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Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Machine Learning Engineer
London
£100,000-£150,000

An elite, high-growth investment firm with a global presence is looking to expand its Machine Learning team in London. With backing from major institutional capital and a strong track record in global macro strategies, the firm is scaling its data and AI capabilities to support ambitious growth plans.

This is a rare opportunity to take full ownership of the ML lifecycle in a highly selective, performance-driven environment. You’ll be joining a lean, technically advanced team working on some of the most complex forecasting and signal generation challenges in finance.

What You’ll Do:

• Design and implement end-to-end ML workflows: data ingestion, model development, and deployment
• Automate and optimize large-scale data pipelines
• Develop forecasting and signal processing models tailored to macroeconomic data
• Collaborate closely with investment professionals and data scientists
• Contribute to the build-out of scalable ML infrastructure

What We’re Looking For:

• Proven commercial experience doing hands-on ML, ideally in a fast-paced or startup environment
• Proven track record working across the full ML lifecycle
• Strong coding and data engineering skills
• Background in finance, trading, or macroeconomic forecasting is essential
• Experience deploying models into production environments

Why Join:

• Exceptional autonomy and impact in a high-performing, well-capitalised firm
• Exposure to cutting-edge macro trading strategies and unique data sets
• Collaborative, entrepreneurial culture with a strong technical foundation
• Significant growth potential as the firm continues to scale globally

This role is ideal for someone looking to apply their ML skills in a high-stakes, high-reward environment, where your work will directly influence investment decisions.

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Senior Machine Learning Engineer (Diffusion Models & Generative AI)

NEW YORK – Onsite, 5 Days/Week
Up to $200,000 + Benefits + H1B Transfer Available

Are you passionate about building cutting-edge AI systems that transform the online shopping experience? A fast-growing Series A e-commerce startup in New York is looking for a Senior ML Engineer to push the boundaries of diffusion models and generative AI for next-generation retail solutions.

Backed by leading investors and already working with top global retailers, this is your chance to join an ambitious company at a critical stage of growth. You’ll work with a world-class engineering team applying multimodal AI and diffusion models to create immersive, personalized, and automated product experiences.

THE COMPANY

This AI-powered e-commerce startup is redefining how products are discovered, designed, and purchased online. By harnessing the power of diffusion models, computer vision, and multimodal learning, they’re unlocking new ways to enrich catalogs, generate content, and personalize shopping.

With Series A funding secured, a growing team of 40+, and a strong customer pipeline, they’re tackling challenges in:

• Synthetic product image generation

• Virtual try-ons and visualization

• Automated catalog enrichment

• AI-powered personalization and search

Their mission: use generative AI to supercharge e-commerce innovation and transform the way consumers shop.

THE ROLE

As a Senior ML Engineer, you’ll take ownership of designing, training, and deploying diffusion-based generative models to power real-world e-commerce applications.

You will:

• Research, develop, and fine-tune diffusion models for product imagery, augmentation, and personalization

• Build scalable pipelines for training, evaluation, and inference with large datasets

• Work with cross-functional teams to deploy AI-powered catalog and shopping features

• Explore and adapt state-of-the-art generative AI methods (diffusion, multimodal transformers, vision-language fusion) into production systems

• Stay on top of innovations in generative AI, foundation models, and synthetic data

YOUR SKILLS & EXPERIENCE

Must-haves:

• MS or PhD in Computer Science, Machine Learning, or related field

• 5+ years of experience building and deploying ML models in production

• Strong expertise in diffusion models and/or generative modeling

• Proficiency in Python, PyTorch/TensorFlow

• Strong understanding of deep learning architectures, training optimization, and evaluation

Nice-to-haves:

• Experience in e-commerce or retail product datasets

• Exposure to multimodal systems (vision + text)

• Knowledge of LLMs or RAG pipelines for search and recommendations

BENEFITS & CULTURE

• Competitive salary up to $200K

• Full health, dental, and vision coverage

• H1B transfer sponsorship available

• Work onsite in a collaborative NYC office environment

• Daily catered lunches, team events, and a fast-paced, innovative culture

READY TO APPLY?

If you’re excited about building the future of generative AI in e-commerce, we’d love to hear from you.

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Senior Multimodal Engineer (Visual Language Models & Diffusion Models)
ONSITE NEW YORK (5 days/week)
$200,000 + Equity + Benefits

Are you passionate about building state-of-the-art AI systems that tackle real-world problems? A rapidly growing, venture-backed Series A eCommerce AI startup is looking for a Senior Multimodal Engineer with deep experience in computer vision and diffusion models to help revolutionize the way product data, images, and user interactions are understood and leveraged in online retail.

THE COMPANY

This company is reinventing how large-scale eCommerce platforms utilize AI to optimize customer journeys, automate catalog management, and generate rich product experiences. With $30M+ in funding, a team of 50+ (including 20+ engineers), and partnerships with several Fortune 500 retailers, they’re using advanced ML and multi-modal AI to streamline everything from image-based search to intelligent product tagging and auto-generated marketing content.

Their AI agents tackle some of the most pressing challenges in the space, including:

• Visual product understanding and search

• Automated attribute extraction and catalog enrichment

• AI-powered content generation and personalization

• Visual Q&A and recommendation systems

‍ THE ROLE

As a Senior Multimodal Engineer, you’ll be at the forefront of designing and deploying cutting-edge models that combine visual and textual understanding to power a new generation of intelligent eCommerce tools. A key area of focus will be diffusion models-developing, fine-tuning, and scaling them for both generative and discriminative tasks.

You’ll work closely with a cross-functional team of ML engineers, backend developers, and product leaders to embed multimodal intelligence into real-world, user-facing applications.

YOU WILL:

• Design, train, and deploy CV and generative models (with a focus on diffusion models) for a wide variety of use cases, including:

  • Product image generation/enhancement

  • Visual similarity search

  • Automated product tagging/classification

  • Visual Q&A and content synthesis

• Build and optimize scalable ML pipelines for training, evaluation, and deployment

• Work with proprietary eCommerce datasets and develop intelligent data labeling and augmentation strategies

• Implement the latest advancements in transformer-based CV models and vision-language architectures (e.g., CLIP, BLIP, DINO, SAM)

• Stay current with innovations in LLMs, multi-modal learning, and RAG pipelines, integrating them where applicable

• Collaborate on architectural decisions, contribute to research efforts, and shape the long-term AI roadmap

✅ YOUR SKILLS & EXPERIENCE

Must-haves:

• MS or PhD in Computer Science, Computer Vision, Machine Learning, or related field

• 5+ years of experience developing and deploying computer vision systems in production

• Expertise in diffusion models (e.g., Stable Diffusion, Imagen, DALL·E) and their application to visual data

• Strong programming skills in Python, with deep experience in PyTorch, TensorFlow, and OpenCV

• Solid understanding of feature extraction, model evaluation, and scalable training practices

• Familiarity with vision transformers, multi-modal architectures, and image-text pretraining

Nice-to-haves:

• Experience working with eCommerce data, product catalogs, or user-behavior datasets

• Exposure to LLM integrations, RAG systems, or hybrid generative-discriminative pipelines

• Knowledge of synthetic data generation and augmentation strategies

BENEFITS & PERKS

• Competitive salary ($200K) + meaningful equity

• 5-day/week in-office role based in New York City (Midtown Manhattan HQ)

• Comprehensive medical, dental, and vision insurance (100% covered plan available)

• Unlimited PTO and generous parental leave

• Annual L&D budget and support for conference attendance

• Daily catered lunches and regular team offsites

• A collaborative, fast-paced environment where you’ll work with some of the brightest minds in AI and eCommerce

READY TO APPLY?

If you’re excited to build next-gen AI systems that redefine how consumers interact with online retail, and you thrive in an innovative, high-performance environment, we’d love to hear from you!

To Apply for this Job Click Here

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Principal Machine Learning Engineer – Recommendation & Relevancy

Location: New York (Hybrid – 4 days onsite)

Compensation: $600,000 – $1,500,000 total package

(Base Salary: $360,000-$400,000 + Equity + Exceptional Benefits)

THE COMPANY

Join a hyper-growth global e-commerce innovator that’s reshaping how businesses deliver real-time, personalized experiences at the point of purchase. Leveraging cutting-edge AI and ML at massive scale, this organization is building the future of intelligent commerce-and you could be a key part of it.

With explosive growth, a high-caliber team, and a tech-first culture, this is a unique opportunity to drive meaningful impact in a fast-paced, data-driven environment.

THE ROLE

As a Principal Machine Learning Engineer, you’ll drive the design and deployment of large-scale, intelligent decision-making systems. From personalized recommendations to smart bidding and real-time optimization, your work will directly influence millions of transactions and customer experiences daily.

You’ll collaborate closely with product and engineering partners to build ML solutions that are both cutting-edge and production-ready.

Key Focus Areas:

• Smart bidding and budget pacing algorithms
• Real-time recommendation engines
• Lookalike modeling and customer targeting
• CTR/CVR modeling and conversion optimization

Responsibilities:

• Architect and deploy end-to-end ML solutions at scale
• Develop robust data pipelines, feature stores, and orchestration frameworks
• Build high-performance, production-grade ML models (batch & real-time)
• Lead experimentation (offline & online), including A/B testing and model tuning
• Drive engineering excellence with well-tested, maintainable, scalable code
• Mentor team members and contribute to a culture of technical growth

YOUR SKILLS & EXPERIENCE

• PhD or Master’s degree in Machine Learning, Computer Science, or a related field
• 10+ years of hands-on experience building production ML systems at scale
• Expertise in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow, Airflow)
• Deep knowledge of at least two of the following:
• Bayesian methods
• Recommender systems
• Multi-task or meta-learning
• CTR/CVR prediction models

Bonus: Experience with advanced model architectures like Deep & Cross Network v2, Multi-gate Mixture-of-Experts, or Deep & Wide Networks.

BENEFITS

• Significant equity in a high-growth tech company
• Premium, fully covered health insurance (you + family)
• 401(k) with 4% dollar-for-dollar match
• Catered lunches and daily snacks
• Global travel opportunities
• Inclusive, collaborative culture with a strong focus on innovation, diversity, and impact

✅ HOW TO APPLY

Ready to solve real-world problems at scale and push the boundaries of applied machine learning? Apply now to speak with one of our specialist recruiters and learn more about this high-impact opportunity.

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Senior Machine Learning Engineer
Dublin
€90,000-€150,000

This is a great opportunity to work for an all-in-one AI-first customer service platform – they’re heavily investing in their Machine Learning team so it’s a great time to join.

THE ROLE

As a Senior Machine Learning Engineer for the business you will:

• Working with the Machine Learning Scientists to deploy their models into production and
• Maintain models in production, testing them and making sure they run properly
• Run production ML infrastructure

SKILLS AND EXPERIENCE

• PhD / Master’s Degree in Computer Science, Maths, Engineering or AI etc
• Strong commercial experience as a Machine Learning Engineer/MLOps Engineer
• Understanding of Software Engineering principles
• Good communication skills
• Tech: Python, SQL, AWS

SALARY AND BENEFITS

• Basic salary €90,000-€150,000
• Dublin-based with hybrid working, x2 days per week in the office
• Up to 8% bonus depending on level and peformance
• Benefits package
• Relocation package

HOW TO APPLY

Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page

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Senior Machine Learning/Research Engineer

London (Old Street / Moorgate)

Up to £140,000 + bonus

About the Role

We are working with a leading quantitative technology firm that’s working at the cross roads of machine learning research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment.

This role is all about taking cutting-edge ML research projects and moving them into production – building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment.

Key Responsibilities

• Collaborate with ML scientists to ingest and process large-scale, high-frequency market data.
• Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment.
• Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading.
• Take ownership of end-to-end solutions, from research to execution.

What We’re Looking For

• 5+ years’ experience in high-level engineering roles.
• Proven track record building ML research pipelines in complex technical environments.
• Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure).
• Strong mathematical or statistical background.
• Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance.
• Independent, self-driven engineers who can own delivery without hand-holding.

Interview Process

1. Intro with hiring manager and recruiter.
2. Take-home technical test.
3. Technical interview discussing your solution.
4. Onsite with their Amsterdam team.

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Title: Staff Machine Learning Engineer

Location: Hybrid – Redwood City, CA – 3x per week

Responsibilities:

• Designing and deploying advanced feed personalization algorithms and product recommendation systems
• Building scalable user behavior modeling solutions using convolutional neural networks and transformers
• Leading development of CV-based transformer models for enhanced product discovery
• Owning the complete ML lifecycle from data exploration through model deployment and maintenance
• Architecting scalable data platforms that support real-time personalization at scale

Qualifications:

• 7+ years of hands-on experience in data science and machine learning
• Deep expertise in personalization systems, specifically feed personalization and recommendation engines
• Proven experience with user behavior modeling and customer analytics
• Strong proficiency in convolutional neural networks, transformers, and CV-based transformer architectures
• Advanced skills in Python, SQL, Spark, Scala, and PySpark
• Extensive experience with PyTorch and TensorFlow frameworks
• Track record of deploying ML models in production environments at scale
• Experience building recommendation systems for e-commerce or retail platforms
• Background in computer vision applications for product discovery
• Knowledge of real-time ML serving infrastructure and MLOps practices
• Strong understanding of A/B testing and experimentation frameworks

Summary:

Join a dynamic team that’s transforming how customers discover and engage with products. You’ll work with state-of-the-art ML technologies while seeing direct impact on user experience and business metrics. The role offers significant technical ownership and the chance to shape the future of personalization technology.

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Staff Machine Learning Engineer

SF Bay Area: Hybrid (3 days onsite/wk)

$270,000 – $325,000 Base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Engineer. Their marketplace connects buyers and sellers through personalized, trustworthy, and engaging experiences. With a strong engineering culture and a focus on applied AI, their team is building next-gen features to shape how users discover, connect, and transact.

Role

We’re looking for a Staff MLE to take technical leadership of a core AI initiative. This is a high-impact, hands-on role where you’ll architect and deploy large-scale ML systems, drive end-to-end model productionization, and influence engineering culture across squads. You’ll partner closely with data scientists and product teams to deliver real-time, intelligent features that delight users and scale globally.

Responsibilities

• Lead architecture and system design for large-scale ML systems (batch & real-time)
• Deploy experimentation-ready models into production with DS partners
• Build robust MLOps pipelines for serving, monitoring, and optimizing models
• Develop real-time inference systems, including vector database integrations
• Mentor junior engineers and foster a high-performance technical culture
• Tackle challenging problems in personalization, fraud prevention, search, and GenAI tools

Requirements

• Strong software engineering foundation with Python and backend/data systems
• Proven experience deploying ML models in production at scale
• Expertise in product recommendation and personalization
• Experience with distributed systems, performance tuning, and cost optimization
• Proficiency with PyTorch or TensorFlow, Airflow, Spark, Databricks, MLFlow
• Experience with real-time and batch pipelines, feature stores, and scalable inference
• Marketplace, e-commerce, or large-scale content platform experience
• Familiarity with GenAI/LLM ops, real-time personalization, or fraud detection

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AI Engineer / ML Engineer – CRYPTO – REMOTE

We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML.

They are seeking a skilled and driven Senior AI/ML Engineer to join their team. In this position, you will design and manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. As a Senior AI/ML Engineer, your work will be essential in enhancing the platform’s functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will be instrumental in influencing the technology’s evolution and solidifying the company’s status as a leader in blockchain analytics.

You will need:

• Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability.
• Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience.
• Stay up-to-date with the latest advancements in AI/ML and blockchain technologies, applying creative solutions to tackle complex challenges.
• Mentor junior engineers and foster best practices in AI/ML development within the team.
• Collaborate with cross-functional teams to ensure AI/ML projects align with business goals and customer requirements.

To Apply for this Job Click Here

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Senior Machine Learning Engineer

Phoenix, Arizona

4 days in office, 1 day work from home

$125,000 – $160,000 + bonus

About the Company

This Series A startup is building cutting-edge AI solutions tailored for the energy industry. Their flagship platform is a generative AI system trained on extensive energy-specific data and engineered to automate critical processes in various facilities. Whether deployed on-premise or in the cloud, their technology enhances safety, efficiency, and compliance by integrating seamlessly into the highly regulated and data-intensive world of the energy sector operations.

The company is tight-knit, mission-driven, and moving fast to modernize one of the world’s most vital industries through deep learning and domain-specific intelligence.

About the Role

This company is hiring a Senior Machine Learning Engineer to join a small, high-impact ML team and help build a novel, forecasting engine for equipment performance. This isn’t your typical production ML role – it’s ideal for candidates who enjoy academic-style research, building custom architectures from scratch, and solving hard problems that haven’t been solved before.

You’ll help design and build ML models that integrate logs, sensor data, and system interactions to help clients explain system behaviors in real time.

Role Responsibilities

• Design and build custom neural network architectures from scratch
• Develop a multimodal language model for forecasting equipment behavior using logs and performance signals
• Conduct in-depth literature reviews, define research strategies, and lead early-stage experiments
• Collaborate closely with software engineers, analysts, and domain experts to integrate your work into real-world tools used by clients
• Write clean, production-ready code for systems that support mission-critical infrastructure

Key Skill Requirements

• 4+ years of Machine Learning and/or LLM experience
• Deep knowledge of LLMs and multimodal modeling, especially models that work across text, time series, or image data
• Proficiency in PyTorch (or TensorFlow), with experience in building custom neural net architectures
• Fluency in Python with strong foundations in model development, training, and validation
• Cloud experience with AWS, Azure, or GCP
• Bonus: Docker, Linux, DevOps exposure

To Apply for this Job Click Here

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Staff Machine Learning Engineer – Pricing

We’re looking for a senior-level Machine Learning Engineer to lead the development of advanced pricing optimisation systems that directly impact millions of global users. This is a high-visibility role, supporting strategic business goals and backed by executive sponsorship. The ideal candidate will combine deep technical expertise in machine learning and optimisation with strong product intuition and the ability to deliver production-ready solutions in a dynamic, collaborative environment.

This role focuses on building intelligent pricing and promotion solutions that maximise business value while maintaining a seamless customer experience. You’ll be part of a multidisciplinary team driving key business outcomes through data science, software engineering, and applied machine learning.

Key Responsibilities

• Lead the design and implementation of ML models for pricing elasticity, cannibalisation analysis, and multi-period promotional planning.

• Develop and deploy time-series forecasting models to estimate product demand across markets and product categories.

• Build optimisation workflows (e.g., with OR-Tools) to balance growth objectives with business constraints.

• Enhance clustering algorithms for product grouping and similarity detection, improving pricing strategies.

• Own the full ML lifecycle-from feature engineering and model training to validation, deployment, and performance monitoring.

• Apply a wide range of machine learning and deep learning techniques (e.g., classification, regression, time series, uplift modeling).

• Partner with product managers, analysts, and other engineering teams to translate business problems into scalable ML solutions.

• Collaborate with systems engineering teams to support the seamless integration of ML models into production environments.

• Mentor junior engineers and contribute to the overall technical vision and ML/AI strategy.

• Play a key role in shaping product and technology roadmaps through thought leadership and technical expertise

Please note the role will require travel to Dublin 1-2 times a month, which will not be expensed

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