To Apply for this Job Click Here

Senior Computer Vision Engineer

Hybrid- New York City

$190,000 – $210,000

THE COMPANY

Harnham is currently partnered with a data driven fintech company that is spreading innovation across the construction industry. Their founding team comes from big tech organizations (LinkedIn, Uber, SpaceX) where they have successfully built and deployed software into the construction space.The ideal candidate will have a proven track record of leveraging machine learning and artificial intelligence to drive business insights and improve operational efficiency and a high level individual contributor.

THE ROLE

• Develop and optimize computer vision algorithms to analyze athletic performance and injury risk.
• Process and interpret visual data, including video streams, images, and sensor outputs.
• Build and maintain systems for object detection, pose estimation, and motion analysis.
• Design models to detect and track movement patterns critical to sports and injury prevention.
• Collaborate with data scientists and engineers to integrate computer vision models into production systems.
• Conduct experiments to improve model performance and scalability.
• Explore new applications of computer vision in the sports domain and identify areas for growth and innovation.
• Optimize data infrastructure to efficiently handle large-scale video and sensor data.
• Work closely with the leadership team to align computer vision initiatives with broader business goals.

YOUR SKILLS AND EXPERIENCE

• Prior experience in a high-growth start-up environment or the sports industry is highly desirable.
• Extensive experience with computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
• Proven success driving projects from ideation to deployment in computer vision applications.
• Expertise in developing and deploying models for tasks such as object detection, pose estimation, and image segmentation.
• Familiarity with large-scale video processing and real-time performance optimization.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proficiency in Python and experience with related libraries and tools.

BENEFITS

As a Senior CV Engineer, you can expect to earn up to $210,000 (depending on experience), highly competitive benefits, and equity.

HOW TO APPLY

Please register your interest by sending your Resume to Grace McCarthy via the Apply link on this page

KEYWORDS

Machine Learning | Computer Vision | NLP | Natural Language Processing| LLM | AI | Python | SQL | Deep Learning | Data Modeling | RAG | Start Up | OCR | Optical Character Recognition | Construction | OpenCV

To Apply for this Job Click Here

To Apply for this Job Click Here

Vice President of AI & Automation

Hybrid- (4 days onsite in NYC)

Private Equity

$240,000-$260,000 base + bonus

We are partnering with a global private equity firm with a strong presence across real estate, credit platforms, and financial services. They are committed to leveraging AI and automation to enhance risk analysis, fraud detection, and operational efficiencies.

As they continue integrating AI into their business, they seek a Director of AI to build and lead an AI function that will connect LLMs to financial risk models, improve credit assessment automation, and enhance fraud detection strategies.

The Role

This position will establish and lead the company’s AI & automation division, driving cutting-edge machine-learning solutions to optimize credit risk assessment, underwriting, and fraud detection. You will have the opportunity to define the AI roadmap, build a high-performing team, and work directly with executive leadership and key stakeholders while still being technically hands-on.

Key Responsibilities

• Develop and implement AI agents for fraud detection, risk mitigation, and financial automation.
• Build AI-driven credit risk assessment and underwriting models to improve decision-making.
• Connect ChatGPT and LLMs to internal financial risk models for more reliable, explainable insights.
• Hire, manage, and mentor a growing AI team within the organization.
• Collaborate with C-level executives, risk teams, and IT departments to integrate AI solutions into business operations.
• Communicate technical roadmap and projects to non-technical stakeholders
• Experience with Python, Azure, and related technologies

Your Background and Expertise

• Proven experience in AI/ML in financial services, consulting, or related industries
• Experience utilizing AI for fraud detection, risk modeling, or financial automation
• Hands-on technical leader with expertise in AI model development and deployment
• Experience with leadership and managing AI-driven transformations
• Player-coach mentality-strong coding and model-building skills while also leading and mentoring a team
• Excellent communication skills – able to explain AI concepts to non-technical stakeholders

How To Apply

If you have experience in financial services and consulting and are technically strong in building AI models. Send your resume to Virginia via the link below.

Keywords

LLMs | Generative AI | Fraud Detection AI | Risk Modeling | Credit Risk Assessment | Machine Learning Engineering | Python | Azure | AI-Driven Automation | NLP | Compliance

To Apply for this Job Click Here

To Apply for this Job Click Here

STAFF MOBILE ENGINEER
E-COMMERCE
NEW YORK, NY (HYBRID)
$200,000 – $240,000 + EQUITY

THE COMPANY

A fast-growing consumer marketplace startup is scaling its platform to meet increasing demand. Their product enables users to access premium experiences typically reserved for members or guests. With a lean and high-impact engineering team, they are focused on building a seamless and high-performance mobile experience.

THE ROLE – STAFF MOBILE ENGINEER

As a Staff Mobile Engineer, you’ll be instrumental in developing and optimizing the company’s mobile app to ensure a scalable, high-performance, and visually stunning user experience.

Key responsibilities include:

• Building and maintaining a cross-platform mobile app with a focus on scalability and performance.
• Developing a seamless user experience that aligns with the company’s growing marketplace.
• Collaborating with backend engineers, designers, and product teams to create intuitive and responsive interfaces.

SKILLS AND EXPERIENCE

• Computer Science Degree
• Experience in recognizable tech companies with strong engineering practices.
• Proficiency in Flutter
• Strong communication skills and ability to influence technical decisions.
• Experience with both iOS and Android development.

BENEFITS

Competitive salary ($200K-$240K) + equity

HOW TO APPLY

Please register your interest by sending your resume to Malia Jalbert via the Apply link on this page.

KEYWORDS

Mobile, Software Engineer, Flutter, React Native, iOS, Android, UX/UI, Performance Optimization, Consumer Marketplace, NYC, Hybrid.

To Apply for this Job Click Here

To Apply for this Job Click Here

STAFF FRONTEND ENGINEER
E-COMMERCE
NEW YORK, NY (HYBRID)
$200,000 – $240,000 + EQUITY

THE COMPANY

A fast-growing consumer marketplace startup is scaling its platform to meet increasing demand. Their product enables users to access premium experiences typically reserved for members or guests. With a lean and high-impact engineering team, they are focused on building a seamless and high-performance user experience.

THE ROLE – STAFF FRONTEND ENGINEER

As a Staff Frontend Engineer, you’ll be instrumental in developing and optimizing the user-facing experience of the platform. This is a hands-on role focused on React development, performance optimization, and frontend architecture.

Key responsibilities include:

• Developing and optimizing frontend architecture for scalability and performance.
• Building and maintaining React-based web applications with a seamless UX.
• Collaborating with backend engineers and designers to create intuitive interfaces.

SKILLS AND EXPERIENCE

• Computer Science Degree
• Experience in recognizable tech companies with strong engineering practices.
• Strong proficiency in React and modern frontend development.
• Strong communication skills and ability to influence technical decisions.
• Experience with performance optimization and scalable frontend systems.
• Search Engine Optimization (SEO) is ideal.

BENEFITS

Competitive salary ($200K-$240K) + equity

HOW TO APPLY

Please register your interest by sending your resume to Malia Jalbert via the Apply link on this page.

KEYWORDS

Frontend, Software Engineer, React, JavaScript, TypeScript, UI/UX, Performance Optimization, Scalable Frontend, Consumer Marketplace, NYC, Hybrid

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Pricing Data Scientist
Retail & Consumer Goods
Remote
Salary: $160,000-$180,000

About the Company

Harnham is partnering with a leading national provider of home services and parts distribution, serving both direct-to-consumer and business-to-business markets. With a vast customer base and a strong market presence, our client is undergoing a data-driven transformation to optimize pricing strategies and enhance profitability.

As they expand their analytics capabilities, they are seeking a Principal Pricing Data Scientist to lead the development and execution of pricing models that maximize revenue and maintain competitiveness across their service operations and parts distribution business.

The Role

As the Principal Pricing Data Scientist, you will play a pivotal role in shaping pricing frameworks that drive business performance. This strategic leadership position requires expertise in pricing optimization, statistical modeling, and data-driven decision-making across both B2B and B2C channels.

Key Responsibilities

• Develop and execute pricing strategies for B2B and B2C channels, focusing on service operations and parts distribution.

• Build analytical frameworks to assess price elasticity, customer behavior, and market trends.

• Lead quantitative analysis of historical pricing data to uncover revenue opportunities and validate pricing models.

• Design standardized pricing models that incorporate labor costs, parts costs, and overhead while maintaining competitive positioning.

• Develop and maintain pricing tools and dashboards to track performance and inform decision-making.

• Collaborate with operations teams to understand cost structures and implement profitable pricing strategies.

• Conduct competitive analysis to refine pricing approaches and strengthen market positioning.

• Drive continuous innovation in pricing methodologies using advanced analytics and AI-driven insights.

Your Skills and Experience

Required:

• 5-6 years of experience in pricing strategy and analytics.

• Proven expertise in developing pricing strategies for both B2B and B2C markets.

• Strong proficiency in SQL, Python, or R for data analysis.

• Experience applying AI and machine learning techniques to pricing optimization.

• Ability to translate complex data into actionable pricing strategies.

• Strong stakeholder management and communication skills.

Preferred:

• Experience in service industry pricing or parts distribution.

• Background in field service operations or the appliance industry.

• Familiarity with price optimization software and tools.

• Experience with price elasticity modeling and customer behavior analysis.

How to Apply

If you’re a data-driven pricing expert looking to make a high-impact move, apply now! For more information, please reach out to Oisin Ennis

To Apply for this Job Click Here

To Apply for this Job Click Here

STAFF BACKEND ENGINEER
E-COMMERCE
NEW YORK, NY (HYBRID)
$200,000 – $240,000 + EQUITY

THE COMPANY
A fast-growing consumer marketplace startup is scaling its platform to meet increasing demand. Their product enables users to access premium experiences typically reserved for members or guests. With a lean and high-impact engineering team, they are focused on building scalable and high-performance backend systems.

THE ROLE – STAFF BACKEND ENGINEER
As a Staff Backend Engineer, you’ll be instrumental in scaling backend architecture and infrastructure to support platform growth. This is a hands-on role with an emphasis on search functionality, system design, and performance optimization.
Key responsibilities include:

• Designing and optimizing backend infrastructure (AWS).
• Driving architectural decisions to enhance scalability and efficiency.
• Improving search functionality to enhance user experience.

SKILLS AND EXPERIENCE

• Computer Science Degree
• Experience in recognizable tech companies with strong engineering practices.
• Strong communication skills and ability to influence technical decisions.
• Experience with dynamic search implementations.
• Ruby on Rails experience.

BENEFITS
Competitive salary ($200K-$240K) + equity

HOW TO APPLY
Please register your interest by sending your resume to Malia Jalbert via the Apply link on this page.

KEYWORDS
Backend, Software Engineer, AWS, Ruby on Rails, Node.js, Search, System Design, Infrastructure, Consumer Marketplace, NYC.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Machine Learning Engineer – AdTech

REMOTE

$220,000 – $240,000 + bonus + benefits

THE COMPANY

This company is an innovative advertising agency that’s disrupting the adtech/marketing industry. They’ve built a brand new product that uses the power of AI to create revenue-producing, real-time customer analytics. They are looking for an experienced ML Engineer to own brand-new ML projects as they expand their customer base.

RESPONSIBILITIES

• Build and deploy machine learning models to optimize and maximize the potential of the company’s platform in real-time bidding and auction engines
• Own initiatives to discover trends and patterns in the advertising industry
• Contribute to the company’s machine learning strategy
• Partner with cross-functional departments (engineering, product, marketing, advertising)
• Own ML projects from end-to-end, mentor junior team members
• Serve as a subject matter expert for the business and interact with stakeholders

SKILLS AND EXPERIENCE

• MS or PhD degree in Computer Science, Statistics, Mathematics, or STEM field
• 5-7 years of commercial experience
• Domain experience within AdTech/MarTech or related field a plus
• History of leading machine learning projects end-to-end
• Comfortable partnering with non-technical stakeholders
• Expert with Python (particularly statistical packages), TensorFlow, PyTorch or Keras
• Track record of leading revenue-impactful projects
• Experience with real-time bidding (RTB) or auction engines for advertising, personalization or recommendation/recommender engines
• Fluent in understanding customer / consumer data a plus
• Ability to show examples of outside-the-box thinking
• Comfortable in autonomous and collaborative settings

BENEFITS

The compensation package contains a base salary, a bonus, and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Data Science | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

To Apply for this Job Click Here

To Apply for this Job Click Here

THE COMPANY

My client is a fast-growing private equity firm with a portfolio of billion-dollar companies. They are hiring a Lead Machine Learning Engineer to drive AI and machine learning initiatives, building advanced models that support both internal operations and client strategies. This role offers the opportunity to take ownership of key AI projects while mentoring junior team members.

THE ROLE

As a Lead ML Engineer, you will:

• Develop and deploy machine learning and NLP/LLM models for business transformation.
• Work closely with internal teams and clients to implement AI-driven solutions.
• Lead AI initiatives across investment risk, compliance, and automation.
• Guide and mentor junior engineers while collaborating with senior stakeholders.
• Help design AI strategies that enhance business performance and uncover new opportunities.

YOUR SKILLS & EXPERIENCE

The ideal candidate will have:

• 6+ years of experience in AI/ML development.
• A degree in a quantitative or STEM field.
• Strong ability to communicate technical concepts to non-technical stakeholders.
• Experience leading ML projects and mentoring junior team members.
• Expertise in NLP, including text summarization, classification, and entity extraction.
• Proficiency in Python and NLP libraries (spaCy, NLTK, gensim, BERT, etc.).
• Familiarity with cloud platforms (Azure preferred but not required).
• Exposure to data visualization tools.
• Consulting experience is a plus.

THE BENEFITS

• Competitive base salary of $200,000-230,000
• Bonus and full benefits package
• Opportunity to lead AI-driven initiatives in a high-growth firm

HOW TO APPLY

Register your interest by sending your resume to Jack Wolf via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

THE COMPANY
My client is a rapidly growing private equity firm with a portfolio of billion-dollar companies. They are hiring their first Director of AI to spearhead machine learning initiatives and advise clients on strategic transformation. This is a hands-on leadership role, offering the opportunity to build AI-driven solutions while scaling a team over the next year.

THE ROLE
As Director of AI, you will:

• Partner with engineering teams to develop ML-based solutions for clients.
• Drive AI initiatives across investment risk, compliance, and internal automation.
• Build and deploy machine learning/LLM products within the first few months.
• Help clients track key metrics using NLP, LLMs, and machine learning models.
• Develop AI strategies that give clients a competitive edge in their industries.

YOUR SKILLS & EXPERIENCE
The ideal candidate will have:

• 7+ years of commercial experience in AI/ML.
• A degree in a quantitative or STEM field.
• Proven ability to communicate with and influence non-technical stakeholders.
• Experience leading end-to-end ML projects and mentoring team members.
• Strong background in NLP, including text summarization, classification, and entity extraction.
• Expertise in Python and NLP libraries (spaCy, NLTK, gensim, BERT, etc.).
• Exposure to data visualization tools.
• Experience with Azure (preferred but not required).
• Consulting experience is a plus.

THE BENEFITS

• Competitive base salary of $240,000-260,000
• Bonus and full benefits package
• Opportunity to shape AI strategy and build a high-impact team

HOW TO APPLY
Register your interest by sending your resume to Jack Wolf via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Applied Machine Learning Engineer (AdTech Focused)

Hybrid (4 days a week in NYC) or Remote

$180,000 – $200,000 USD/yr + bonus

Our client is a cutting-edge technology company creating machine learning models to optimize all aspects of the advertising process. They specialize in automating and enhancing ad performance through AI-driven solutions, breaking down traditional marketing silos, and integrating creative, media, and performance strategies to drive measurable business growth. They are rapidly scaling their technology team to revolutionize the industry.

THE ROLE

As an Applied Machine Learning Engineer, you will fully own end-to-end machine learning model development, focusing on one model at a time while collaborating with domain experts, engineers, and business stakeholders. Your work will directly impact advertising performance, optimizing campaigns through cutting-edge ML solutions.

Key Responsibilities:

• Develop, deploy, and maintain production-level machine learning models that are used by real customers at scale.
• Work closely with domain experts and engineering teams to integrate ML solutions into a high-performance adtech platform.
• Implement models in a cloud environment (AWS, GCP, or Azure) with flexible infrastructure considerations.
• Fine-tune large language models (LLMs), diffusion models, and other advanced techniques to optimize ad performance.
• Contribute to ad hoc projects that drive innovation in ad optimization and personalization.
• Monitor and continuously improve deployed models to maintain accuracy, scalability, and efficiency.

YOUR SKILLS AND EXPERIENCE

• Strong track record of developing and deploying ML models that have been used by real users.
• Proficiency in Python (TensorFlow, PyTorch) with hands-on experience in ML model development and deployment.
• Experience working in AdTech or related fields where optimizing advertising performance through ML is a key focus.
• Ability to manage multiple domain knowledge experts and drive cross-functional collaboration.
• Strong problem-solving skills with a laser focus on execution and impact.
• Comfortable with minimal hand-holding; thrives in a fast-paced, technology-driven environment.
• Experience at best-in-class ML organizations (e.g., Affirm, Nubank, FAANG, or leading ML-focused companies in their respective industries).
• Open to candidates from diverse educational backgrounds (BS/MS/PhD) as long as they have built ML systems at scale.
• Preference for candidates with stable work histories.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus but not mandatory.

WHY JOIN?

• Work at the intersection of machine learning and AdTech, building models that directly impact major advertising campaigns and are used by real customers.
• Collaborate with a highly skilled, tech-forward team of ML engineers, data scientists, and software developers.
• Opportunity to work on cutting-edge projects involving LLMs, diffusion models, and real-time ad optimization.
• Competitive salary, performance-based bonuses, and potential relocation support.
• Join a company that is reshaping the marketing landscape through AI-driven automation.

HOW TO APPLY

If you have built ML models that have been used at scale and want to shape the future of AdTech, we encourage you to apply.

Register your interest by submitting your resume via the Apply link on this page.

KEYWORDS:

Machine Learning | AdTech | Model Deployment | AI | LLM | Recommendation Systems | NLP | Contextual Bandit | Deep Neural Networks | Python | TensorFlow | PyTorch | AWS | GCP | Azure | Docker | Kubernetes | MLflow | Kubeflow

To Apply for this Job Click Here

To Apply for this Job Click Here

Machine Learning Engineer (AdTech Focused)
Hybrid (4 days a week in NYC, preference for Long Island City)
$200,000 – $220,000 USD/yr + bonus

Our client is a cutting-edge technology company creating machine learning models to optimize all aspects of the advertising process. They specialize in automating and enhancing ad performance through AI-driven solutions, breaking down traditional marketing silos, and integrating creative, media, and performance strategies to drive measurable business growth. They are rapidly scaling their technology team to revolutionize the industry.

THE ROLE
As a Machine Learning Engineer, you will take full ownership of end-to-end machine learning model development, focusing on one model at a time while collaborating with domain experts, engineers, and business stakeholders. Your work will directly impact advertising performance, optimizing campaigns through cutting-edge ML solutions.

Key Responsibilities:

• Develop, deploy, and maintain production-level machine learning models that are used by real customers at scale.
• Work closely with domain experts and engineering teams to integrate ML solutions into a high-performance adtech platform.
• Implement models in a cloud environment (AWS, GCP, or Azure) with flexible infrastructure considerations.
• Fine-tune large language models (LLMs), diffusion models, and other advanced techniques to optimize ad performance.
• Contribute to ad hoc projects that drive innovation in ad optimization and personalization.
• Monitor and continuously improve deployed models to maintain accuracy, scalability, and efficiency.

YOUR SKILLS AND EXPERIENCE

• Strong track record of developing and deploying ML models that have been used by real users.
• Proficiency in Python (TensorFlow, PyTorch) with hands-on experience in ML model development and deployment.
• Experience working in AdTech or related fields where optimizing advertising performance through ML is a key focus.
• Ability to manage multiple domain knowledge experts and drive cross-functional collaboration.
• Strong problem-solving skills with a laser focus on execution and impact.
• Comfortable with minimal hand-holding; thrives in a fast-paced, technology-driven environment.
• Experience at best-in-class ML organizations (e.g., Affirm, Nubank, FAANG, or leading ML-focused companies in their respective industries).
• Open to candidates from diverse educational backgrounds (BS/MS/PhD) as long as they have built ML systems at scale.
• Preference for candidates with stable work histories.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus but not mandatory.

WHY JOIN?

• Work at the intersection of machine learning and AdTech, building models that directly impact major advertising campaigns.
• Collaborate with a highly skilled, tech-forward team of ML engineers, data scientists, and software developers.
• Opportunity to work on cutting-edge projects involving LLMs, diffusion models, and real-time ad optimization.
• Competitive salary, performance-based bonuses, and potential relocation support.
• Join a company that is reshaping the marketing landscape through AI-driven automation.

HOW TO APPLY
If you have built ML models that have been used at scale and want to shape the future of AdTech, we encourage you to apply.

Register your interest by submitting your resume via the Apply link on this page.

KEYWORDS: Machine Learning | AdTech | Model Deployment | AI | LLM | Recommendation Systems | NLP | Contextual Bandit | Deep Neural Networks | Python | TensorFlow | PyTorch | AWS | GCP | Azure | Docker | Kubernetes | MLflow | Kubeflow

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Pricing Strategy & Analytics
Retail & Consumer Goods
Remote
Salary: $160,000-$180,000

About the Company

Harnham is partnering with a leading national provider of home services and parts distribution, serving both direct-to-consumer and business-to-business markets. With a vast customer base and a strong market presence, our client is undergoing a data-driven transformation to optimize pricing strategies and enhance profitability.

As they expand their analytics capabilities, they are seeking a Head of Pricing Strategy & Analytics to lead the development and execution of pricing models that maximize revenue and maintain competitiveness across their service operations and parts distribution business.

The Role

As the Head of Pricing Strategy & Analytics, you will play a pivotal role in shaping pricing frameworks that drive business performance. This strategic leadership position requires expertise in pricing optimization, statistical modeling, and data-driven decision-making across both B2B and B2C channels.

Key Responsibilities

• Develop and execute pricing strategies for B2B and B2C channels, focusing on service operations and parts distribution.

• Build analytical frameworks to assess price elasticity, customer behavior, and market trends.

• Lead quantitative analysis of historical pricing data to uncover revenue opportunities and validate pricing models.

• Design standardized pricing models that incorporate labor costs, parts costs, and overhead while maintaining competitive positioning.

• Develop and maintain pricing tools and dashboards to track performance and inform decision-making.

• Collaborate with operations teams to understand cost structures and implement profitable pricing strategies.

• Conduct competitive analysis to refine pricing approaches and strengthen market positioning.

• Drive continuous innovation in pricing methodologies using advanced analytics and AI-driven insights.

Your Skills and Experience

Required:

• 5-6 years of experience in pricing strategy and analytics.

• Proven expertise in developing pricing strategies for both B2B and B2C markets.

• Strong proficiency in SQL, Python, or R for data analysis.

• Experience applying AI and machine learning techniques to pricing optimization.

• Ability to translate complex data into actionable pricing strategies.

• Strong stakeholder management and communication skills.

Preferred:

• Experience in service industry pricing or parts distribution.

• Background in field service operations or the appliance industry.

• Familiarity with price optimization software and tools.

• Experience with price elasticity modeling and customer behavior analysis.

How to Apply

If you’re a data-driven pricing expert looking to make a high-impact move, apply now! For more information, please reach out to Oisin Ennis

To Apply for this Job Click Here