Machine Learning Engineer Jobs

Our client, an innovator in the eCommerce industry, is hiring a Lead Machine Learning Engineer to join their New York team remotely. The successful candidate will play a pivotal role in shaping the future of their marketplace by developing intelligent, data-driven products that enhance user experience and fuel business growth. This includes optimising search and ranking, building impactful recommendation models and developing scalable systems that serve millions of users.


Responsibilities

• Lead the design, development and deployment of scalable machine learning models across key domains such as search relevance, advertising, pricing and recommendations.

• Architect and implement robust, production-ready pipelines and REST APIs to deliver models at scale.

• Partner closely with product managers, engineers and cross-functional stakeholders to translate business requirements into effective technical solutions.

• Explore, prototype and assess new algorithms and emerging technologies to drive continuous innovation.

• Take full ownership of machine learning initiatives, from ideation and data analysis through to deployment, monitoring and ongoing optimization.

Skillset

• At least 5 years of hands-on experience developing and deploying machine learning models in production environments.

• Deep knowledge of core ML techniques, including classification, regression, ranking and recommendation systems.

• Proficiency in Python and modern ML frameworks such as Scikit-learn, TensorFlow or PyTorch.

• Strong software engineering fundamentals, with experience building production-grade services and REST APIs.

• Practical experience working with cloud platforms such as AWS, GCP or Azure.

• Exposure to Large Language Models (LLMs) and their use in search, recommendations, or related applications is a big plus.

• Familiarity with MLOps tools and practices, including platforms like MLflow or Kubeflow.

• Experience working within e-commerce or online marketplace environments is a bonus.

Benefits

• Salary:  $160,000–$200,000 DOE

• Equity.

• Comprehensive benefits package.

• Remote working options.

Our client, an AI-driven organization, is hiring an AI Engineer to join their team remotely. The successful candidate will play a key role in developing and implementing real-world AI solutions that deliver measurable impact, with a focus on applying cutting-edge artificial intelligence to environmental and sustainability systems.


Responsibilities

• Design and develop AI systems and tools that enhance and integrate with the company’s software platforms.

• Research, design and prototype innovative AI, machine learning and data science solutions.

• Partner with software engineers, developers and subject matter experts to transform business challenges into effective technical outcomes.

• Build a deep understanding of domain-specific knowledge to define problems clearly and deliver measurable results.

• Oversee the complete AI development lifecycle, including data preparation, exploratory analysis, model building, deployment, monitoring and ongoing optimization.

• Collaborate seamlessly with a globally distributed, remote team across multiple time zones.

Skillset

• Bachelor’s degree or higher in Computer Science, Data Science or similar.

• At least 3 years of experience developing reinforcement learning (RL) solutions or at least 2 years building solutions with LLMs and RAG.

• Minimum of 3 years of software development experience with strong proficiency in Python (including NumPy, Torch, or similar frameworks).

• Experience working with IoT and time-series data.

• Proficiency with AWS and/or Docker environments.

• Practical knowledge of MLOps principles and implementation.

• Experience applying AI in industrial process control applications.

• Working understanding of Test-Driven Development (TDD).

• A proactive, self-motivated approach with a strong focus on software quality, scalability and craftsmanship.

• Hands-on experience working with real-world, unstructured or noisy data.

Benefits

• Salary: Circa. $150k

• Equity.

• Fully remote working environment.

Our client, an AI-driven organization, is hiring an AI Engineer to join their growing team in Massachusetts. The successful candidate will be responsible to design, develop and implement AI-driven solutions that enhance efficiency, sustainability and performance across their technology platforms.


Responsibilities

• Design, develop and deploy AI systems and tools within the organization’s software ecosystem.

• Research, architect and prototype innovative AI/Machine Learning solutions to solve real-world problems.

• Communicate AI insights and best practices across multidisciplinary teams, including software, engineering and business functions.

• Partner with subject matter experts to define, refine and evaluate AI problem statements and performance metrics.

• Manage the complete AI development lifecycle - from data preparation and model creation to deployment, monitoring and ongoing optimization.

• Collaborate seamlessly with a remote, globally distributed team operating across multiple time zones.

Skillset

• Bachelor’s degree or higher in Computer Science, Data Science or similar.

• At least 3 years of experience developing Reinforcement Learning (RL) solutions, or working with LLMs and RAG implementations.

• Strong software development experience with strong proficiency in Python, including NumPy and PyTorch.

• Demonstrated ability to process and analyze complex, real-world datasets.

• Hands-on experience with IoT and time-series data.

• Practical experience with AWS, Docker, or similar cloud/container technologies.

• Solid understanding of MLOps practices and workflows.

• Familiarity with AI-driven industrial process control applications.

• Working knowledge of Test-Driven Development (TDD) principles.

• Proven experience collaborating with distributed, global teams.

Benefits

• Salary: $150k 

• Equity.

Our client, a leading innovator in Insurance industry, are hiring an AI Engineer to join their growing team in New York. The successful candidate will play a key role in executing the company’s AI strategy, along with designing, building and integrating intelligent, reliable and scalable AI-driven features into their core applications using modern web frameworks and cloud infrastructure.


Responsibilities

• Partner with product, engineering and design teams to uncover user challenges and deliver generative AI solutions using modern software development practices.

• Build end-to-end AI integrations across the full stack - frontend, backend and infrastructure - embedding intelligence directly into applications.

• Create smart search and information retrieval systems that enable users to access relevant data quickly and efficiently.

• Design and implement robust interactions with foundation models (e.g. GPT-4, Claude, Gemini) to ensure reliable and consistent performance.

• Deliver AI-powered features that uphold the highest standards of scalability, security and performance.

Skillset

• Minimum of 5 years of experience building modern full-stack web applications with Python and JavaScript/TypeScript.

• Practical experience integrating foundation models via direct API connections.

• Demonstrated ability to translate user challenges into elegant technical solutions and lead initiatives that deliver engaging AI experiences.

• Proficient across the full application stack, from frontend to backend and infrastructure.

• Knowledge of tool calling, multi-agent systems, and emerging frameworks such as Model Context Protocol (MCPs).

• Hands-on experience with Machine Learning (PyTorch, scikit-learn) and deploying proprietary or open-source models.

• Strong communication skills with a proven ability to collaborate effectively with cross-functional teams.

Benefits

• Salary: $170k - $200k

• Stock options.

• Healthcare, vision and dental insurance.

Our client, a fast-growing AdTech organization, is hiring a Machine Learning Engineer/Tech Lead to join their team in California. The successful candidate will build and scale advanced systems for prediction, recommendation and generative AI, as well be responsible for solving complex, large-scale machine learning challenges and delivering cutting-edge solutions.


Responsibilities

• Design, train and deploy ML models and large-scale systems for prediction, recommendation and content generation.

• Tackle advanced use cases including CTR/CVR prediction, ranking, fraud detection and cutting-edge generative methods (LLMs, transformers, diffusion models).

• Develop scalable algorithms combining deep learning, regression and hybrid rule-based techniques.

• Diagnose and resolve performance bottlenecks across infrastructure, tools and pipelines.

• Rapidly prototype, experiment and iterate on models using massive, real-world datasets.

• Guide and mentor junior engineers, and lead small technical projects when required.

• Leverage distributed computing and GPU environments to optimize model training and deployment.

Skillset

• Master’s or Bachelor’s degree in Computer Science, Engineering, Applied Sciences, Mathematics or similar.

• At least four years of experience in software engineering or applied Machine Learning.

• Proven record of building and deploying large-scale ML systems in production.

• Experience driving technical direction, mentoring teams or leading cross-functional projects.

• Strong foundation in algorithms, data structures and ML fundamentals.

Benefits

• Competitive compensation.

• Comprehensive benefits package.

Our client, a fast-growing AdTech organization, is hiring an AI Research Engineer to join their team in California. The successful candidate will work closely with the Chief AI Scientist and research group to create and implement state-of-the-art AI models driving the company’s cutting-edge advertising technology.


Responsibilities

• Lead the end-to-end lifecycle of AI projects, from concept and design through to deployment.

• Research, design and experiment with LLM and multimodal models, advancing the state of generative AI.

• Partner with product and engineering teams to translate research outcomes into production-ready solutions.

• Contribute to cutting-edge research suitable for publication in leading AI conferences and journals.

Skillset

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning or similar.

• Solid understanding of algorithms, linear algebra, statistics and machine learning fundamentals.

• Strong programming proficiency in Python and modern ML frameworks such as TensorFlow or PyTorch.

• Demonstrated curiosity, creativity and passion for tackling complex technical challenges.

Benefits

• Salary: $190k - $250k DOE.

• Comprehensive benefits package.

Staff Machine Learning Engineer
Location: Remote

Are you tired of being kept in a restricted creative box with limited autonomy to push boundaries and ideas to solve problems with ML? 

Or not seeing your work directly impact the companies mission? 

If so , my HealthTech client is looking for a Staff ML Engineer who will love being in an autonomous environment where you will be given a problem area but full autonomy to be creative, push new ideas and build the ML solutions you feel is best. 

You'll join a smart and curious team who like to be challenged working on areas like Recommender Systems, LLMs & NLP, Timeseries and MLOps.

You'll achieve success here by combining your technical ML/AI end-to-end building skills with high positive energy and clear articulate communication skills. 

What else is in it for you? 

• Base Salary from 210-260k 
• Equity/Stocks

What do you need to be successful? 

• Are a technical leader who can work and manage their own projects and solutions with full autonomy. Like a Staff/ Principal ML Engineer / Scientist
• You can clearly articulate your thoughts and write and communicate them clearly.
• Build ML/AI solutions end to end in the ML Lifecycle from research to production
• Comfortable with being challenged and taking feedback to build better solutions with the right outcomes
• Can move with speed and intent and comfortable with life building a startup/scaleup

Interested? Click the apply or For more info reach out at anthonyh@alldus.com

Our client, a fast-growing healthcare organization, are hiring a Machine Learning Engineer to join the team in New York or San Francisco. The successful candidate will play a key role in shaping the future of conversational AI by driving meaningful improvements in patient outcomes and transforming the way healthcare systems engage and communicate.


Responsibilities

• Develop and implement machine learning models tailored for SMS and voice-enabled conversational AI.

• Create scalable pipelines to support data ingestion, model training and real-time deployment.

• Fine-tune large language models using healthcare-focused datasets to enhance accuracy and relevance.

• Collaborate with full-stack engineering teams to seamlessly integrate AI capabilities into core product experiences.

• Lead the full lifecycle of model deployment, including monitoring, troubleshooting and iterative optimization.

• Continuously explore emerging AI/ML technologies and healthcare innovations to keep their solutions cutting-edge.

 

Skillset

• At least 4 years of experience in AI/ML engineering, with a strong focus on NLP, large language models and conversational AI.

• Proven track record of deploying ML models into production, preferably within healthcare or other regulated industries.

• Proficient in Python and experienced with ML frameworks such as TensorFlow and PyTorch.

• Strong skills in fine-tuning LLMs, prompt engineering and integrating models into real-world applications.

• Comfortable working with cloud platforms (e.g. AWS, Azure, GCP) and knowledgeable in MLOps practices for scalable deployments.

• Experience with voice and speech-based technologies, including recognition and generation.

• Hands-on background in designing and implementing conversational AI solutions.

• Exceptional analytical and communication abilities.

• Familiarity with HIPAA compliance and handling of sensitive healthcare data is a bonus.

Benefits

• Competitive Salary.

• Equity.

• Remote working.

• Comprehensive healthcare package.

Our client, a growing Biotech company, are hiring an AI Research Scientist to join their research team. The successful candidate will help shape the company’s platform and drive innovation in AI for healthcare by transforming cutting-edge research into practical tools and meaningful open science contributions.


Responsibilities

• Transform whiteboard concepts into working prototypes and experimental demos.

• Enhance reliability by integrating LLMs with retrieval methods, symbolic reasoning and traditional ML techniques.

• Formulate clear hypotheses, conduct rigorous studies and iterate quickly.

• Contribute to the field by publishing papers, releasing datasets and engaging with the research community.

• Drive both short-term product impact and long-term, high-value research initiatives.

• Support team growth by mentoring, leading paper discussions and promoting reproducible science best practices.

Skillset

• PhD in Machine Learning, Physics, Mathematics, Engineering or similar.

• Proven research track record with first-author publications at leading conferences (e.g. NeurIPS, ACL, ICML, EMNLP).

• Deep expertise in LLMs, including fine-tuning, prompt engineering, and integration with external tools and knowledge sources.

• Strong experimental background in benchmarking, statistical analysis and clear visualization of complex results.

• Proficient in production-grade coding (Python, PyTorch/JAX) with experience contributing to large-scale codebases.

• Excellent communication skills, able to translate complex research into actionable insights for product and executive teams.

Benefits

• Salary: $190k - $240k DOE.

• Equity.

• Comprehensive health, dental, and vision insurance

• Generous parental leave and wellbeing benefits.

Our client, a well-funded AI startup, is hiring a Full-Stack Engineer with strong Machine Learning expertise to join their team in New York. The successful candidate will help define the product, architecture and culture from the ground up, from owning core systems, driving key technical decisions without bureaucracy and deploying your work into enterprise AI environments within weeks.


Responsibilities

• Take ownership of projects end-to-end, from backend APIs to frontend dashboards to LLM integrations.

• Design, build and deploy full-stack features that power their AI agent platform.

• Create and maintain evaluation pipelines for LLMs, including RAG and agentic workflows.

• Build monitoring and analytics tools to measure reliability, accuracy and trustworthiness.

• Partner with researchers to turn cutting-edge evaluation and correction techniques into production-ready features.

• Deploy secure, scalable services on AWS/GCP with Docker and Kubernetes.

Skillset

• At least 5 years of experience building and scaling production-ready backend and frontend systems.

• Strong skills in Python and TypeScript/React, plus proficiency in at least one strongly typed backend language (Go, Java, or C++).

• Hands-on experience with AWS or GCP, Docker/Kubernetes, and modern CI/CD pipelines.

• Familiarity with LLM tooling (e.g. LangChain, Pinecone, vector databases) is a strong plus.

• Comfortable working across the stack, from system architecture to debugging to UI polish.

• Experience with RAG or agentic evaluations or deploying AI agents in production is a plus.

• Prior experience working in a fast-paced startup is a bonus.

Benefits

• Salary:  $150K - $170K

• Equity.

• Health, dental and vision insurance.

• 401(k).

Our client, an exciting Series B Startup innovating the Fintech industry, is hiring a Principal Engineer to join their New York team remotely. The successful candidate will play a key role in expanding their cutting-edge FinTech and data platform, driving advancements in financial health, identity services and inclusive decision-making for both individuals and businesses.


Responsibilities

• Drive the design and development of advanced back-end services, data platforms and AI/ML models that serve millions of users.

• Work collaboratively with cross-functional teams, including engineering managers, product owners and designers.

• Offer technical leadership, mentorship and support the professional growth of engineering team members.

• Lead project planning and execution while fostering team expansion through recruiting and onboarding efforts.

• Champion and uphold the company’s culture and commitment to operational excellence.

Skillset

• Master’s degree in Computer Science or similar, with a minimum of 10 years of engineering experience.

• Proven expertise in back-end development, microservices, API-driven and event-driven architectures and data platform engineering.

• Strong proficiency with AWS services such as DynamoDB, ECS/EKS, RDS, S3, SNS/SQS and Lambda.

• In-depth knowledge of credit reporting, lending, banking, payments, identity or other financial services domains.

• Advanced programming skills in Go, Python, C++ or Java.

• Hands-on experience with relational and NoSQL databases, microservices and event-driven system designs.

• Competence in building and deploying machine learning models, with a solid understanding of ML concepts.

• Familiarity with ETL/ELT tools like Airflow, Dagster, Prefect, and cloud data warehousing with Snowflake.

• Demonstrated leadership in product and business strategy, including roadmap planning and successful delivery.

• Excellent communication skills, able to effectively connect technical and non-technical stakeholders.

Benefits

• Salary: $200,000 - $220,000.

• Equity.

• Comprehensive medical, dental and vision insurance.

• 401(k) with a 4% company match.

• Remote Working (US Only).

Our client, an exciting Series B FinTech Startup, is hiring a Staff Machine Learning Engineer to join the team remotely. The successful candidate will design and deploy advanced machine learning models to help build interpretable, high-performing and scalable solutions leveraging data from AWS and Snowflake environments to drive impactful, data-informed decisions.


Responsibilities

• Designing, developing and deploying machine learning models to support predictive analytics across key fintech applications.

• Collaborating closely with cross-functional teams, including Data, Engineering and Product, to deliver integrated, data-driven solutions.

• Ensuring high model performance and reliability through robust data pipelines and scalable infrastructure.

• Converting model outputs into actionable insights that drive business strategy and financial inclusion outcomes.

• Mentoring and supporting fellow team members to promote a culture of technical excellence and collaboration.

• Championing best practices in MLOps, data governance and regulatory compliance across the ML lifecycle.

Skillset

• PhD or Master’s degree in Computer Science, Mathematics, Statistics or similar.

• 10+ years of relevant experience in applying AI/ML techniques within the financial services or fintech sectors.

• Extensive experience developing and deploying machine learning models for tasks such as classification, regression and forecasting.

• Strong programming proficiency in Python and SQL.

• Hands-on experience with AWS, particularly SageMaker and Bedrock, for model training, deployment and fine-tuning.

• Familiarity with model lifecycle tools like MLflow, SageMaker Model Registry or similar platforms.

• Practical experience using PyTorch, Scikit-learn and Generative AI models.

• Knowledge of Large Language Models (LLMs) and frameworks such as Hugging Face, LangChain or Mirascope.

• Solid understanding of cloud-based data architecture, including Snowflake, Amazon S3 and PostgreSQL.

• Background working in FinTech, PropTech or startup environments is a bonus.

Benefits

• Salary: $200,000 - $235,000.

• Equity.

• Remote working.

• Comprehensive health, dental, and vision insurance.

• 401(k).

Our client, a leading Fintech company, are hiring a Staff Machine Learning Engineer to join their Applied AI team remotely. The successful candidate will be responsible for developing and deploying AI-powered multi-agent systems, human-in-the-loop co-pilots, specialized financial models and seamless legacy system integrations to automate processes, improve workflows and optimize existing financial technologies.


Responsibilities

• Design and fine-tune both open source and proprietary large language models (LLMs) for tasks including summarization, reasoning, planning and question answering.
• Build and enhance advanced Retrieval Augmented Generation (RAG) pipelines featuring embedding fine-tuning, hybrid search, reranking and knowledge graph integration.
• Develop autonomous AI agent workflows that support proactive and adaptive decision-making.
• Utilize reinforcement learning methods (such as PPO, DPO, GRPO) to continuously improve model performance.
• Create evaluation frameworks and define metrics to rigorously assess model effectiveness.
• Deploy AI models into production environments with a focus on low latency, reliability and scalability.
• Work closely with product and engineering teams to deliver comprehensive AI-powered financial solutions.

Skillset

• Master’s or Bachelor’s degree with at least 5 years of professional experience in applied AI/ML engineering.
• Demonstrated success in delivering generative AI products utilizing LLMs and autonomous agent workflows.
• Practical expertise with LLM fine-tuning methods (such as LoRA), inference frameworks (including vLLM) and sophisticated RAG pipelines.
• In-depth understanding of reinforcement learning fine-tuning techniques and associated frameworks.
• Early-stage startup experience is an advantage.

Benefits

• Salary: $190k - $225k DOE.
• Remote working.
• Comprehensive health, dental and vision coverage.
• Retirement benefits.

Our client, an AI-driven company, are hiring a Generative AI Research Lead to join the team in Seattle, Washington or Palo Alto, California. The successful candidate will lead impactful AI research initiatives, work closely with internal engineering teams and a global network of academic partners, and play a key role in defining the technical direction of the company’s platform and community-driven efforts.


Responsibilities

• Lead research efforts in LLMs and VLMs, covering model development, evaluation, optimization and benchmarking.
• Shape the strategic direction of open-source AI/ML innovation within the organization’s  platform.
• Publish impactful research in leading academic venues.
• Build and nurture academic partnerships to strengthen the company’s global open research community.
• Mentor and guide team members, encouraging a culture rooted in scientific excellence and open collaboration.

Skillset

• PhD degree in Computer Science or a related field, with a specialization in AI/ML.
• Proven track record of publications in leading AI/ML conferences and journals.
• Demonstrated leadership in driving research initiatives and managing complex technical projects.
• Expert-level proficiency in machine learning, with hands-on experience in PyTorch, LLMs and VLMs.
• Strong commitment to open source and a passion for building in the open through community collaboration.

Benefits

• Salary: $160K–$220K DOE.
• Equity.
• Comprehensive health, dental and vision insurance.
• Hybrid working with offices in Seattle, WA and Palo Alto, CA.

Our client, an exciting AI-driven company, are hiring a Machine Learning Engineer to join the team in Seattle, Washington or Palo Alto, California. The successful candidate will be instrumental in building and scaling the infrastructure behind the company’s open AI platform, leveraging strong platform engineering skills and a solid machine learning background to support everything from training workflows to production deployment.


Responsibilities

• Develop and sustain reliable systems for training, deploying and scaling AI models.
• Build and enhance workflows for data preparation, model training, evaluation and deployment.
• Identify and resolve performance bottlenecks to ensure smooth operation for thousands of users and contributors.
• Automate infrastructure provisioning, deployment and monitoring following DevOps best practices.
• Collaborate closely with researchers and developers, both within the company and across our open-source community.
• Contribute to the development and direction of their open-source platform and foundational AI models.

Skillset

• Extensive experience in infrastructure engineering, DevOps or cloud-native environments.
• Deep understanding of machine learning principles and practical experience with end-to-end ML workflows.
• Proficient in Python and skilled in best practices for software development.
• Practical knowledge of cloud platforms such as AWS, Google Cloud or Azure.
• Experience with distributed computing and designing scalable systems.
• Enthusiasm for open-source development and active participation in community-driven projects.

Benefits

• Salary: $100K - $220K DOE.
• Equity.
• Comprehensive health, dental and vision insurance.