AI Engineer Jobs

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, an AI-driven organization impacting the ecommerce market, is hiring an experienced Product Engineer to join their team in Los Angeles, California. The successful candidate will be tasked with a highly technical and product-focused role, offering the opportunity to own systems end-to-end, from underlying infrastructure and reasoning layers to user-facing features.


Responsibilities

• Deliver scalable AI-powered product features serving millions of users.

• Architect adversarial verification pipelines to ensure robust, reliable model outputs.

• Build evaluation systems to assess reasoning quality and system performance.

• Embed knowledge graph interfaces seamlessly into product workflows.

• Convert probabilistic AI outputs into deterministic, auditable, and user-ready recommendations.

• Collaborate closely with research, design, and product teams to accelerate ideas from concept to launch.

Skillset

• Proven experience as a Product Engineer delivering complex systems to production.

• Solid background in AI systems, evaluation frameworks or reliability engineering.

• Experience working with knowledge graphs or other structured data systems.

• Skilled at anticipating and addressing adversarial model failure modes.

• Comfortable owning features end-to-end, from architecture to polished user experience.

• Demonstrates high agency, strong product intuition and a bias toward shipping.

Benefits

• Salary: $350k - $450k DOE.

Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced AI/ML Engineer to join their team in Los Angeles, California. The successful candidate will lead the design and implementation of AI verification pipelines, develop robust evaluation systems and deliver production-ready features impacting millions of users.


Responsibilities

• Lead the architecture and implementation of AI verification pipelines to ensure robust, reliable model performance.

• Design, build and maintain evaluation infrastructure for AI systems at scale.

• Develop production-ready AI features that are deployed to millions of users.

• Create reasoning systems that convert probabilistic AI outputs into deterministic, auditable recommendations.

• Collaborate with cross-functional teams to integrate AI-native products into broader platforms.

• Continuously monitor, test and improve AI systems to maintain performance, security and reliability.

Skillset

• Deep expertise in machine learning, AI verification and evaluation frameworks.

• Strong experience with probabilistic modeling, reasoning systems and knowledge graphs.

• Proficiency in Python and modern ML/AI libraries (e.g. TensorFlow, PyTorch, JAX).

• Experience building production-scale AI systems that serve millions of users.

• Strong understanding of software engineering principles: version control, CI/CD, testing, and deployment.

• Familiarity with adversarial testing, verification pipelines, and AI auditing.

• Experience in AI-native product design and implementation.

• Knowledge of cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.

• Research experience in AI interpretability, explainability or safety is a bonus.

Benefits

• Salary: $350k - $450k DOE.

Our client, a growing AdTech organization, are hiring a hands-on Chief Technology Officer to join their team in New York. The successful candidate will combine strong product vision with operational rigor and an AI-first mindset, leading the development of their next-generation AI-powered advertising platform and search engine.


Responsibilities

• Lead the development of a sophisticated, NLP-powered advertising platform.

• Architect and scale a high-performance, sports-centric search engine.

• Translate cutting-edge AI research into robust, revenue-driving products.

• Establish strong delivery processes, ensuring accountability and predictable execution.

• Drive cultural transformation within engineering while consistently delivering on timelines.

Skillset

• At least 10  years of experience within a leading technology platform environment.

• Prior experience as a VP Engineering or senior technology leader who has built and scaled a large-scale image or search engine.

• Proven experience building and scaling production-grade search, advertising or AI-driven systems.

• Deep expertise in large-scale retrieval systems, search infrastructure and AI applications at consumer scale.

• Experience translating applied AI research into fully deployed, revenue-generating products.

• Demonstrated track record spanning both consumer search and applied AI-driven product development.

Benefits

• Total Compensation up to $1m for exceptional candidates.

• This includes performance bonus and other benefits. 

Our client, a leading Health Insurance organization, is hiring a Software Engineer to join the team remotely. The successful candidate will work hand-in-hand with their product team to develop AI-driven features that transform how HR teams and employees engage with benefits and healthcare systems, while also equipping the company’s internal consulting teams with smarter, more efficient tools.


Responsibilities

• Partner with Product, Engineering and Design teams to uncover challenges and craft generative AI solutions using best-in-class software engineering practices.

• Integrate AI capabilities across the full stack (frontend, backend and infrastructure) seamlessly within their applications.

• Develop intelligent search and retrieval systems that help users find the information they need, faster.

• Design and optimise interactions with foundation models (GPT-4, Claude, Gemini) to deliver consistent and reliable results.

• Deliver AI-powered features with the same high standards of reliability, scalability and performance as all applications.

Skillset

• At least 5 years of experience building modern full-stack web applications using Python and JavaScript/TypeScript.

• Hands-on experience integrating foundation models directly via APIs to create intelligent applications.

• Proven ability to translate user needs into technical solutions while collaborating across cross-functional teams.

• Comfortable working across frontend, backend and infrastructure layers.

• Experience with advanced AI tools, including tool-calling, multi-agent systems and emerging AI capabilities.

• Machine Learning background, with experience in PyTorch, scikit-learn, and deploying proprietary or open-source models.

• Strong communicator capable of partnering effectively with non-technical stakeholders.

Benefits

• Salary: $150k - $200k DOE

• Stock options.

• Health, Dental and Vision insurance.

• Remote working.

Our client, a growing Health tech organization, is hiring a Software Development Manager to join their team remotely. The successful candidate will lead a high-caliber engineering group, play a key role in evolving a mission-critical component of healthcare infrastructure and help deliver the technology underpinning modern healthcare systems.


Responsibilities

• Lead a high-performing engineering team, setting ambitious goals and maintaining a strong focus on quality.

• Oversee daily engineering workflows to ensure projects are completed efficiently and meet high standards.

• Collaborate closely with Product and Customer Operations to align engineering outputs with customer needs and address critical issues.

• Establish clear expectations and drive accountability through regular performance evaluations and progress monitoring.

• Enhance team processes by facilitating design reviews, post-mortems and promoting a culture of continuous improvement.

• Maintain operational readiness, including coordinating incident responses, ensuring compliance, managing runbooks and upholding security practices.

• Mentor and guide engineers while working cross-functionally to uphold technical excellence.

Skillset

• Minimum of 5 years of engineering experience, including at least 3 years in a leadership or management role.

• At least 2 years of practical, hands-on experience with AWS services.

• Outstanding written communication skills, with the ability to articulate complex technical concepts clearly.

• Demonstrated success leading and managing remote-first engineering teams.

• Strong commitment to building, mentoring and sustaining high-performing teams.

• Able to manage multiple priorities and work effectively in a fast-paced, dynamic environment.

Benefits

• Salary: Circa. $200k

• Remote working from U.S. or Canada.

Our client, a growing Healthcare organization, is hiring a Front End Engineer to join their team remotely. The successful candidate will work closely with engineers, designers, and product managers to develop core features, enhance platform reliability, and elevate the overall user experience of the company’s web product.


Responsibilities

• Partner with design, product and backend teams to create polished, high-performing web interfaces.

• Develop reusable, responsive and accessible components using scalable and semantic React best practices.

• Support and enhance the ongoing evolution of the design system.

• Champion engineering excellence through clean code, clear documentation and strong communication.

• Promote a culture grounded in rigor, curiosity and attention to craft.

Skillset

• At least 4 years of frontend development experience within a modern, product-focused software company.

• Strong expertise in React, Next.js, JavaScript and TypeScript in production environments.

• Solid understanding of UI testing, CSS-in-JS and server-side rendering.

• Experience integrating frontend applications with strongly typed SDK clients and APIs.

• Proven experience working with AWS-based infrastructure supporting customer-facing systems is a bonus.

• Experience building, maintaining and optimizing build, test and deployment pipelines in production.

• Familiarity with Figma-driven design systems and collaborative design workflows.

• Excellent communication skills, with the ability to collaborate effectively across design, product and engineering teams.

Benefits

• Salary: $100k - $150k.

• Remote working from U.S. or Canada.

Our client, an AI-driven healthcare organization, are hiring a Founding Product Engineer to join their team in New York. The successful candidate will become a key member of an early-stage team, taking ownership of high-impact initiatives and delivering end-to-end features relied upon daily by hundreds of thousands of clinicians and healthcare operators.


Responsibilities

• Design, build and deploy AI-powered features, including intelligent agents that audit medical records and flag issues that may jeopardize treatment approval.

• Take full ownership of projects from discovery and requirements through to deployment and iteration.

• Deliver high-quality solutions while leveraging a fast, reliable CI/CD pipeline to ship with confidence.

• Identify workflow bottlenecks by working closely with users.

• Measure impact through back-office time saved, improved case review accuracy and increased treatment approvals.

• Contribute to and shape engineering culture, influencing architecture decisions, tooling, code review standards and team practices.

Skillset

• At least 2 years of product engineering experience, preferably in an early-stage environment.

• Strong proficiency in TypeScript and React, with the ability to confidently work across complex codebases.

• Solid experience with SQL and relational databases, including writing efficient queries, designing well-structured schemas and applying sound data modelling principles.

• Experience with AI-native development, including shipping production LLM-powered features, prompt engineering, tool integration and retrieval-augmented generation (RAG).

• Demonstrated systems thinking, with a clear understanding of cloud tooling and architecture, and the ability to evaluate technical trade-offs effectively.

Benefits

• Salary: $150k - $180k.

• Equity.

• Health, dental and vision insurance.

• 401(k).

Our client, an exciting Healthtech startup, are hiring a Founding Engineer to join their team in San Francisco. The successful candidate will collaborate closely with medical teams to uncover real-world challenges and translate them into elegant, resilient technical solutions. You will move quickly in a 0?1 environment, take ownership of architectural decisions and play a key role in shaping both the product and the engineering culture from the very beginning.


Responsibilities

• Work closely with EMS (Emergency Medical Services) teams to gain a deep understanding of their challenges.

• Develop customer-facing functionality across three core products.

• Take full ownership of the development lifecycle, from system design through to deployment.

• Drive key technical decisions that will influence the product and company long term.

• Contribute to building the engineering culture and support hiring future team members.

Skillset

• Minimum of 3 years’ experience building full-stack products end-to-end.

• Strong React skills with solid design and UX sensibilities.

• Experience working with APIs and LLM/RAG architectures.

• Proven ability to own projects from architecture through to deployment.

• Comfortable operating in a fast-moving 0?1 environment without a playbook.

• Product-minded, with strong instincts for what great software looks and feels like.

• Previous experience in a high-ownership or early-stage environment is a bonus.

• Familiarity with Go, PostgreSQL, Google Cloud, or exposure to Public Safety/Healthcare domains is plus.

• Authorized to work in the US (no visa sponsorship available).

Benefits

• Salary: $125k - $175k DOE.

• Equity.

Our client, an AI-driven Healthcare startup, are hiring a Full Stack Engineer to join their team In New York. The successful candidate will work closely with founders and senior engineers at the intersection of healthcare, AI and real-time systems, by taking ownership of features and systems that directly impact patient care.


Responsibilities

• Develop and maintain full-stack production features that drive AI-powered healthcare communication.

• Integrate seamlessly with EHRs, legacy systems and real-time voice infrastructure.

• Translate customer needs into delivered software in collaboration with product, design and engineering teams.

• Enhance reliability, performance and scalability across live systems.

• Participate in technical discussions, code reviews and the evolution of engineering best practices.

Skillset

• At least 3 years of experience building and shipping production-ready software.

• Proficient full-stack developer with Node.js, TypeScript, React and PostgreSQL.

• Thrives in fast-moving environments and learns quickly.

• Takes ownership - committed to quality, reliability, and making a real-world impact.

• Strong communicator and team player, collaborating effectively across functions.

Benefits

• Salary: $150k - $220k DOE.

• Comprehensive benefits package.

Our client, an AI-driven startup within the Healthcare industry, are hiring a Forward Deployed Engineer to join their team In New York. The successful candidate will shape the organization’s technology, culture and growth from day one, directly impacting millions of patients and providers daily through their AI-powered platform.


Responsibilities

• Develop and deploy production-ready AI integrations and platform functionality.

• Lead technical projects from initial planning through successful launch.

• Design scalable systems and workflows that strengthen our competitive advantage.

• Serve as the technical liaison for customers, guiding integrations and building trusted relationships.

• Fine-tune AI agents at scale to enhance performance and deliver exceptional patient experiences.

• Convert field insights into actionable product improvements that shape the company’s roadmap.

Skillset

• Minimum of 3 years of hands-on engineering experience delivering production-ready systems.

• Demonstrated leadership managing complex, multi-stream technical projects from start to finish.

• Confident customer-facing presence, able to lead architecture discussions and technical collaborations.

• Sharp product insight, translating customer needs into actionable engineering solutions.

Benefits

• Salary: $150k - $220k DOE.

• Equity.

• Healthcare insurance.

Our client, an AI-driven Healthcare startup, are hiring a Full Stack Engineer to join their team In New York. The successful candidate will take ownership of core backend systems and collaborate closely with founders who have deep expertise in healthcare operations and large-scale AI systems.


Responsibilities

• Design and manage services, data models, and business logic that power AI-driven healthcare workflows.

• Implement multi-step, asynchronous AI workflows with retries, conditional logic and fault-tolerant handling.

• Manage high-stakes connections with EHRs and legacy healthcare platforms via APIs and robotic process automation (RPA).

• Develop frameworks that enable rapid deployment and customization of AI assistants for diverse healthcare environments.

• Implement and uphold backend authentication, authorization and HIPAA-compliant architecture for enterprise healthcare systems.

Skillset

• At least 5 years designing, developing and scaling backend systems in high-availability production environments.

• Deep knowledge of APIs, relational databases, asynchronous workflows and distributed systems.

• Comfortable navigating ambiguity, taking full responsibility for system outcomes and solving problems end-to-end.

• Excellent communicator who clearly conveys technical ideas and raises potential risks proactively.

• Experience with HIPAA, security or other regulated environments is a plus.

Benefits

• Salary: $170k - $250k DOE.

Our client, an early-stage, AI-driven startup in the defense industry, is hiring an AI Infrastructure Engineer to join their team in California. The successful candidate will design and scale the foundation of their model training and deployment ecosystem to enable their vision-language-action models to learn from massive real-world datasets and operate seamlessly across both edge and cloud environments.


Responsibilities

• Design and implement pipelines to ingest, transform and store petabytes of multimodal data from their robotic and operator systems.

• Develop tools for dataset exploration, curation, versioning and quality monitoring.

• Build and maintain distributed training infrastructure for large-scale multimodal and foundation model training, both in the cloud and on-premises.

• Implement orchestration workflows to launch, track and debug large-scale model runs.

• Identify and resolve bottlenecks in compute, memory, storage and network performance.

• Collaborate with AI, autonomy and systems teams to support real-time and mission-critical applications.

• Maintain observability and reliability tools for training and inference pipelines.

• Stay up to date with best practices in MLOps, distributed training frameworks and AI infrastructure at scale.

Skillset

• Bachelor’s degree or higher in Computer Science, Electrical Engineering or a related technical field.

• Minimum of 3 years of experience in ML infrastructure, MLOps or large-scale data systems.

• Proven experience with distributed training frameworks (e.g. PyTorch DDP, DeepSpeed, Ray) and workflow orchestration tools (e.g. Kubernetes, Airflow, or equivalents).

• Strong proficiency in Python and hands-on experience with cloud-native infrastructure (AWS, GCP or Azure).

• Solid understanding of data engineering concepts, including ETL pipelines, object storage, data versioning and metadata management.

• Familiarity with containerization technologies (Docker, Kubernetes) and monitoring systems (Prometheus, Grafana).

• Experience optimizing GPU cluster utilization, scaling training jobs and profiling model performance.

• Experience with edge-deployed ML systems, federated training or robotic data collection pipelines is a plus.

• Must have legal authorization to work in the U.S.; certain responsibilities may involve access to export-controlled information.

Benefits

• Salary: $160K – $220K DOE. Exceptional candidates may be considered for higher compensation.

• Performance Bonus.

• Equity.

• Medical, dental and vision insurance.

Our client, an early-stage, AI-driven startup in the defense industry, is hiring an AI Engineer to join their team in California. The successful candidate will design and deploy advanced multimodal models that power the cognitive capabilities of their robotic platforms, playing a key role in shaping the next generation of intelligent defense systems.


Responsibilities

• Design, train, and assess advanced VLA models for robotic platforms.

• Develop scalable architectures for multimodal integration, continual learning and domain adaptation.

• Build dynamic memory, communication and tool-use capabilities for autonomous AI agents.

• Translate state-of-the-art research into real-time, deployable perception and decision-making systems.

• Collaborate with robotics and mission teams to integrate ML pipelines with onboard autonomy.

• Maintain and optimise codebases for training, simulation and real-world inference.

• Evaluate performance and robustness in complex, unstructured and adversarial environments.

• Monitor and incorporate the latest advances in VLMs, reinforcement learning, computer vision and autonomous systems.

• Support field testing and mission operations to validate models under real-world conditions.

Skillset

• PhD or Masters degree or higher in Computer Science, AI or similar.

• At least 2 years of hands-on experience building and deploying AI systems, preferably in agentic AI, robotics, autonomous systems or real-time applications.

• Strong foundation in computer vision, deep learning or multimodal architectures, including VLMs, transformers or autonomous agents.

• Proficiency in Python and PyTorch or TensorFlow. Bonus points for experience with JAX, CUDA, or real-time inference optimisation.

• Experience with distributed training, fine-tuning, and reinforcement learning.

• Demonstrated ability to take research from prototype to production in fast-paced environments.

• Experience with embodied AI systems.

• Background in mission-oriented deployments, such as DoD, aerospace or robotics is a bonus.

Benefits

• Base Salary: $160k - $220k DOE. Exceptional candidates may be considered for higher compensation. 

• Equity.

• Performance bonus.

• Medica, dental and vision coverage.