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senior research engineer

OpenAI

Careers
 
Research Scientist / Research Engineer — Early Career Cohort
 
Research - San Francisco
 
About the Program
 
OpenAI is hiring a
 
small cohort of exceptional early-career researchers and engineers
 
to join OpenAI Research.
 
This opportunity is designed primarily for
 
current undergraduate students and recent graduates
 
who have demonstrated technical ability through
 
elite competitions and challenges.
 
Participants join OpenAI directly as
 
full-time Research Scientists / Research Engineers
 
and begin with an intensive
 
one-month research bootcamp
 
designed to immerse them in the core problems behind modern AI systems.
 
Many of the strongest researchers at OpenAI first distinguished themselves through
 
mathematics or programming competitions
 
, and we believe exceptional reasoning ability is one of the strongest predictors of success in frontier AI research.
 
During the bootcamp participants will: 
Learn OpenAI’s research infrastructure and tools
 
Work with a mentor and get direct experience building here
 
Meet with researchers across multiple OpenAI teams and explore potential research directions
 
Work on technically demanding research challenges
 
After the bootcamp, participants enter a
 
structured team-matching process
 
before joining a permanent research team.
 
If you enjoy solving
 
very difficult problems
 
and want to work on the frontier of AI, we encourage you to apply.
 
About the Role
 
You will join OpenAI as a
 
full-time Research Scientist / Research Engineer
 
based in
 
San Francisco, CA
 
.
 
The first month consists of a structured research bootcamp where participants work closely with researchers across the organization before selecting a permanent research team.
 
This role follows a
 
hybrid, in-person collaboration schedule in San Francisco
 
. Relocation assistance may be available.
 
Who We’re Looking For
 
This role is designed for
 
early-career individuals
 
, especially current undergraduate students and recent graduates.
 
Strong candidates often demonstrate this through
 
technical competitions, research, or ambitious independent projects
 
.
 
You might be: 
A top competitor in mathematics or programming competitions (e.g., Olympiads, Putnam, ICPC, or similar contests)
 
A top performer in an OpenAI-hosted Challenge or similar
 
A mathematician, physicist, or quantitative researcher interested in the foundations of intelligence
 
A builder or hacker who has created ambitious technical systems or research prototypes
 
An exceptional early-career engineer or researcher with strong technical intuition
 
If you’ve done well in competitions such as the IMO, EGMO, IOI, Putnam, ICPC, or similar contests, we strongly encourage you to apply.
 
Minimum Qualifications
 
Demonstrated exceptional mathematical or algorithmic problem-solving ability
 
Strong ability to reason about complex technical or mathematical systems
 
Comfort with linear algebra, probability, statistics, and optimization
 
Evidence of rapid independent learning and technical creativity
 
Ability to obtain and maintain authorization to work in the United States by the program start date. Candidates who cannot secure appropriate work authorization by the start date may not be eligible for this cohort.
 
Preferred Qualifications
 
Candidates often demonstrate this ability through: 
High-level results in Olympiads, Putnam, ICPC, or similar competitions
 
Top or novel performance in an OpenAI-hosted Challenge or similar
 
Research in mathematics, algorithms, theoretical computer science, physics, or machine learning
 
Independent projects exploring machine learning systems, algorithms, or AI research
 
Application and Interview Process
 
Applications will be reviewed on a
 
rolling basis.
 
The cohort is expected to
 
start on June 3, 2026
 
.⁠
 
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
 
$295K

Research Scientist / Research Engineer — Early Career Cohort

Zyphra

<div>
 
 Zyphra
 
 is an artificial intelligence company based in San Francisco, California.
 
 
 
 The Role:
 
 
 
 As a
 
 Research Engineer - Brain Computer Interface Models
 
 , you will be a core contributor to Zyphra&rsquo;s BCI work, building the next generation of open-source EEG and brain&ndash;computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies.
 
 
 
 You&rsquo;ll Work Across:
 
 
 
 <ul>
 <li>
 Large-scale EEG model training runs and evaluation
 </li>
 <li>
 Architecture and training methodology ablations and innovations
 </li>
 <li>
 Dataset collection and preprocessing for EEG and other BCI modalities
 </li>
 <li>
 Performance optimization of the training stack
 </li>
 <li>
 Integration of models into real-world BCI applications
 
 
 </li>
 </ul>
 
 What We're Looking For / Requirements:
 
 
 
 <ul>
 <li>
 Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
 </li>
 <li>
 Excellent communication and collaboration skills, with clean and concise coding practices
 </li>
 <li>
 Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
 </li>
 <li>
 Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain
 </li>
 <li>
 Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space
 </li>
 <li>
 Proficiency with PyTorch and Python
 
 
 </li>
 </ul>
 
 Qualifications / Additional Skills:
 
 
 
 <ul>
 <li>
 Experience with VAEs, GANs, diffusion models, and contrastive learning
 </li>
 <li>
 Familiarity with signal processing (especially for EEG) and time-series analysis
 </li>
 <li>
 Experience training on large-scale (multi-node) GPU clusters
 </li>
 <li>
 Experience contributing to large existing codebases and ramping up quickly
 </li>
 <li>
 Previously published machine learning research in well-respected venues
 
 
 </li>
 </ul>
 
 Why Work at Zyphra:
 
 
 
 <ul>
 <li>
 Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued
 </li>
 <li>
 We strongly value new and crazy ideas and are very willing to bet big on new ideas
 </li>
 <li>
 We move as quickly as we can; we aim to minimize the bar to impact as low as possible
 </li>
 <li>
 We all enjoy what we do and love discussing AI
 
 
 </li>
 </ul>
 
 Benefits and Perks:
 
 
 
 <ul>
 <li>
 Comprehensive medical, dental, vision, and FSA plans
 </li>
 <li>
 Competitive compensation and 401(k) plan
 </li>
 <li>
 Relocation and immigration support on a case-by-case basis
 </li>
 <li>
 In-office snacks and meals provided
 </li>
 <li>
 Unlimited PTO and company holidays
 </li>
 <li>
 In-person team in San Francisco with a collaborative, high-energy environment
 
 
 </li>
 </ul>
</div>

Research Engineer - Brain Computer Interface Models

Charles Schwab

<div><h2 class="jobSectionHeader">Your opportunity</h2><div> 
At Schwab, your career is more than a job&mdash;it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office.</div><div></div><div> 
As part of Schwab&rsquo;s AI Strategy &amp; Transformation team (AI.x), you&rsquo;ll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences.</div><div></div><div> 
We&rsquo;re seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You&rsquo;ll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab&rsquo;s strategic goals, and mentor junior team members&mdash;cultivating best engineering practices and a culture of continuous learning.</div><div></div><div> 
In this pivotal role, you&rsquo;ll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You&rsquo;ll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications.</div><ul><li>
Design, build, and deliver GenAI applications that elevate client experience and generate business impact.</li><li>
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines.</li><li>
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards.</li><li>
Mentor and coach junior engineers, fostering strong practices and continuous learning.</li><li>
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment.</li><li>
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability.</li><li>
Advance engineering standards, focusing on operational excellence and quality across all deliverables.</li></ul><h2 class="jobSectionHeader">
What you have</h2><div> 
Required Qualifications</div><ul><li>
8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations.</li><li>
Bachelor&rsquo;s degree in Computer Science or related field.</li><li>
5+ years building complex products from scratch, running them in production, and ensuring operational reliability.</li><li>
3+ years building applications leveraging AI models for measurable business impact.</li><li>
3+ years developing applications and data pipelines interfacing with large datasets.</li><li>
3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code.</li></ul><div>
Preferred Qualifications</div><ul><li>
Strong computer science fundamentals and experience across the tech stack.</li><li>
Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production.</li><li>
Commitment to quality&mdash;driving high standards and writing tests at all levels.</li><li>
Experience writing and running evaluations for quality and consistency in LLM-generated output.</li><li>
Strong written and verbal communication skills to clearly convey ideas and feedback.</li><li>
Mentoring junior engineers and supporting their technical growth through code reviews and guidance.</li><li>
Mindset of continuous learning and improvement.</li><li>
Ability to solve complex problems with ambiguous or incomplete data in distributed systems.</li><li>
Demonstrated business domain knowledge relevant to previous products.</li><li>
Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement.</li><li>
Experience with Python and front-end development preferred but not required.</li><li>
Master&rsquo;s or advanced degree in Computer Science or related field.</li></ul><div>
In addition to the salary range, this role is eligible for bonus or incentive opportunities.</div><div><h2 class="jobSectionHeader"> 
What&rsquo;s in it for you</h2>
At Schwab, you&rsquo;re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration&mdash;so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:<ul><li>
401(k) with company match and Employee stock purchase plan</li><li>
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions</li><li>
Paid parental leave and family building benefits</li><li>
Tuition reimbursement</li><li>
Health, dental, and vision insurance</li></ul></div></div>

Sr. AI Engineer, AI.x

Lila Sciences

<div>
 
 Your Impact at Lila
 
 
 
 We&rsquo;re seeking a Machine Learning Research Engineer for the Open-Endedness Team with expertise in large model training and optimizing novel algorithms for best results in distributed ML infrastructure. You&rsquo;ll design and maintain large-scale training systems, optimize performance for large models, and integrate cutting-edge techniques to improve efficiency and throughput.
 
 
 Open-Endedness is an emerging area of machine learning that aims to automate never-ending innovative processes of discovery and exploration. The Open-Endedness Team, led by Ken Stanley, investigates in particular how a continual chain of deep transformative creativity can be maintained that far exceeds the derivative creativity seen in current models. In effect, the systems developed on this team will go beyond simply solving problems posed by users, to conceiving the future unimagined directions of science itself.
 
 
 
 What You'll Be Building
 
 
 
 <ul>
 <li>
 Distributed training infrastructure for LLMs and multi-modal models.
 </li>
 <li>
 Performance optimizations for large-scale model training including training and optimization workflows (SFT, RL, long-context, etc.).
 </li>
 <li>
 Orchestrate frontier and open source LLMs along with complex compute-intensive tool use
 </li>
 <li>
 Scalable pipelines for data preprocessing and experiment orchestration, including tools for efficient data loading, pipeline parallelism, and optimizer tuning.
 </li>
 <li>
 System-level performance benchmarks and debugging utilities.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 Proven experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray).
 </li>
 <li>
 Strong software engineering skills (Python, C++ kernel contributions are a plus).
 </li>
 <li>
 Understanding of large-scale model training techniques.
 </li>
 <li>
 Experience with cloud or HPC environments.
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 Prior work with scientific datasets or domain-specific modeling.
 </li>
 <li>
 Contributions to open-source ML frameworks.
 
 
 </li>
 </ul>
 
 About Lila
 
 
 
 Lila Sciences is the world&rsquo;s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai
 
 
 If this sounds like an environment you&rsquo;d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
 
 
 
 We&rsquo;re All In
 
 
 
 Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 
 
 Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
 
 
 
 A Note to Agencies
 
 
 
 
 Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science&rsquo;s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
 
 
 
 CompensationWe offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.
 
 
 Expected Base Salary Range: $148,000 USD - $240,000 USD
</div>

Senior Machine Learning Research Engineer I/ II, Open-Endedness

Train With Ellie

<div>About Owner.com
Owner is the AI growth system for local restaurants. 
Our AI continuously improves SEO, marketing, and online ordering to grow first-party orders. Unlike other companies that force small business owners to master their software to drive sales, Owner gives them a proven system run by experts. 
Owner is like having an army of engineers and marketers on your side, just like the big chains. 
Our vision
We&rsquo;re starting by helping independent restaurants succeed online. 
But it&rsquo;s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. 
Once we nail the solution for restaurants &ndash; we&rsquo;ll scale it into every other local business type. 
In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. 
Read our Series C memo here 
Our traction
Since 2020, we've generated tens of millions in revenue and processed over half a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website. 
More importantly, we&rsquo;ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. 
Our team
Our team is now in the low hundreds. We&rsquo;ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. 
We&rsquo;ll be scaling even faster in 2026 to keep pace with our customer growth. 
Where we work
Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location! 
Why we&rsquo;re looking for you
We&rsquo;re looking for a Device Lab Engineer to build and run Owner&rsquo;s device testing lab for our new POS product line. This lab will be the source of truth for validating hardware and software combinations across tablets, routers, card readers, printers, and other peripherals, and ensuring every release works across the real-world matrix our restaurants depend on. 
You&rsquo;ll be our first dedicated lab hire: an individual contributor who can bring structure, speed, and confidence to a fast-moving hardware + software environment. This role sits at the intersection of product engineering, QA, and operations &mdash; and will help define the standard for what &ldquo;ready to ship&rdquo; means for Owner POS. 
This is a hybrid role located in San Francisco, California.
The impact you will have<ul><li>
Own the device lab end-to-end: procure, provision, organize, and maintain a fleet of POS tablets, networking equipment, payment devices, printers, and related peripherals.</li><li>
Define and execute device validation plans across changing variables including: hardware models and revisions device configuration and provisioning states OS versions and patch levels Owner POS application versions peripheral firmware and connection types (USB, Bluetooth, Wi-Fi, Ethernet)</li><li>
Build and maintain a testing matrix that captures supported and in-progress combinations; continuously expand coverage as we add new devices and markets.</li><li>
Create and evolve SOPs for hardware/software testing, device setup, troubleshooting, and re-qualification when any variable changes.</li><li>
Run regression and acceptance testing for POS releases, peripheral integrations, and OS/firmware updates; clearly document results and risks.</li><li>
Investigate and root-cause device issues by reproducing bugs in the lab, isolating variables, and partnering with engineering to land fixes.</li><li>
Partner cross-functionally with POS Engineering, Mobile/Backend, Payments, Support, and Product to drive lab priorities and release readiness.</li><li>
Improve lab efficiency over time, including lightweight automation for repeatable test flows, inventory tracking, and device health monitoring.</li><li>
Help define lab strategy as we scale: what to standardize, what to automate, and what future hires or tooling will be needed.</li></ul>
What we&rsquo;re looking for<ul><li>
5+ years in device, hardware, systems, or integration testing - ideally in POS, payments, mobile, IoT, or consumer electronics.</li><li>
Hands-on experience testing integrated hardware + OS + application + peripherals in real device environments (not just simulators).</li><li>
Experience using or administering Mobile Device Management (MDM) solutions to provision, configure, secure, and maintain fleets of tablets/devices (e.g., Esper, Microsoft Intune, VMware Workspace ONE (AirWatch), Jamf, Kandji, SOTI MobiControl, Scalefusion, or Hexnode, or similar).</li><li>
Comfortable with device provisioning, OS flashing/updating, firmware management, and peripheral bring-up.</li><li>
Experience building test automation for hardware/device workflows (even small scripts or harnesses).</li><li>
Track record of defining, documenting, and maintaining SOPs for test labs or hardware/software validation processes.</li><li>
Strong instinct for building clear test matrices, prioritizing risk-based coverage, and spotting gaps before they ship.</li><li>
Strong debugging skills: logs, repro steps, variable isolation, and communicating findings clearly to engineers.</li><li>
Organized, detail-oriented lab operator who can manage inventory, keep environments consistent, and maintain high signal test results.</li><li>
Ability to thrive in ambiguity and build new functions from zero to one.</li></ul> 
Pay and benefits<ul><li>
The estimated base salary range for this role is $170,000 - $190,000 plus a generous pre-IPO equity package</li><li>
Other benefits include comprehensive health coverage, remote-first workplace, unlimited PTO - plus extra fun perks!</li></ul> 
 Notice - Employment Scams
Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.
We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by scammer, please mark the communication as &quot;phishing&quot; or &ldquo;spam&rdquo; and do not respond.</div><div></div>

Senior Device Lab Engineer

ChatGPT Jobs

<div>
 
 Job Description
 
 
 
 Machine Learning Engineer
 
 
 
 Company:
 
 Harnham
 
 
 
 Location:
 
 San Francisco, CA
 
 
 <ul>
 <li>
 Remote
 
 
 </li>
 </ul>
 
 Type:
 
 Full-time
 
 
 
 Posted:
 
 10 hours ago
 
 
 
 Job Description
 
 
 
 
 MACHINE LEARNING ENGINEER - MULTIMODAL AI
 
 
 
 
 FULLY REMOTE
 
 
 
 
 $260,000 - $325,000
 
 
 
 An exciting opportunity for an experienced Machine Learning Engineer to join a team building next-generation multimodal AI systems for media generation. This role is ideal for someone with strong engineering skills, deep ML experience, and a passion for turning cutting-edge research into production-ready systems.
 
 
 You'll work on generative models for image and video, collaborating closely with engineering and product teams to bring AI-driven creative tools to life.
 
 
 
 The Company
 
 
 
 The company is a leader in AI-powered creative technology, pushing the boundaries of content creation on the browser. The engineering team is highly collaborative, fast-moving, and focused on building human-in-the-loop systems that scale.
 
 
 THE ROLE
 
 
 Hands-on engineering role focused on developing and deploying advanced ML models.
 
 
 <ul>
 <li>
 Develop computer vision and generative AI models for image and video
 </li>
 <li>
 Prototype and iterate on research solutions under tight timelines
 </li>
 <li>
 Collaborate with engineering, product, and research teams to productionize models
 </li>
 <li>
 Ensure clean, maintainable, and high-performance code
 
 
 </li>
 </ul>
 
 Your Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5+ years in ML, computer vision, graphics, or related research/engineering roles
 </li>
 <li>
 Strong programming skills; experience with CUDA and C++ for performance optimizations
 </li>
 <li>
 Experience with at least one ML framework (PyTorch, TensorFlow)
 </li>
 <li>
 Deep interest in human-in-the-loop systems for creativity
 </li>
 <li>
 Ability to rapidly prototype and iterate on solutions
 </li>
 <li>
 Excellent collaboration, communication, and documentation skills
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Please register your interest by sending your resume to Calum Reid via the apply link on this page.
 
 
 
 About Harnham
 
 
 
 <ul>
 <li>
 Company size: 51 - 200 Employees
 </li>
 <li>
 Headquarters location: New York, NY, US
 </li>
 <li>
 Year founded: 2006
 </li>
 </ul>
</div>

Machine Learning Engineer

Acceler8 Talent

<div>
 
 🚨
 
 Hiring: Machine Learning Engineer (Optimization / Decision Systems)
 
 
 
 📍 San Francisco (Onsite)
 
 
 💰 Up to $250K + Equity (Dependent on experience)
 
 
 
 
 
 Most companies still manage digital advertising like it&rsquo;s 2015. Manually adjusting budgets, guessing which campaigns work, and relying on black-box metrics from ad platforms.
 
 
 We&rsquo;re working with a venture-backed startup building something very different:
 
 
 An AI-driven optimization engine that autonomously allocates advertising spend using the same quantitative rigor used in high-frequency trading and financial markets.
 
 
 Instead of humans manually managing campaigns, their system continuously decides:
 
 
 &bull; Where budget should go
 
 
 &bull; When bids should change
 
 
 &bull; Which creative is losing performance
 
 
 &bull; How to maximize return across platforms
 
 
 
 
 
 
 What You&rsquo;ll Work On:
 
 
 
 🧠 Build models for LTV prediction and budget optimization
 
 
 ⚙️ Design risk-aware algorithms that control how millions in ad spend is deployed
 
 
 🔌 Build real-time integrations with platforms like Meta, Google &amp; TikTok
 
 
 📊 Develop simulation &amp; backtesting systems before strategies go live
 
 
 🚀 Take models from research &rarr; production &rarr; monitoring
 
 
 
 
 
 
 Ideal Background:
 
 
 
 ✔️ 4+ years in Machine Learning or Applied ML Engineering
 
 
 ✔️ Strong foundation in statistics, probability, and optimization
 
 
 ✔️ Experience deploying ML models in production systems
 
 
 ✔️ Builders who care about real-world impact, not just research
 
 
 
 
 
 ⭐ Bonus if you&rsquo;ve worked in quant finance, algorithmic trading, or adtech
 
 
 
 
 
 
 Why This Role Is Interesting:
 
 
 
 &bull; You&rsquo;ll build systems that control real-world financial decisions
 
 
 &bull; Early engineer helping shape the core architecture
 
 
 &bull; Opportunity to work on a $1T+ global market
 
 
 &bull; Meaningful equity at an early stage
 
 
 
 
 
 If you're interested or know someone who might be, DM me or apply below 👇👇
 
</div>

Explore 271+ Senior research engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.

271 senior research engineer jobs In San Francisco

Research Scientist / Research Engineer — Early Career Cohort

Research Engineer - Brain Computer Interface Models

Sr. AI Engineer, AI.x

Senior Machine Learning Research Engineer I/ II, Open-Endedness

Senior Device Lab Engineer

Machine Learning Engineer

Machine Learning Engineer