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Attentive.ai

<div>
 
 About Attentive.ai
 
 
 
 Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights.
 
 
 More than
 
 1k+ businesses
 
 across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised
 
 $30.5M in Series B funding
 
 , accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
 
 
 
 Position Description
 
 
 
 As an
 
 AI/ML Research Scientist,
 
 you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents.
 
 
 In this role, you will support the end-to-end lifecycle of AI-based solutions &mdash; from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy ML models for parsing and reasoning over construction blueprint PDFs - working with image, text and vector graphics modalities
 </li>
 <li>
 Design data pipelines for training, validation, and continuous improvement.
 </li>
 <li>
 Improve model accuracy, latency, and scalability for production workloads.
 </li>
 <li>
 Contribute to system architecture decisions for ML deployment and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams including software engineers, ML researchers, and product teams
 </li>
 <li>
 Write clean, scalable, and production-ready code
 
 
 </li>
 </ul>
 
 Skills &amp; Requirements
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in applied AI/ML and research, preferably with focus on computer vision.
 </li>
 <li>
 PhD or Master's degree in deep learning, coupled with research experience focused on image modalities.
 </li>
 <li>
 Experience working with document understanding, OCR pipelines, or structured extraction systems is a plus.
 </li>
 <li>
 Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.
 </li>
 <li>
 Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation)
 </li>
 <li>
 Familiarity with LLM based systems and architectures
 </li>
 <li>
 Comfortable working in a fast-moving, ownership-driven environment.
 
 
 </li>
 </ul>
 
 Why Work With Us?
 
 
 
 <ul>
 <li>
 Be part of a visionary team building a first-of-its-kind AI solution for the construction industry.
 </li>
 <li>
 Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning.
 </li>
 <li>
 Culture that encourages ownership, innovation, and growth.
 </li>
 <li>
 Opportunities for fast learning, mentorship, and career progression.
 </li>
 </ul>
</div>

AI/ML Research Scientist

Call For Referral

<div>
 
 
 Machine Learning Engineer
 
 
 
 
 Work Mode:
 
 
 Remote
 
 
 
 
 Compensation:
 
 
 $100&ndash;$120 per hour
 
 
 
 
 Work Type:
 
 
 Hourly, Independent
 
 
 
 
 Role Overview
 
 
 
 This role supports the evaluation of
 
 advanced machine learning systems
 
 in collaboration with
 
 leading AI research initiatives
 
 . It is intended for
 
 experienced machine learning engineers and researchers
 
 who can contribute to the development of
 
 high-quality evaluation suites
 
 that measure AI performance on
 
 real-world machine learning engineering tasks
 
 .
 
 
 The work focuses on translating
 
 practical ML research and engineering workflows
 
 into
 
 structured benchmarks
 
 for
 
 frontier models
 
 . This is a
 
 project-based, fully remote
 
 opportunity for professionals with
 
 strong hands-on ML research and engineering experience
 
 .
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and develop
 
 detailed evaluation suites for machine learning engineering tasks
 </li>
 <li>
 
 Evaluate AI-generated solutions
 
 across model training, debugging, optimization, and experimentation workflows
 </li>
 <li>
 
 Analyze and document
 
 system behavior, performance characteristics, and limitations
 </li>
 <li>
 
 Contribute to the creation of benchmarks
 
 that reflect real-world ML engineering practices
 </li>
 <li>
 
 Maintain high standards
 
 of technical accuracy, clarity, and consistency in all deliverables
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 3+ years
 
 of experience in machine learning engineering or applied ML research
 </li>
 <li>
 
 Hands-on experience
 
 with model development, experimentation, and evaluation
 </li>
 <li>
 
 Background in ML research
 
 in an industry or academic setting (strongly preferred)
 </li>
 <li>
 
 Strong ability
 
 to reason about ML system design choices and technical trade-offs
 </li>
 <li>
 
 Excellent written communication skills
 
 and
 
 high attention to technical detail
 
 </li>
 </ul>
 
 
 Work &amp; Payment Details
 
 
 <ul>
 <li>
 You will operate as an
 
 independent professional
 
 </li>
 <li>
 This is a
 
 fully remote
 
 role with a
 
 flexible schedule
 
 </li>
 <li>
 Projects may be
 
 extended, shortened, or concluded
 
 based on needs and performance
 </li>
 <li>
 The work does
 
 not involve access to confidential or proprietary information
 
 from any employer, client, or institution
 </li>
 <li>
 
 Payments are made weekly
 
 via
 
 Stripe or Wise
 
 , based on services delivered
 </li>
 <li>
 Candidates requiring
 
 H1-B or STEM OPT
 
 sponsorship are
 
 not supported
 
 at this time
 </li>
 </ul>
 
 
 Application &amp; Onboarding Process
 
 
 <ul>
 <li>
 
 Upload your resume
 
 </li>
 <li>
 
 AI interview:
 
 A short
 
 15-minute
 
 conversational session to understand your background, experience, and interest in the role
 </li>
 <li>
 
 Follow-up communication
 
 within a few days with next steps and onboarding details
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer (Remote)  $100 –$120/hr

Research Scientist Intern, FAIR Chemistry

OpenAI

About the Team
 
OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible.
 
Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent.
 
About the Role
 
You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role.
 
You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission.
 
In this role, you will: 
Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve.
 
Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist.
 
Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles.
 
Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit.
 
Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains.
 
You might thrive in this role if you: 
Significant experience recruiting within highly technical or specialized environments.
 
Deep interest in AI research and a desire to engage directly with global research communities.
 
Experience recruiting within highly technical or specialized environments such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research.
 
Track record of leading complex, ambiguous technical searches from early talent mapping through close.
 
Experience navigating high-stakes negotiations with senior technical or research candidates.
 
Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time.
 
Workplace & Location
 
This role is based in our San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.
 
Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$216K – $240K + Offers Equity

Recruiter, AI/ML Research

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

Jack & Jill

<div>
 This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
 
 
 She will pick the best candidates from Jack's network.
 
 
 The next step is to speak to Jack.
 
 
 Behavioral Research Scientist
 
 
 
 Salary:
 
 $140,000-$160,000 + Equity
 
 
 
 Company Description:
 
 VC-backed AI simulation platform
 
 
 
 Job Description:
 
 
 
 Shape the cognitive and behavioral foundations of AI agents for a cutting-edge simulation engine. This role involves applying scientific depth to model decision-making, attention, and heuristics, impacting how next-generation digital products are designed. Join a team at the intersection of AI, behavioral science, and product experimentation, bringing real-world impact to scalable systems.
 
 
 
 Location:
 
 San Francisco, USA
 
 
 
 Why this role is remarkable:
 
 
 
 <ul>
 <li>
 Join a team creating category-defining technology, building the simulation layer for adaptive software.
 </li>
 <li>
 Backed by top-tier VCs and product/engineering leaders from leading tech companies.
 </li>
 <li>
 Apply deep behavioral science and cutting-edge AI to solve complex product challenges with immediate impact.
 
 
 </li>
 </ul>
 
 What you will do:
 
 
 
 <ul>
 <li>
 Ground AI agents in validated behavioral and cognitive frameworks, modeling human decision-making.
 </li>
 <li>
 Translate behavioral theories into practical agent architectures, defining user clusters and personas.
 </li>
 <li>
 Design and analyze in silico experiments to test agent responses and benchmark simulation realism.
 
 
 </li>
 </ul>
 
 The ideal candidate:
 
 
 
 <ul>
 <li>
 PhD or postdoc in Cognitive Science, Behavioral Economics, Psychology, or HCI.
 </li>
 <li>
 Proven experience conducting original research on decision-making or behavioral modeling in digital contexts.
 </li>
 <li>
 Passionate about applying rigorous scientific research to real-world, impactful AI systems.
 
 
 </li>
 </ul>
 
 Who are Jack &amp; Jill?
 
 
 
 Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
 
 
 And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
 
 
 
 Next steps
 
 
 
 Step 1. Visit our website
 
 
 Step 2. Click 'Talk to Jack'.
 
 
 Step 3. Talk to Jack so he can understand your experience and ambitions.
 
 
 Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
 
 
 Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
 
 
 Step 6. If not, Jack will find you excellent alternatives. All for free.
 
 
 
 We never post fake jobs
 
 
 
 This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
 
 
 Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
 
 
 We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
 
 
 Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
 
 
</div>

Behavioral Research Scientist ($140,000-$160,000 + Equity) at VC-backed AI simulation platform

Intercom

<div><div>Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.</div><div><h2 class="jobSectionHeader">
What's the opportunity?</h2>

Intercom is building a GTM Data Products team to embed machine learning and AI directly into our Sales and Marketing workflows.

We are hiring a Senior GTM Data Scientist to design and deploy predictive systems that materially improve:
<ul>
<li>Customer acquisition (e.g. via lead scoring, attribution)</li>
<li>Sales efficiency (e.g. via book carves, sales quotas)</li>
<li>Customer retention and expansion (e.g. via revenue prediction)</li>
</ul>
This is not a reporting role.

This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.

You&rsquo;ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.

If you are excited about building applied machine learning systems that generate measurable revenue impact, this role is for you.
<h2 class="jobSectionHeader">
What will I be doing?</h2>
<div><ul><li>Build Revenue-Impacting ML Systems</li></ul>
</div><ul><li>Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)</li>
<li>Productionize models into operational systems (Salesforce, Marketo, outbound workflows)</li>
<li>Monitor model performance and iterate for measurable business lift</li>
<li>Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)</li>
<li>Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)</li>
</ul>
You don&rsquo;t just build models - you ensure they change behavior.
<div>
<ul><li>Own End-to-End Data Products</li></ul>
</div><ul><li>Translate ambiguous business problems into clear, measurable objectives</li>
<li>Define GTM data products vision, success metrics, and roadmap</li>
<li>Ensure integration into existing workflows and systems</li>
<li>Lead stakeholder alignment and change management</li>
<li>Secure buy-in from system owners before replacing or enhancing existing solutions</li>
</ul>
You operate as a mini GM for your data products.

 3. Architect Scalable Data Foundations
<ul>
<li>Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure</li>
<li>Ensure data quality, governance, and reproducibility</li>
<li>Elevate the team&rsquo;s standards for experimentation, documentation, and knowledge sharing</li>
<li>Push adoption of new tools and AI capabilities where appropriate</li>
</ul>
You raise the technical bar for the GTM organization.
<h2 class="jobSectionHeader">
What impact might I have?</h2>

Within 6-12 months, you might:
<ul>
<li>Launch predictive models that materially improve conversion, expansion, or retention</li>
<li>Reduce inefficiencies in Sales workflows through automation</li>
<li>Help leadership make investment decisions backed by rigorous data science</li>
<li>Influence GTM strategy through quantitative insight and modeling</li>
</ul>
Success is measured in business outcomes - not dashboards built.
<h2 class="jobSectionHeader">
What we&rsquo;re looking for</h2>

Experience
<ul>
<li>5+ years in Data Science, Applied ML, or Advanced Analytics</li>
<li>Experience building predictive models deployed into production environments</li>
<li>Experience working with Sales, Marketing, or GTM teams in a B2B SaaS environment preferred</li>
<li>Proven track record influencing senior stakeholders through data</li>
</ul>
Technical Skills
<ul>
<li>Expert-level SQL</li>
<li>Advanced Python or R for modeling and experimentation</li>
<li>Strong foundation in statistics and experimental design</li>
<li>Experience with:</li>
<li><ul><li>Predictive modeling</li>
<li>Feature engineering</li>
<li>Model evaluation &amp; validation</li>
<li>Causal inference or uplift modeling (strong plus)</li>
<li>Model deployment &amp; monitoring (strong plus)</li>
</ul></li>
</ul>Mindset &amp; Leadership

You are:
<ul>
<li>A trusted advisor who influences strategy, not just execution</li>
<li>Deeply curious about the &ldquo;why&rdquo; behind business metrics</li>
<li>Comfortable operating with autonomy in ambiguous environments</li>
<li>AI-first: you look for opportunities to automate, optimize, and scale</li>
<li>Clear and compelling in communication - you turn complex models into strategic decisions</li>
<li>Impact-oriented: you prioritize work that moves revenue</li>
</ul><h2 class="jobSectionHeader">Benefits</h2>

We are a well-treated bunch with awesome benefits! If there&rsquo;s something important to you that&rsquo;s not on this list, talk to us! :)
<ul>
<li>Competitive salary and meaningful equity</li>
<li>Comprehensive medical, dental, and vision coverage</li>
<li>Regular compensation reviews - great work is rewarded!</li>
<li>Flexible paid time off policy</li>
<li>Paid Parental Leave Program</li>
<li>401k plan &amp; match</li>
<li>In-office bicycle storage</li>
<li>Fun events for Intercomrades, friends, and family!</li>
</ul>
<ul><li>Proof of eligibility to work in the United States is required</li></ul>

The base salary range for candidates within the San Francisco Bay Area is $197,600 - $246,713. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid</div><div>
Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</div></div>

Senior GTM Data Scientist New

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