AI/ML Engineer Jobs

• 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.

• 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.

• 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 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, 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!