LLMs, RAG, agentic frameworks, and AI assistant technologies
• Executive-level communication and cross-functional leadership
• PhD or equivalent expertise in a relevant field (AI, ML, NLP, IR)
• Bonus: Publications in top-tier conferences (ACL, NeurIPS, EMNLP, etc.)

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Backend Software Engineer
FinTech AI Startup | NYC (Hybrid)
$160,000 – $180,000 + Equity

Join a fast-growing, venture-backed AI startup on a mission to revolutionize cloud financial optimization. Based in New York’s West Village, this company is automating one of the most complex cost centers in tech. Their proprietary AI platform combines machine learning, automation, and intelligent rate optimization to help companies scale efficiently.

With recent funding secured and major growth on the horizon, they’re hiring a Backend Engineer to help scale the core infrastructure and build out a suite of API-driven, data-intensive microservices.

THE ROLE

This is a high-impact backend engineering role sitting at the intersection of software, infrastructure, and data. You’ll be working across multi-cloud environments (primarily AWS), building scalable systems for data processing, financial modeling, and automation.

You’ll work closely with the CTO and a lean team of highly skilled engineers (currently 6 total).

Expect fast build cycles, flexible working hours, and ownership from day one.

What you’ll be doing:

• Build and maintain scalable microservices using Python and serverless AWS technologies
• Design high-performance APIs and endpoints for real-time data retrieval
• Architect cloud-native infrastructure using Terraform (IaC)
• Own CI/CD workflows using GitLab Actions
• Develop and optimize large-scale data pipelines for AI/ML financial insights
• Ensure robust API security (OAuth/OpenAPI) and cloud compliance standards

THE TECH STACK

• Languages: Python, SQL
• Cloud: AWS (with exposure to GCP a plus)
• Infra: Docker, Kubernetes, Terraform
• Pipelines: ETL, unstructured-to-structured data transformation
• CI/CD: GitLab Actions

YOUR BACKGROUND

Must-haves:

• 4+ years’ experience in software engineering with cloud and data focus
• Strong expertise in AWS and Terraform
• Proven track record building data pipelines and backend APIs
• Experience working with unstructured data at scale
• Deep understanding of infrastructure and cloud cost considerations
• Clear communicator, team-first, thrives in fast-paced environments

Nice-to-haves:

• Startup experience
• Machine learning integration exposure
• GCP or multi-cloud experience
• AWS certifications

Not the right fit if: You come from a heavily siloed or large enterprise/consulting background where breadth of technical ownership was limited.

WHY JOIN?

• Equity in a fast-scaling, AI-driven FinTech
• Opportunity to join at Series A, own critical parts of the platform
• CTO-led engineering culture: collaborative, ego-free, impact-first
• Flexible hybrid model (3 days in office, no set days)
• Tech-first environment with diverse challenges-no siloes here

Perks:

• Unlimited PTO + mandatory company shutdowns in August & December
• 16-week fully paid parental leave
• 30-day sabbatical every 4 years
• Premium healthcare (75% employer-covered)
• Work-from-office in the heart of West Village
• Startup pace with mature engineering culture

INTERVIEW PROCESS

1. 15-min intro with CTO – explore your background & engineering approach
2. 30-min technical/behavioral interview – live coding + problem-solving
3. Take-home assignment (~2 hours)
4. Review session with CTO
5. Final interview with co-founders/team (remote or onsite)

They move fast-can wrap everything up within two weeks

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Principal Software Engineer – Edge Systems & Real-Time Computing
Remote (U.S. Based) | Up to $200,000 Base + Equity

THE COMPANY
We’re working with a fast-growing, mission-led technology company tackling real-world industrial challenges using a combination of edge computing, real-time analytics, and computer vision. Their product helps frontline operators in safety-critical environments make faster, more informed decisions-helping prevent equipment failure and improve on-site reliability.

The business is well-funded, backed by experienced leadership, and already delivering results in high-stakes industries. With a strong foundation in place, they’re now seeking a senior systems engineer to provide technical leadership, hands-on support, and mentorship as they scale.

THE ROLE
This is a high-impact, senior engineering position focused on building performant, real-time systems that operate on hardware in the field. You’ll work closely with the Head of Engineering to shape architecture, review and write production-level code, and help mentor more junior engineers. The ideal candidate is a seasoned systems thinker who’s confident working across hardware/software boundaries and enjoys solving deep engineering challenges under real-world constraints.

Key Responsibilities:

• Design and build software deployed on embedded or edge hardware platforms

• Optimize real-time processing pipelines for performance and reliability

• Collaborate with other engineers on system architecture and integration

• Contribute to observability, testing, and deployment of edge systems

• Provide hands-on mentorship to a small, talented engineering team

• Own and refine best practices for high-quality, maintainable code

YOUR SKILLS & EXPERIENCE
We’re looking for someone with a strong background in systems-level engineering, who’s deployed production code to hardware (not just the cloud), and is passionate about writing reliable, efficient software.

Essential Requirements:

• Deep Linux knowledge, especially around OS-level performance and debugging

• Strong programming ability in Python (must be a core engineering language for you)

• Experience shipping software to real-world devices (e.g., IoT, robotics, industrial systems)

• Track record of solving complex engineering problems with clarity and quality

• Comfort working independently and guiding others technically

Nice to Have:

• Exposure to computer vision or sensor-based systems

• Experience with image/video processing at the edge

• Familiarity with modern deployment tools for embedded/edge software

• Cloud integration experience (ideally AWS IoT or similar platforms)

• Background in C++, Go, or systems languages alongside Python

Soft Skills:

• Proven ability to mentor and guide less experienced engineers

• Comfortable rolling up your sleeves and writing production code

• Enjoys collaborative problem solving in a close-knit team

• Has likely tried management but prefers to stay hands-on in a lead role

COMPENSATION & BENEFITS:

• Up to $200,000 base salary (top of band; slight flexibility for exceptional profiles)

• Meaningful equity package

• Remote-first, U.S.-based team

• Competitive benefits package

• Opportunity to build technology that makes a real-world impact in safety-critical environments

HOW TO APPLY
If you’re an experienced systems engineer looking for a hands-on technical leadership role at a company solving meaningful, real-world problems-apply now to learn more.

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Fullstack Software Engineer – Web Application Developer
$175,000 – $190,000
US Remote (Must be based in the US)
Robotics Start-Up

Our client is a cutting-edge Computer Vision product company on a mission to improve safety in industrial environments. By applying advanced AI to construction inspection and failure prediction, they’re solving real-world challenges in high-risk industries such as utilities, mining, maritime, and construction. Their solutions are already redefining safety standards in electric utility operations, eliminating guesswork and preventing potentially catastrophic failures.

With a lean, highly skilled team, they’re building AI-powered systems that connect field operators with intelligent diagnostics through ruggedised edge devices and responsive web apps in real-time, and often in offline-first environments.

THE ROLE
This is a high-impact opportunity to own and lead the development of a mission-critical web application stack. You’ll build the interfaces that connect industrial AI edge devices to field users and central office systems. This platform is central to the company’s value proposition and user experience.

• Full ownership of the customer-facing web application stack

• Architecting resilient systems for unreliable field connectivity
• Integrating edge device data with AWS-hosted cloud infrastructure
• Designing and building scalable front-end experiences using Vue.js
• Establishing secure API contracts, identity management, and CI/CD pipelines
• Collaborating closely with AI, product, and device engineering teams
• Laying the foundation for future platform and team scaling

YOUR SKILLS AND EXPERIENCE

• You will have experience working in a robotics, Edge of IoT business.
• Expert-level experience in full-stack web application architecture
• Proven experience with real-time data systems and offline-first design
• Strong front-end skills (Vue.js preferred) and backend API design
• Experience with cloud platforms (AWS) and edge device integration
• Knowledge of best practices in identity management and web security
• Familiarity with CI/CD pipelines and deployment automation
• Ability to lead independently while communicating effectively across teams

BENEFITS

• 170,000 – 190,000 USD
• Opportunity to lead critical architecture in a greenfield enviroment
• Remote-first culture
• Direct impact on safety in a high-risk industry
• Equity on a case-by-case basis.

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Technical Co-Founder
$150,000-$200,000 + Equity (3-10%) + Quaterly Bonuses
New York City (Hybrid)
B2B SaaS Start-Up

Our client is an early-stage B2B SaaS company redefining hotel operations through intelligent automation and prompt-based UX. Built by seasoned hospitality operators with previous successful exits, they’ve gained early traction with 12 customers and are poised for growth. Their AI-first platform replaces legacy systems with smart, intuitive technology built for scale.

THE ROLE

This is a rare opportunity to join as a technical co-founder in a high-growth startup. You’ll be responsible for owning and driving the engineering strategy, building out the product architecture, and forming the foundation of the engineering team.

• Full ownership of engineering, from design to deployment
• Developing and scaling a full-stack AI-powered platform (Python, Node.js, React, AWS)
• Creating AI-driven features such as autonomous agents and generative UX components
• Working closely with the CEO to align technical decisions with commercial outcomes
• Building and leading a high-performing team as the company scales

SKILLS AND EXPERIENCE

• Educated at a Top University in Computer Science – note this needs to be a full Bachelor’s or Higher.
• Previous experience in a senior engineering or early-stage startup role
• Strong SaaS and cloud infrastructure knowledge
• Full-stack proficiency: Python, Node.js, React, AWS
• Understanding of AI/ML tools (e.g. LangChain, RAG, chatbots)
• Leadership experience and interest in managing teams
• NYC-based and looking for an in-person, high-ownership role

BENEFITS

• $150,000 – $200,000 Base
• Quaterly bonsues linked to performance
• 3-10% equity
• Chance to build something from the ground up
• Work alongisde a proven leader

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Director of Applied Science – NLP

Location: Fully Remote
Compensation: $250,000 – $275,000 base salary + bonus + equity

About the Company

We’re partnering with a forward-thinking financial services company operating in the legal space, dedicated to innovation through AI. This organization is transforming how AI serves financial and legal professionals-making processes smarter, faster, and more accessible. As they scale their product offerings, they’re seeking experienced NLP researchers to help drive novel developments. This is a high-impact opportunity to shape the future of AI in a complex, regulated industry.

About the Role

As a Director of Applied Science – NLP, you’ll be central to designing and building advanced machine learning and large language models (LLMs) specifically for the legal and financial services sectors. You’ll have the opportunity to partner with executive leadership and work across teams to bring cutting-edge AI research into production.

Key Responsibilities:

• Innovative Development: Create original machine learning and LLM solutions tailored to legal contexts and open-source ecosystems.

• Strategic Collaboration: Partner with executive leadership to define and execute technical vision and roadmap.

• Full Lifecycle Ownership: Lead projects from initial research through to deployment, including building platforms from the ground up.

• Team Management: Act as a hands-on people manager for a team of 3-5 Applied Scientists

• Model Optimization: Enhance model performance through prompt engineering, inference tuning, and iterative improvements.

• Knowledge Sharing: Contribute to internal learning and external thought leadership through presentations, mentorship, and community engagement.

• Research & Publications: Develop novel applications with the potential to lead to patents and high-impact research publications.

What We’re Looking For

We’re looking for a skilled, collaborative applied scientist with:

• 7+ years of hands-on experience in NLP, including production-level model development; previous 2 years in a people management position.

• A strong track record in building scalable NLP platforms and working with large datasets.

• Deep proficiency in Python and frameworks such as TensorFlow, PyTorch, NLTK, and spaCy.

• Experience translating research into real-world applications, from idea to deployment.

• Knowledge of state-of-the-art ML techniques related to NLP and LLMs.

• Comfort working in dynamic environments and collaborating across diverse technical and non-technical teams.

• A PhD in a relevant field such as Computational Linguistics, Computer Science, or Statistics is required.

What You’ll Get

• Competitive Salary: $250,000-$275,000 base salary + bonus + equity

• Intellectual Ownership: Opportunity to lead and publish novel research

• Comprehensive Benefits: Health coverage, retirement plans, and more

How to Apply

Please submit your resume to Tim Jonas using the “Apply” link on this page. We look forward to learning more about how your experience and passion can help shape the future of AI in legal and financial services.

Keywords:
Machine Learning | NLP | NLG | NLU | LLM | Large Language Models | AI | Generative AI | Python | TensorFlow | PyTorch | Open-Source | Legal Tech | Financial Services | Research | AI Strategy

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Principal Applied Scientist – NLP

Location: Fully Remote

Compensation: $250,000 – $275,000 base salary + bonus + benefits

About the Company:

We are partnering with a leading financial services company in the legal space, driving innovation through AI. This company is at the forefront of transforming the way AI interacts with financial and legal professionals, creating smarter, faster, and more cost-effective models. As they scale their product, they are looking for leading NLP researchers to focus on novel NLP development. This is an exciting opportunity for someone to have a significant impact on the future of AI in a highly-regulated industry.

THE ROLE

As a Principal Applied Scientist, you will play a crucial role in developing novel machine learning and LLM models tailored for the legal and financial services domain. Your work will directly shape the company’s AI capabilities, and you will report directly to the C-suite.

• Innovate and Build: Develop novel machine learning and LLM models from the ground up, tailored for the legal industry and open-source environments.
• Technical Leadership: Collaborate closely with C-suite executives to define and execute technical direction. You will be integral to decision-making and strategy.
• End-to-End Ownership: From research to production, you will lead the development of Proof-of-Concepts (PoCs) and build out platforms from scratch (0-1 development).
• Model Optimization: Lead efforts to optimize prompts, models, and inference strategies, ensuring continuous improvement and efficiency.
• Thought Leadership: Act as a thought leader in the domain of LLMs, both within the company and the broader AI community. Educate and guide non-technical stakeholders.
• Research Contribution: Own novel models and applications leading to patents and publications in top NLP journals.

YOUR SKILLS AND EXPERIENCE

We are looking for an experienced Principal Applied Scientist with the following qualifications:

• 7+ years of commercial experience in NLP, with a focus on building production-ready language-based models.
• Proven experience in building NLP platforms and working with large datasets.
• Deep expertise in Python (TensorFlow, PyTorch, NLTK, spaCy, etc.) and developing production-grade natural language / information retrieval models.
• A track record of taking models from concept to production, with hands-on experience in research and commercial deployment.
• Familiarity with advanced machine learning techniques for natural language models (NLP / LLMs).
• Comfortable working in fast-paced environments, wearing multiple hats and collaborating with both technical and non-technical teams.
• A PhD in Computational Linguistics, Computer Science, Statistics, or a related field in natural language is required.
• Publication history in top NLP journals: NeurIPS, ICLR, ACL, EMNLP, and NAACL

THE BENEFITS

• Competitive Salary: Base salary of $250,000 – $275,000.
• Novel Research: Ownership of new applications you build
• Comprehensive Benefits: Full range of health benefits, retirement plans, and more.

HOW TO APPLY

Interested candidates should submit their resume to Tim Jonas via the Apply link on this page. We are eager to hear how you can contribute to the future of AI in legal and financial services.

KEYWORDS:

Machine Learning | Natural Language Processing | Natural Language Generation | Natural Language Understanding | NLG | NLU | LLM | Large Language Models | Artificial Intelligence | Generative AI | Research | Python | TensorFlow | PyTorch | NLP | Open-Source | Legal Tech | Financial Services | AI Platforms | Thought Leader | NLP Strategy

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