Machine Learning Engineer Jobs

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.

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, a cutting-edge AI company revolutionizing software development, is hiring a Senior Software Engineer, AI Platform to join their team in New York. The successful candidate will contribute to designing and building the next-generation real-time layer for executing, deploying, governing and auditing AI applications, workflows and agents.


Responsibilities

• Develop, implement and fine-tune enterprise-level AI models and reliable production workflows.
• Create and maintain a real-time distributed execution engine that supports AI applications, agents and workflows.
• Design scalable and resilient systems that enable multi-tenant and hybrid cloud deployments, featuring secure APIs and a versatile integrations platform.
• Work closely with customers and design partners to collect feedback, validate approaches and guide product development.
• Collaborate with the product team to shape the roadmap and keep pace with the latest advancements in AI infrastructure.

Skillset

• At least 5 years of experience deploying and managing production applications in cloud environments.
• Extensive knowledge of containers, virtual machines, caches, task queues, networking and operating systems.
• Proven experience in building and running production AI systems.
• Familiarity with AI inference methodologies.
• Proficient with machine learning frameworks such as PyTorch and TensorFlow.
• Strong product intuition with a commitment to delivering smooth and intuitive user experiences.
• Strategic thinker who can anticipate market demands and develop effective technical solutions.
• Startup mindset - quick to act, comfortable with uncertainty, and passionate about turning ideas into delivered products.

Benefits

• Salary: $170K - $210k
• Equity
• Remote working within the U.S.

Founding ML Engineer / Head of ML
Location: Palo Alto or Remote (with limited travel)

Interested in helping organizations gain transparency and safety in their AI usage? 

Or work on a first of its kind platform solving difficult challenges in AI in areas like LLM's , NLP,  NLU , Semantics search? 

If Yes, my client is hiring their 1st ML hire and hands on Head of ML. 
With a strong founding team and VC backing they are ready to build a first of its kind AI observability platform to help companies manage their AI risk and governance better. 

What's in it for you?

• 1st ML hire and Head of ML. You'll be building the first of its kind AI Observability platform utilizing SOTA techniques in NLP & LLMs.
• Working with veteran leadership who have built, scaled and exited orgs before.
• Hybrid / Remote working environment (with occasional office visit)
• Base Sal: $230-240k (Some flex DOE)
• Equity

To be successful here you must have strong technical NLP skills Min of 5+ years exp and be a Staff . Principal or Tech lead in Machine Learning where you have worked on 0-1 products either in a startup or enterprise setting. 

For more information drop me an email at anthonyh@alldus.com

Staff/Principal Product Manager
Location: Remote

My client, a HealthTech org turning in and outpatients hospital journeys personalized, have served over millions of patients per year. With their patient engagement platform they have reached a point where they are looking to hire new Staff/Principal Product Managers to help build out their portfolio with new and exciting products. 

If you are excited by helping to build new customer centric solutions, generating huge impact to customers and company while helping people lead healthier lives through tech (like AI) read on. 
 

What's in it for you? 

• Shape and define new products across Point of Care or Ambulatory using tools like AI.
• New division to build out a new suite of products.
• Opportunity to make huge org impact and grow out the division over time
• Job security - joining an established org owned by a leading venture group
• Base Salary: 190-220k (DOE)
• Fully Remote working

What do you need to be successful? 

• Youve been building products in healthtech that have added new revenue streams for the organization. The products have been customer centric where you've closely engaged with your end customer to solve their problems.
• Experienced in Patient care realm or Hospital Ops (Preferred)
• Ability to analyze market trends, understand customer processes, and translate these into actionable product strategies.
• Understand software engineering principles, including agile methodologies, continuous integration/continuous deployment (CI/CD), and product lifecycle management.
• Experienced with AI, machine learning, and other emerging technologies that can drive innovative product ideas

For more information apply or reach out to me 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, an AI-driven company impacting the financial services industry, is hiring an Applied Machine Learning Researcher to join the team in New York. The successful candidate will play a key part in developing their agentic architecture and building intelligent, modular systems from the ground up.


Responsibilities

• Lead the company’s applied research initiatives focused on multi-agent systems.

• Track the latest developments in machine learning and surface ideas with potential impact across the organization.

• Design and run experiments to test and validate critical hypotheses.

• Develop fast, functional prototypes to explore and showcase new concepts.

• Help shape and evolve their long-term machine learning strategy.

Skillset

• At least four years of hands-on experience in machine learning research.

• Deep familiarity with agent-based systems, reinforcement learning, fine-tuning techniques and/or prompt engineering.

• Strong technical skills in coding and rapid prototyping.

• Previous experience at a high-growth, product-focused company is a bonus.
   

Benefits

• Salary: $150k – $300k DOE

• Equity.

Interested? Apply Today!

Our client, an AI-driven company, are hiring an AI/ML Research Engineer to join the team in New York. The successful candidate will play a key role in developing advanced systems that extract and reason over unstructured data at scale, seamlessly integrating into legal workflows.


Responsibilities

• Enhance and scale the company’s core knowledge architecture to enable deep reasoning and knowledge extraction from unstructured data.
• Develop agentic systems that integrate structured knowledge with large language models to support intelligent analysis, question answering and reporting.
• Collaborate closely with product teams to ensure seamless integration into legal tech tools, driving accuracy and real-world impact.
• Conduct large-scale evaluations on real-world data, continuously optimizing performance and adaptability.
• Manage data annotation efforts, ensuring that models are trained on reliable, high-quality data.
• Lead the recruitment and management of a small, high-performing engineering team.

Skillset

• Master's degree in Computer Science, Software Engineering or similar.
• Prior experience developing AI products in dynamic, early-stage startups.
• Strong understanding of machine learning and natural language processing.
• Practical experience with integrating large language models into production environments, particularly in agentic or knowledge-driven systems.
• Proficient in programming languages like Python, C# and Java.
• Experienced in databases and search technologies such as Lucene, PostgreSQL and Qdrant.
• Familiar with infrastructure and deployment using Docker and Kubernetes.
• Expertise in CI/CD and DevOps practices (GitHub Actions, CircleCI, Gradle).

Salary: $180,000 – $210,000


Interested? Apply Today!

Our client, an AI startup in the music industry, is hiring an Applied Machine Learning Engineer to join the team in California. The successful candidate will combine their expertise in Machine Learning engineering and software development to build intelligent tools for music creation and streamline complex audio workflows through automation.


Responsibilities

• Develop and apply machine learning algorithms to elevate their music creation tools and address real user needs.

• Leverage both ready-made and custom ML solutions to deliver impactful, efficient results.

• Ensure solutions are production-ready through domain shift testing, QA processes, A/B experiments and reliable deployment strategies.

• Write clean, scalable, and maintainable code with a focus on enhancing product performance and user experience.

• Design and manage robust data pipelines for processing audio and other unstructured data types.

• Collaborate closely with Product and Engineering teams to integrate ML models seamlessly into the platform.

• Fine-tune, evaluate and deploy pre-trained models for tasks such as audio analysis, melody generation and workflow automation.

• Advocate for ethical and responsible AI practices, prioritizing fairness, transparency and positive user outcomes.

Skillset

• Solid experience in software development using Python.

• Strong track record of implementing machine learning models, particularly using PyTorch.

• Hands-on experience deploying ML models in production environments; familiarity with AWS is a bonus.

• Comfortable handling unstructured data, especially audio.

• Strong aptitude for applied problem-solving, with a focus on quick, effective integrations.

• Familiarity with generative AI architectures such as transformers, large language models (LLMs), or diffusion models.

• A background or interest in music, audio production, or music technology.

• Excellent communication skills with ability to work seamlessly with both technical and non-technical team members.

Our client, a seed-stage AI Startup, are hiring a Senior Backend Engineer join their team in New York. The successful candidate will play a key role in building the next generation of web platforms within a fast-paced startup environment, transforming the way data is explored and understood.


Responsibilities

• As the Senior Backend Engineer, you will collaborate with Product and Design teams to gather and execute technical requirements.

• You will design, test and maintain features that improve the user experience for data exploration and analysis.

•  Identify and resolve production issues and optimize performance.

• Build integrations with third-party applications.

• Incorporate machine learning services into the web platform using internal and third-party APIs.

Skillset

• Minimum of four years of experience developing and maintaining production systems using Python.

• Proficient in Django, FastAPI, Flask as well as web APIs (REST, GraphQL, WebSocket).

• Experienced in using containerized services (Docker + Kubernetes) and cloud platforms (AWS, Azure, GCP).

• Strong knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery) and databases (Postgres, MySQL).

• Keen interest in Generative AI and Natural Language Processing.

Benefits

• Salary: $160k - $180k DOE.

• Equity.

• Remote working options.

• Health, vision and dental insurance.

Interested? Apply now in the link below.

Our client, a venture-backed AI company, is hiring a GPU Kernel Engineer to join their R&D team in New York. The successful candidate will take the lead in enhancing GPU performance, contributing to the development of the most efficient engine for deploying generative AI models, ranging from precise GPU kernel tuning to extensive system optimizations.


Responsibilities

• As the GPU Kernel Engineer, you will identify and resolve performance bottlenecks in machine learning training and inference processes.

• Design and optimize high-performance computing kernels using Triton, CUDA or ROCm.

• Develop and implement solutions in C/C++ and Python.

• Conduct in-depth GPU performance optimizations to enhance efficiency and speed.

• Work closely with the team to enhance or expand existing machine learning compilers or frameworks.

Skillset

• Master’s degree or PhD in Computer Science, Electrical Engineering or similar.

• Proficiency in C/C++ and Python programming languages.

• Extensive knowledge and practical experience in GPU performance optimizations.

• Proven expertise in kernel optimizations using CUDA, ROCm or other acceleration technologies.

• Experience with training and deploying ML models.

• Familiarity with distributed systems or managing distributed ML workloads.

• Exposure to innovative open-source projects like FlashAttention, mlc-llm or vllm is a plus.

• Working knowledge of ML frameworks or compilers such as TVM, MLIR, Pytorch, TensorFlow, ONNX Runtime or TensorRT is a bonus.

Benefits

• Salary: Up to $200k depending on experience.

• Equity.

• Health insurance for you and your family.

Interested? Apply Today!

Our client, a venture-backed AI company, is hiring an AI Engineer to join their R&D team in New York. The successful candidate will contribute to the development of cutting-edge AI technologies, working on innovative projects that integrate the latest advancements in machine learning and code generation.


Responsibilities

• As the AI Engineer, you will Investigate and evaluate the performance of different LLMs in tool usage and code generation.

• Create tools and APIs to improve LLM capabilities in generating and enhancing GPU kernels.

• Develop programming solutions using C/C++ and Python.

Skillset

• Proficient in programming with C/C++ and Python.

• Experience in developing AI agents that utilize LLMs and external tools.

• Familiarity with training and deploying ML models.

• Bonus points for demonstrated experience with kernel optimization on CUDA, ROCm, or other accelerators

• In-depth knowledge of GPU performance optimization techniques is a plus.

Benefits

• Salary: Up to $200k depending on experience.

• Equity.

• Health insurance for you and your family

Interested? Apply Today!