data engineer

software engineer

ai architect hybrid

ai enablement analyst

ai engineer

python developer ai engineer

Inherent Technologies

<div>
 
 Job Description
 
 
 
 Seeking a
 
 hands-on AI Engineer/Developer
 
 to rapidly prototype and deliver AI-driven solutions across investment, research, and trading functions. This role is ideal for someone who can bridge
 
 financial domain knowledge with applied AI/ML development
 
 , building proof-of-concepts that can evolve into production-grade tools supporting investment decision-making.
 
 
 
 Key Responsibilities
 
 
 
 Design and develop
 
 AI/ML prototypes
 
 using Python to support investment research, portfolio analytics, and trading insights
 
 
 Build and test
 
 LLM-based and data-driven use cases
 
 (e.g., research summarization, signal generation, document analysis, automation)
 
 
 Work closely with
 
 investment professionals, research teams, and data engineers
 
 to translate business needs into functional AI solutions
 
 
 Develop and integrate
 
 data pipelines, APIs, and analytical models
 
 to support rapid experimentation
 
 
 Leverage tools such as
 
 Jupyter, Pandas, NumPy, LangChain, and cloud AI services (AWS/Azure/OpenAI)
 
 
 
 Perform
 
 data exploration, feature engineering, and model validation
 
 on financial datasets
 
 
 Iterate quickly on prototypes, incorporating feedback to refine models and outputs
 
 
 Ensure solutions consider
 
 data security, governance, and compliance
 
 within a financial services environment
 
 
 
 Required Qualifications
 
 
 
 10+ years of experience in
 
 Python development
 
 with strong hands-on coding ability
 
 
 Experience building
 
 AI/ML or LLM-based applications and prototypes
 
 
 
 Exposure to
 
 financial services, asset management, trading, or investment research
 
 
 
 Strong experience with
 
 data analysis libraries
 
 (Pandas, NumPy) and working with structured/unstructured data
 
 
 Familiarity with
 
 APIs, microservices, and cloud platforms (AWS, Azure, or GCP)
 
 
 
 Ability to work in a
 
 fast-paced, iterative environment
 
 with direct interaction with business stakeholders
 
 
 
 Preferred Qualifications
 
 
 
 Experience with
 
 LLM frameworks
 
 (LangChain, RAG architectures, vector databases)
 
 
 Knowledge of
 
 financial data sets, market data, or portfolio analytics
 
 
 
 Experience prototyping tools for
 
 quant research, credit analysis, or trading workflows
 
 
 
 Familiarity with
 
 Snowflake, Databricks, or modern data platforms
 
 
 
 
 What Success Looks Like
 
 
 
 Rapid delivery of
 
 high-impact AI prototypes
 
 that demonstrate clear business value
 
 
 Strong collaboration with front-office teams to
 
 solve real investment and research problems
 
 
 
 Ability to evolve prototypes into scalable solutions in partnership with engineering teams
</div>

Python Developer/AI Engineer

Traversal

<div><h3 class="jobSectionHeader">About Traversal</h3>
Traversal is the AI Site Reliability Engineer (SRE) for the enterprise&mdash;already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work.
Our roots remain deeply embedded in AI research, and we&rsquo;re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we&rsquo;re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.<h3 class="jobSectionHeader">
The Role</h3>
As a Product Engineer at Traversal, you&rsquo;ll play a key role in designing and building core features powered by our AI site reliability engineer. From the user interface to the backend and infrastructure, you&rsquo;ll develop product components to enable real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. This role will focus on the ability to work across the full pipeline of our product, and someone who can have a strong product sense while also being comfortable working around AI and data processing infrastructure will be the best fit.<h3 class="jobSectionHeader">
Responsibilities</h3><ul><li>
Product Impact: Translate AI-powered insights into user-friendly features that empower engineers and reduce cognitive load.</li><li>
User Experience: Innovate and drive the evolution of UX/UI design, rapidly iterating based on user feedback to improve overall usability.</li><li>
Agent Development: Build AI agents with a mind for user-experience and capabilities like long-horizon work, proactiveness, readability, and evidence citation.</li><li>
API Development: Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces.</li><li>
Data Management: Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others.</li><li>
AI Integration: Collaborate with AI engineers/researchers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks.</li><li>
Data Visualization: Develop intuitive interfaces for presenting and interacting with complex time-series and topological data.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
4+ years of software engineering experience, with a strong focus on full-stack systems.</li><li>
Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure.</li><li>
Strong experience with Python and web frameworks such as FastAPI.</li><li>
Hands-on experience with React, TypeScript, Next.js, and TailwindCSS to build fast, responsive, and maintainable frontends.</li><li>
Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage.</li><li>
Note: You don&rsquo;t need to meet every single requirement. If you have deep experience in a subset of these areas, we encourage you to apply.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Familiarity with Python-based ecosystems is a plus.</li><li>
Experience working with Agentic AI systems or in the observability domain.</li><li>
Background in large-scale, complex, data-driven applications.</li><li>
Familiarity with building AI or LLM-powered products.</li></ul><h3 class="jobSectionHeader">
Compensation</h3>
We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000&ndash;$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.<h3 class="jobSectionHeader">
Why You Should Join Us</h3>
We&rsquo;ll make sure you&rsquo;re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team.
Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance.
Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.</div>

Product Engineer

Metropolitan Transportation Authority

<div>Description 
 
 
JOB TITLE: Advanced Software Engineer
SALARY RANGE: $140,828 - $166,223
HAY POINTS: 634
DEPT/DIV: Information Technology
SUPERVISOR: Product Manager, PS Finance
LOCATION: 2 Broadway, New York, NY 10004
HOURS OF WORK: 9:00 am - 5:30 pm (7.5 hours/day) or as required) 
This position is eligible for telework, which is currently two days per week. New hires are eligible to apply 30 days after their effective date of hire. 
The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation&rsquo;s largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities. 
Summary:
Leads requirements management, software engineering, system testing, and acceptance testing activities across all stages and iterations for complex software development and integration initiatives. Assists with the organization's selection, adaptation, and adoption of new models, methods, and tools. Collaborates across parties involved in product, systems, or service design. May own high-value services and/or products. 
Critical Skills:
<ul><li>Strong experience in PeopleSoft PeopleTools (PeopleCode, Application Engine)</li><li>
Familiar with SQL, PS Query, SQR, and XML Publisher</li><li>
Experience with the end-to-end lifecycle of PeopleSoft FSCM</li><li>
Implementation and/or upgrade experience with high-level production support experience</li><li>
Strong functional knowledge in PeopleSoft financial modules (AP, AR, FA, PC, GL, Treasury)</li></ul> 
Responsibilities: 
<ul><li>
Leads requirements management, software engineering, system testing, and acceptance testing activities across all stages and iterations for complex software development and integration initiatives. Assists with the organization's selection, adaptation, and adoption of new models, methods, and tools. Collaborates across parties involved in product, systems, or service design.
</li><li>May own high-value services and/or products. Leads the definition, documentation, and successful
</li></ul>Completion of large projects within business objectives and resource constraints, ensuring adherence to agreed enterprise architectures, and the application of effective change-release, risk, and quality management processes.<ul><li>
Drafts and maintains software support processes and documentation. Prioritizes and diagnoses incidents, investigates and resolves complex issues, leads root cause analysis, and proposes corrective actions. Conducts application licensing, security, backup, and disaster recovery verification initiatives.
</li><li>Develops system and acceptance testing criteria related to functional and non-functional requirements, user stories, features, business processes, and business rules. Designs, specifies, and executes test cases and scenarios.
 </li><li>Plans and leads user experience design activities for large programs and products, providing expert advice to ensure that usability, accessibility, and visual design requirements are satisfied.
</li><li>Develops, maintains, and applies tools and documentation to track, log, and maintain accurate and complete system information. Audits complex software systems for adherence to configuration standards.
</li><li>Plans, organizes, conducts, and oversees assigned quality and safety assurance assessments involving complex systems and cross-functional teams. Provides expert advice on assurance activities.
</li><li>Manages the operational relationships with suppliers to ensure potential disputes or conflicts are raised and resolved. Contributes technical elements of RFP/RFIs and negotiates contract terms and SLAs. Manages suppliers to meet key performance indicators.
</li><li>Continuously develops and maintains personal knowledge of software engineering practices, emerging trends, and technologies.
</li><li>Provides technical advice to project teams and mentors less experienced staff to foster talent
</li></ul>development.
<ul><li>Performs other duties and tasks
</li><li>May need to work outside of normal work hours, supporting operations on a 24/7 basis
</li><li>Travel may be required to other MTA locations or other external sites
</li><li>Observing the work performed by the contractor;
</li><li>Reviewing invoices and approving them if the work meets contractual standards;
</li><li>Addressing performance issues with the contractor when possible; and
</li><li>Escalating issues to other parties as needed.</li></ul>
Required Qualifications:<ul><li>
Education: Bachelor&rsquo;s Degree and a minimum of 8 years of relevant experience. An equivalent combination of education and experience may be considered in lieu of a degree.</li><li>
Must possess a minimum at least one of the following professional certifications in the subject domain, including but not limited to: Certified Scrum Developer (CSD), Certified Scrum Master (CSM), Certified Software Development Professional (CSDP), Certified Secure Software Lifecycle Professional (CSSLP), Amazon Certified: AWS Certified Developer, Microsoft Certified: Azure Developer, Certified Software Test Professional (CSTP)</li></ul>
Knowledge &amp; Skills:
Technical Skills:
<ul><li>Hands-on programming experience in a business setting</li><li>
Proficiency in at least one software engineering methodology, including but not limited to: Waterfall, Agile, Scrum, DevOps, Extreme Programming (XP), Kanban, Lean, Rapid Application Development (RAD)
</li><li>Experience applying a structured validation and testing method, including but not limited to: Unit Testing, Integration Testing, System Testing, Acceptance Testing, Regression Testing
</li><li>Collaboration skills to ensure design specifications are seamlessly implemented by the development team
</li><li>Familiarity with version control
</li><li>Demonstrated ability to work independently and navigate organizational ambiguity
</li><li>Effective written and verbal communication skills
</li></ul>Preferred Technical Skills:<ul><li>
A software engineering industry certification, examples: Certified Scrum Developer (CSD), Certified Scrum Master (CSM), Certified Software Development Professional (CSDP), Certified Secure Software Lifecycle Professional (CSSLP), Amazon Certified: AWS Certified Developer, Microsoft Certified: Azure Developer, Certified Software Test Professional (CSTP)
</li><li>Programming experience with the following language(s): Job Specific (e.g, Ruby, Python, Java, C++, COBOL, etc.)
</li><li>Familiarity with the following vendor-specific platforms: Job Specific (e.g, Azure, Windows Server platforms, RESTful APIs, or Linux)</li></ul>
 Behavioral Requirements Skills:
<ul><li>Collaboration skills to ensure design specifications are seamlessly implemented by the development team.
</li><li>Demonstrate ability to work independently and navigate organizational ambiguity.
</li><li>Strong interpersonal, verbal, and written communication skills.
</li><li>Expert Communicates Effectively
</li><li>Advanced in technical Skills, tech savvy, values diversity</li><li>
Adept customer focus cultivates Innovation</li></ul> 
Competencies:
<div><div>Core Competency 
Proficiency Level 
Competency Definition</div><div> 
Cultivates Innovation 
Adept 
Creating new and better ways for the organization to be successful</div><div> 
Customer Focus 
Adept 
Building strong customer relationships and delivering customer-centric solutions</div><div> 
Communicates Effectively 
Expert 
Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</div><div> 
Tech Savvy 
Advanced 
Anticipating and adopting innovations in business-building digital and technology applications</div><div> 
Technical Skills 
Advanced 
Specialized knowledge and expertise on tools, programs, domains, platforms, and products used for specific tasks</div><div> 
Values Diversity 
Advanced 
Recognizing the value that different perspectives and cultures bring to an organization</div></div> 
 OTHER INFORMATION:
Pursuant to the New York State Public Officers Law &amp; the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the &ldquo;Commission&rdquo;).
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.</div>

Advanced Software Engineer - PeopleSoft

Paramount

<div>
 
 #WeAreParamount on a mission to unleash the power of content&hellip; you in?
 
 
 
 We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the power to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture.
 
 
 
 Job Title
 
 : Software Engineer - AI Tooling &amp; Quality Engineering Platforms
 
 
 
 Team
 
 : Global Quality Engineering (GQE)
 
 
 
 Location
 
 : New York City, Los Angeles, San Francisco
 
 
 
 Overview
 
 
 
 Paramount Skydance Corp is seeking a Software Engineer to build AI‑powered tools, backend services, and internal platforms that support the Global Quality Engineering organization.
 
 This is not an &ldquo;in test&rdquo; role
 
 &mdash; you will be developing production‑grade software that accelerates test creation, triage, analysis, and automation workflows across GQE. You will contribute to intelligent systems that improve engineering efficiency and modernize how quality engineering is performed at scale.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build backend services, CLIs, and internal tools that integrate AI capabilities into GQE workflows.
 </li>
 <li>
 Implement features for AI‑assisted test generation, log summarization, and defect triage.
 </li>
 <li>
 Contribute to RAG pipelines, embeddings workflows, and LLM‑powered utilities under senior guidance.
 </li>
 <li>
 Integrate AI tooling into CI/CD pipelines and existing automation frameworks.
 </li>
 <li>
 Collaborate with QE, Platform, and Data Engineering teams to understand requirements and deliver practical solutions.
 </li>
 <li>
 Write clean, maintainable code and participate in code reviews and engineering best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience (Java, Kotlin, Python, or similar).
 </li>
 <li>
 Experience building backend services, APIs, or internal tools.
 </li>
 <li>
 Familiarity with LLMs, embeddings, or AI‑assisted development tools (GitHub Copilot, Cursor, etc.).
 </li>
 <li>
 Understanding of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
 </li>
 <li>
 Strong problem‑solving skills and interest in AI‑driven engineering.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Curiosity and willingness to learn AI‑driven engineering.
 </li>
 <li>
 Proficient coding fundamentals and attention to detail.
 </li>
 <li>
 Collaboration and communication across engineering teams.
 </li>
 <li>
 Ownership of assigned features and components.
 
 
 </li>
 </ul>
 
 Success Metrics
 
 
 
 <ul>
 <li>
 Delivery of reliable features within AI tooling platforms.
 </li>
 <li>
 Improved triage and test‑creation efficiency for GQE teams.
 </li>
 <li>
 Positive feedback from internal users on usability and impact.
 </li>
 <li>
 High code quality and consistent contribution to team velocity.
 
 
 </li>
 </ul>
 Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment&trade;. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME&reg;.
 
 
 
 Additional Information
 
 
 
 Hiring Salary Range: $115,920.00 - 173,880.00.
 
 
 The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
 
 
 
 What We Offer:
 
 
 
 <ul>
 <li>
 Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
 </li>
 <li>
 Generous paid time off.
 </li>
 <li>
 An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.
 </li>
 <li>
 Opportunities for both on-site and virtual engagement events.
 </li>
 <li>
 Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
 </li>
 <li>
 Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount
 
 
 </li>
 </ul>
 Paramount is an equal opportunity employer (EOE) including disability/vet.
 
 
 At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
 
 
 If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
 
 
</div>

Software Engineer

Kairon Health

<div><h1 class="jobSectionHeader">About Kairon Health</h1>
Kairon is the execution layer for healthcare. We turn fragmented claims and clinical data into actionable workflows that help ACOs and health networks actually capture their shared savings &mdash; not just measure them after the fact.
We&rsquo;re a seed-stage team of &lt;10, working with real customers managing real patient populations. Our platform spans practice intelligence, care operations, patient activation, and performance analytics. We&rsquo;re AI-native &mdash; not as a buzzword, but because our team builds with Claude, automated transcription, and intelligent workflows as core infrastructure, not bolt-on features.
We&rsquo;re at the stage where our early customers love the product and we need to make onboarding, support, and ongoing operations repeatable without losing the high-touch quality that got us here.<h1 class="jobSectionHeader">
Position Overview</h1>
We&rsquo;re seeking a Senior Product Engineer, Data Applications to own the product layer where data meets decision-making. You&rsquo;ll build the data-powered applications that surface intelligence directly to users &mdash; from the Performance App and ACO-in-a-Box tooling to interactive reporting, scorecards, and next-generation analytics experiences.
This is a full-stack, product-oriented engineering role. You&rsquo;ll design and implement end-to-end solutions (data models, APIs, and UI components) that bring Kairon&rsquo;s insights to life for practice leaders. You&rsquo;ll work closely with engineering leadership, product, and analytics teams to transform complex healthcare data into intuitive, high-impact tools.
You&rsquo;ll thrive here if you&rsquo;re as excited about what you build as why you&rsquo;re building it: an engineer who understands product trade-offs, can shape features from user requirements, and enjoys turning messy data into meaningful, elegant applications.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Own the data-to-application layer: Design, build, and maintain data-driven applications such as performance dashboards, scorecards, and analytic workbenches.</li><li>
Architect end-to-end features: Connect backend models, APIs, and frontend components to deliver interactive insights within the Kairon platform.</li><li>
Collaborate with product and analytics: Translate user needs and clinical/financial metrics into intuitive visualizations and actionable interfaces.</li><li>
Advance in-app intelligence: Integrate data pipelines, LLM insights, and healthcare analytics into user-facing modules (Performance App, ACO-in-a-Box, CRM, and others).</li><li>
Uphold scalability and quality: Design for maintainability, reusability, and performance; implement tests and observability to ensure reliability.</li><li>
Contribute to design &amp; UX: Work with designers to create cohesive, user-friendly experiences that communicate complex data clearly.</li><li>
Champion engineering excellence: Establish best practices, documentation, and component libraries for future applications.</li><li>
Leverage modern AI-assisted tooling: Use LLMs to accelerate development, code review, and refactoring while maintaining rigorous standards.</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
6+ years of professional experience building production web applications (frontend + backend).</li><li>
Strong proficiency in Python, Django/DRF, Vue, and SQL; experience with data visualization frameworks and API design.</li><li>
Experience designing or consuming data models and ETL pipelines (e.g., Snowflake, dbt, or similar).</li><li>
Proven ability to translate product requirements into technical architecture and deliver polished, high-impact user experiences.</li><li>
Familiarity with healthcare, analytics, or enterprise SaaS environments.</li><li>
Clear communication and cross-functional collaboration skills; comfort working directly with product and leadership.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Experience in healthcare or value-based care analytics, EHR data, or claims data models.</li><li>
Prior work integrating LLM-driven insights, AI-based summarization, or contextual intelligence into applications.</li><li>
Strong understanding of data visualization principles and UX for analytics products.</li><li>
Background that spans both engineering and product management (technical PM, full-stack data apps, or similar hybrid roles).</li><li>
Previous experience in an early-stage or high-growth startup environment.</li></ul><h1 class="jobSectionHeader">
Why This Role</h1><ul><li>
Impact. You&rsquo;re not maintaining someone else&rsquo;s machine. You&rsquo;re building customer operations from the ground up at a company where the work directly affects whether patients get better care.</li><li>
Growth. This role has a clear trajectory. Depending on your strengths and interests, this becomes Head of Customer Success, Director of Implementations, or a Product leadership role as we scale. You&rsquo;ll have the context and relationships to grow into whatever the company needs most.</li><li>
Stage. We&rsquo;re past the &ldquo;will this work?&rdquo; phase &mdash; customers are live and getting value. We&rsquo;re in the &ldquo;how do we do this 10x without breaking?&rdquo; phase. That&rsquo;s the most interesting operational puzzle in a startup.</li><li>
Equity. You&rsquo;ll have meaningful ownership as one of our first 10 hires, with a real seat at the table.</li></ul>
Diversity and inclusion are core to our culture. If you are a member of an underrepresented group in tech, we strongly encourage you to apply.
Compensation Range: $170K - $190K</div>

Product Engineer, Data

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Academic Research Collaborator - Professors &amp; PhDs
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $80&ndash;$110/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Design challenging, real-world domain-specific problems in areas like financial modeling, legal reasoning, econometrics, ML, and coding. Focus on addressing core capability loss failures in frontier AI models.
 </li>
 <li>
 Integrate problems into an Agentic development environment using Python. Prepare all necessary components for robust task execution.
 </li>
 <li>
 Evaluate the target model's performance on designed tasks. Analyze outcomes to improve model reasoning and outputs.
 </li>
 <li>
 Identify tasks where the model fails to pass tests. Classify failures as logical reasoning issues to guide future improvements.
 </li>
 <li>
 Collaborate with domain experts to enhance AI model training and ensure task relevance and accuracy.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 Current or retired professor, or PhD student, in STEM or professional/quantitative domains.
 </li>
 <li>
 Degree or PhD in progress from a top university.
 </li>
 <li>
 Working proficiency in Python applied in research, industry, GitHub, or coursework.
 </li>
 <li>
 Ability to engage reliably for 30+ hours/week during weekdays.
 </li>
 <li>
 Basic ability to work independently and manage time effectively.
 </li>
 <li>
 Strong verbal and written communication skills.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Past experience in AI training, model evaluation, and data annotation.
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Academic Researcher - Fully Remote | Upto $110/yr

Data Engineer, Product Analytics (University Grad)

Explore 98+ Python developer ai engineer in New York this June. Find roles across top companies and apply now to boost your career.