I'm looking for ML Engineer roles in New York City that specialize in NLP. I have over 5 years of experience, and I'm focused on full-time opportunities. Additionally, I'm keen on positions that involve working with LLMs and AI technology.

Okay, I've searched for ML Engineer roles specializing in NLP in New York City. You're targeting full-time positions, with 5+ years of experience, and involvement with LLMs and AI technology. I have found 45 positions that match your criteria.

ML Engineer

New York City

5 years + Experience

Full Time

NLP

LLM

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The primary purpose of the ML/AI Engineer with NLP Specialization role at Helios is to significantly enhance and scale the AI capabilities of Proxi, the innovative policy agent platform. This position focuses on improving natural language understanding, document processing, and personalized voice-driven interactions aimed at helping professionals navigate the complexities of regulatory and legislative environments. Key responsibilities include expanding the learning-to-rank system, optimizing multi-model embedding architectures, and creating sophisticated voice interactions. Success in this role will require not only technical proficiency in modern machine learning and natural language processing techniques but also the ability to work collaboratively within the founding engineering team. The ideal candidate will frequently tackle nuanced problems related to the effective interpretation of complex regulatory texts and the design of user-friendly voice interfaces, allowing users to engage with intricate data seamlessly. The role demands a proactive approach to problem-solving and an adaptability to rapidly shifting demands typical in a startup environment.

Company Analysis:

Helios operates in an innovative and competitive landscape as a startup focused on AI-driven solutions for policy professionals. Positioned as a disruptor, Helios aims to redefine the way that legal and regulatory compliance is managed for Fortune 500 firms, lobbying firms, and governmental bodies. This context highlights the importance of the ML/AI Engineer role, as it directly contributes to developing a unique product that automates and enhances the efficiency of government affairs work. The culture at Helios likely prioritizes fast-paced innovation, agility, and collaborative problem-solving, as indicated by their call for 'driven innovators' who are passionate about pushing the boundaries of NLP. Given that this is a founding engineering role, there is significant potential for visibility and influence with leadership, making it essential for the candidate to embrace responsibility and ownership in project outcomes. The focus here is on building a category-defining product that requires both strategic vision and technical expertise, making alignment with the company’s mission and values critical for long-term success.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to develop a complex natural language processing solution. What were the challenges and outcomes?
Describe a project where you collaborated with cross-functional teams to achieve a technical goal. How did you contribute?
Can you provide an example of a situation where you faced ambiguity in your work? How did you approach solving it?
Walk me through your experience with learning-to-rank systems. How do you think they can be leveraged for policy compliance?
How would you design a voice interface to reduce user frustration in navigating legislative texts?
What approach would you take to enhance entity recognition systems for complex regulatory documents?
Suppose we encounter a novel legislative format with no previous data models. How would you adapt our existing systems to accommodate this?
Imagine you need to optimize a voice interaction for a user unfamiliar with technical jargon. How would you ensure clarity and usability?
Why are you interested in working at Helios and contributing to the development of Proxi?
How do your technical skills align with the innovative goals Helios aims to achieve with Proxi?
What excites you about the challenges of building AI solutions specifically for the regulatory landscape?
Given our company values, how would you ensure that your work appropriately reflects our mission in the product we are developing?
What are the most significant risks associated with natural language processing in our product space, and how would you address them?
What do you see as the key trends in AI and machine learning that will impact our industry in the next five years?
What questions do you have about our engineering processes or the teams with whom you would be working?

Job Details

Overview Company

ML/AI Engineer with NLP Specialization

$150k/y-$190k/y

Helios

3 days ago

Highlight

OnsiteFull-timeSenior

Summary

Helios is seeking an ML/AI Engineer with NLP Specialization - Founding Engineer to join their team in New York, NY. The role involves enhancing and scaling the AI foundation that powers their competitive advantage in an innovative AI-driven platform called Proxi.

About the Role

As a Founding Engineer, you will join the founding engineering team to enhance and scale the AI foundation. Responsibilities include expanding the learning-to-rank system, enhancing entity recognition and classification systems, advancing large-scale knowledge graphs, optimizing multi-model embedding architectures, extending the document enrichment pipeline, building natural voice interactions, designing context-aware voice agents, creating voice-optimized response generation systems, refining personalization systems, and collaborating on AI strategy implementation.

About You

Required:

Advanced knowledge of Python for ML development and production systems.
Strong experience with LLM orchestration and prompt engineering.
Experience building stateful AI agents and multi-agent systems.
Scalable knowledge graph construction, indexing, and search.
Practical experience with leading LLM providers and their APIs.
Strong background in NLP, particularly entity recognition and extraction.
Experience with conversational AI systems and natural dialogue flows.
Knowledge of voice processing technologies and speech synthesis optimization.
Experience designing voice interfaces that handle complex, domain-specific vocabularies.
Experience with vector embeddings and semantic search implementations.
Familiarity with SQL databases and vector storage solutions.
Knowledge of asynchronous programming patterns in Python.
Experience with API development and data validation.
Understanding of cloud infrastructure for ML deployments.

Preferred:

Experience with legislative, regulatory, compliance or legal text processing.
Graph databases (e.g., Neo4j).
Background in learning-to-rank systems or relevance optimization.
Knowledge of modern search technologies.
Experience with real-time data processing pipelines.
Background in contextual search or semantic search systems.
Knowledge of voice streaming architectures and low-latency response systems.

Benefits

Senior Estimated Base Salary Range $150K–$190K with a generous equity grant.
Principal Estimated Base Salary Range $170K–$240K with a generous equity grant.

Helios

Helios is building Proxi, the first AI-native policy agent designed to work like a top-tier policy professional embedded on your team. Proxi continuously monitors legislation, regulations, and public sector signals to flag the developments that matter most—before they hit your bottom line. It maps your policy landscape, tracks key stakeholders and influence networks, and generates polished advocacy materials in seconds.

Built for operators in Fortune 500s, lobbying firms, and government itself, Proxi automates the manual, fragmented work of government affairs—so your team can move faster, act earlier, and focus on the relationships and strategies that actually drive outcomes.

New York, NY