Applied ML Engineer Jobs

Our client, an AI-driven startup impacting the digital media sector, are hiring a Applied AI Engineer to join their team in Brooklyn, New York. The successful candidate will work directly with the founders to define how creative professionals interact with AI in the generative era, from designing, implementing and scaling the core agentic workflows that enable seamless orchestration of text, image, and video models.


Responsibilities

• Design and build the organization’s intelligence layer, agentic systems that power reliable, intuitive and multi-step creative workflows.

• Seamlessly integrate text, image and video models into experiences that creatives trust and enjoy.

• Collaborate closely with product, design and infrastructure teams to develop agentic features that let creatives bring ideas to life while keeping full control.

• Ensure robustness and reliability through evaluation frameworks, memory and retrieval strategies, and sophisticated orchestration across models, APIs and tools.

Skillset

• Minimum of 3 years of engineering experience.

• Hands-on experience building agentic systems (multi-step pipelines, memory-enabled assistants or tool-using agents).

• Strong skills in system evaluation, regression testing and human-in-the-loop validation.

• Expertise in memory and retrieval strategies (vector databases, embeddings, context management).

• Experience orchestrating models, APIs and tools (handling retries, fallbacks and edge cases).

• Comfort reasoning about multi-modal workflows and integrating them into user-facing products.

• Ability to work across the full stack and collaborate with product and design teams.

• A Product-minded mindset, such as valuing usability and creative control as much as technical innovation.

• Experience with creative tools, generative models or node-based interfaces is a bonus.

Benefits

• Salary: $150k - $200k DOE.

• Equity.

• Comprehensive health and dental coverage.

• Gym membership.

Our client, an AI-driven organization in the Fintech industry, are hiring a Staff Machine Learning Engineer to join the team in Colorado. The successful candidate will will focus on building end-to-end generative AI products leveraging your deep expertise in large language models, fine-tuning techniques and reinforcement learning.


Responsibilities

• Design and build multi-agent systems that automate tasks and streamline workflows, delivering measurable operational impact.

• Develop AI co-pilots for advisors and other user personas, supporting workflows across prospecting, conversion, onboarding and client servicing.

• Create purpose-built, low-latency models for complex, multi-turn financial services interactions.

• Enable AI-driven optimisation and navigation of legacy platforms using computer-use and automation models.

• Design, fine-tune, and deploy open-source and proprietary LLMs for use cases including Q&A, summarisation, reasoning and planning.

• Build advanced Retrieval-Augmented Generation (RAG) pipelines, incorporating query rewriting, embedding fine-tuning, hybrid search, re-ranking and knowledge graphs.

• Apply reinforcement learning techniques, including RL fine-tuning methods such as PPO, DPO, and GRPO, to continuously improve model performance.

• Deploy models to production, ensuring high performance, reliability, scalability and low latency.

Skillset

• At least 5 years of experience in applied AI/ML engineering.

• Demonstrated success delivering production-grade generative AI products with large language models at their core.

• Hands-on experience with LLM fine-tuning techniques (e.g. LoRA), inference frameworks (e.g. vLLM) and advanced Retrieval-Augmented Generation (RAG) architectures.

• Strong practical expertise in reinforcement learning fine-tuning methods and supporting tooling.

• Previous experience working in an early-stage startup is a plus.

Benefits

• Salary: $170k - $220k DOE