software engineer

ml engineer

Plaid

<div><div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div></div><div><br>
The Data Foundation &amp; AI team builds advanced ML/AI models and applications that enable product teams to deliver intelligence at scale. We design infrastructure and abstractions that make AI development faster, more reliable, and more impactful. From embeddings and representation learning to applied AI systems, our work provides the building blocks for the next generation of financial services on Plaid.</div><div></div><div><br>
You&rsquo;ll be a senior machine learning engineer on the Data Foundation &amp; AI team. In this role, you will design, build, and scale advanced ML/AI systems that power Plaid products and applications. Your work may span developing reliable distributed training and serving systems, improving ML operations at scale, and building AI-powered applications that enable new product experiences.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Building and scaling advanced ML/AI systems that power core Plaid products and applications used by millions of consumers.</li><li>
Driving impact at scale by improving distributed training, serving, and ML operations to make Plaid&rsquo;s AI capabilities faster, more reliable, and more widely available.</li><li>
Developing new AI applications that enable innovative product experiences across fintech.</li><li>
Tackling 0 to 1 problems where you explore new approaches, as well as scaling 1 to 10 systems for reliability and efficiency.</li><li>
Collaborating with some of the strongest MLEs at Plaid in a high-ownership, bottom-up driven team.</li><li>
Experimenting with cutting-edge ML and AI techniques while balancing practical productionization and measurable business impact.</li></ul></li></ul></div></div><br>
<div></div>
<div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li><ul><li>
5+ years of experience training, deploying, and scaling ML/AI models in production environments.</li><li>
Strong experience with distributed systems and ML operations &mdash; from large-scale training to low-latency serving and monitoring.</li><li>
Proficiency in Python and modern ML frameworks (e.g., PyTorch), with the ability to implement and optimize complex models.</li><li>
Hands-on experience building or scaling ML/AI infrastructure, pipelines, or reusable platforms that support multiple teams.</li><li>
Curiosity and drive to experiment with advanced AI techniques (e.g., embeddings, retrieval, generative modeling) while staying grounded in production impact.</li><li>
Experience applying ML/AI in fintech or similarly regulated industries is a plus.</li><li>
Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes.</li></ul></li></ul></div></div>
<div><div>$225,600 - $337,200 a year</div><div>
The target base salary for this position ranges from $225,600/year to $337,200/year in Zone 1. The target base salary will vary based on the job's location.</div><div></div><div><br>
Our geographic zones are as follows:</div><div>
Zone 1 - New York City and San Francisco Bay Area</div><div>
Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>
Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>
Zone 4 - Raleigh-Durham and all other US cities</div><div></div><div><br>
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div></div>
<div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div></div><div><br>
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.</div></div></div><div></div>

Senior Machine Learning Engineer - Data Foundation and AI

OpenAI

About the Team
<br><br>
The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world.
<br><br>
We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.
<br><br>
About the Role
<br><br>
We are looking for a
<br><br>
Machine Learning Engineer
<br><br>
to join our
<br><br>
Notifications team
<br><br>
, focused on building and scaling intelligent notification systems that provide real value to users even when they are not actively on the product. This role will be central to shaping how ChatGPT communicates proactively and helpfully with users—surfacing the right content, at the right time, through the right channel.
<br><br>
You will work on designing and implementing ranking and recommendation systems that leverage both classical ML techniques and large language models (LLMs) to optimize notification relevance, timeliness, and user experience. The ideal candidate has strong ML fundamentals, experience shipping ranking or recommendation systems in production, exposure to LLMs, and sharp product intuition. You should be comfortable operating across research and product boundaries: thinking from first principles, running rigorous experiments, and building scalable systems.
<br><br>
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
<br><br>
<b>In this role, you will:</b><br>
Design and build end-to-end
<br><br>
ranking and recommendation systems
<br><br>
for notifications, from modeling to evaluation and deployment.
<br><br>
Apply and adapt
<br><br>
LLMs to ranking problems
<br><br>
, including prompt-based approaches and fine-tuning.
<br><br>
Develop experiments to evaluate notification relevance, user value, and long-term impact, working closely with product, data science, and engineering teams.
<br><br>
Collaborate with research teams to leverage the latest modeling techniques while balancing practical constraints of production systems.
<br><br>
Build robust offline and online evaluations to measure system improvements and user outcomes.
<br><br>
Contribute to the broader Growth ML stack and help set technical direction for intelligent user engagement systems.
<br><br>
<b>You might thrive in this role if you:</b><br>
Have hands-on experience building and deploying
<br><br>
ranking, recommendation, or personalization systems
<br><br>
at scale.
<br><br>
Have a deep understanding of machine learning and its applications, with exposure to
<br><br>
LLMs
<br><br>
and their integration into product experiences.
<br><br>
Are experienced in
<br><br>
experimentation
<br><br>
, A/B testing, and analyzing impact on user behavior and business metrics.
<br><br>
Are comfortable diving into large ML codebases, designing evaluations, and debugging complex modeling issues.
<br><br>
Thrive in dynamic, fast-changing environments and can think from first principles to design elegant solutions.
<br><br>
Have strong
<br><br>
product intuition
<br><br>
and can balance modeling sophistication with product impact.
<br><br>
About OpenAI
<br><br>
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.
<br><br>
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.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
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.
<br><br>
Compensation
<br><br>
$325K – $590K + Offers Equity

Research Engineer, Notifcations

Windfall

<div><div>At Windfall, data science is central to our mission as a people data and AI company. We aim to revolutionize how organizations perceive and utilize people data by providing leading commercial and nonprofit partners with accurate and actionable predictive models.</div><div></div><div><br>
We are looking for a deeply technical Staff Data Scientist to join our Modeling &amp; AI team. In this role, you will be the go-to expert for our most complex modeling challenges. You will be a hands-on-keyboard architect, designing and building sophisticated, scalable machine learning systems that power our model offerings. You'll spend your time tackling ambiguous problems, pioneering novel modeling techniques, and writing production-grade code that elevates the technical bar for the entire team.</div><div></div><div><br>
Your work will be directly applied, as you collaborate closely with customers to develop a range of models&mdash;from sophisticated marketing and lead scoring models to donation likelihood models that empower top nonprofit organizations worldwide. This position is ideal for an individual who is passionate about deep technical exploration, solving challenging technical problems, and constructing robust, end-to-end ML solutions that deliver immense value to our clients.</div>
<h3 class="jobSectionHeader"><b>Responsibilities:</b></h3><ul><li>
Architect and Own Modeling Solutions: You will lead the design and own the end-to-end lifecycle of our most sophisticated machine learning models, from ideation and strategic planning through to deployment and long-term performance monitoring.</li><li>
Synthesize Diverse Datasets: You will become an expert at blending first-party customer data with Windfall's proprietary data assets to engineer novel features and build highly predictive models.</li><li>
Build for Scale: You will go beyond individual models to design and build scalable, reusable data pipelines and modeling frameworks that improve the efficiency and capabilities of the entire team.</li><li>
Innovate and strategize: Address complex, ambiguous problems and craft creative modeling solutions to meet diverse customer needs across various industries.</li><li>
Communicate with Impact: You will be responsible for clearly communicating model performance, methodology, and business impact to both technical and non-technical stakeholders.</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
8+ years of professional industry experience in data science, with a proven track record of leading complex machine learning projects from conception to completion.</li><li>
Deep, expert-level knowledge of machine learning theory and its practical application, including extensive experience with classification, regression, and feature engineering.</li><li>
Mastery of Python and its data science ecosystem.</li><li>
Expert-level SQL skills, with the ability to write optimized queries against large-scale datasets.</li><li>
A strategic, product-driven mindset with a history of influencing product roadmaps and tying data science initiatives directly to business outcomes.</li><li>
Hands-on experience with the engineering aspects of data science, including proficiency with Docker for containerization and experience building and deploying data pipelines.</li><li>
Eligible to work within the United States.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h3><ul><li>
Experience designing and implementing MLOps best practices for model monitoring, versioning, and automated retraining.</li><li>
Familiarity with modern cloud data platforms (e.g., BigQuery) and pipeline orchestration tools (e.g., Airflow).</li><li>
Experience working in marketing analytics, ad-tech, fintech, or for a nonprofit organization.</li><li>
A Master's degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics.</li></ul><div><b>
Additional Information:</b></div><div>
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site.</div><div></div><div><b><br>
California</b>: Salary range is $200,000 - $230,000 + Equity</div><div><b>
About Windfall</b></div><div>
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.</div><div></div><div><b><br>
We comply with CCPA. </b>For more information on how we comply, review our privacy notice.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Staff Data Scientist

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
25WD92020<div></div><div>
Position Overview</div><div></div><div>
Autodesk Research is a dynamic team of researchers, engineers, and industry domain experts who collaborate with leading academic and industry partners.</div><div>
We are seeking an AI Research Scientist specializing in Motion Generation to intern with our Media and Entertainment research team this summer. Your work will focus on exploring novel motion generation techniques using state-of-the-art Machine Learning methods. You will work with other research scientists, ML engineers, and industry experts to deploy and validate your approach in the context of a character animation workflow, with the potential to significantly enhance the character animation pipeline for professional animators.</div><div>
Our unique environment combines the best of academia with product-driven research. We have a strong track record of publishing at top-tier conferences such as NeurIPS, ICML, and SIGGRAPH, and our research also contributes to cutting-edge features in Autodesk&rsquo;s suite of products.</div><div></div><div>
Responsibilities</div><ul><li><div>
Develop and implement novel machine learning models for motion generation in the context of character animation</div></li><li><div>
Experiment with and analyze motion capture and key-framed animation datasets</div></li><li><div>
Collaborate with a cross-functional team to integrate and test new methods within existing animation workflows</div></li><li><div>
Review relevant AI/ML literature to identify emerging methods, technologies, and baseline approaches</div></li><li><div>
Document research findings and present results to the broader research team and other stakeholders</div></li><li><div>
Contribute to the publication of research papers and patents based on your findings</div></li></ul><div></div><div>
Minimum Qualifications</div><ul><li><div>
Full-time student pursuing an MS or Ph.D. (preferred) in Computer Science, Graphics, Machine Learning or similar in an accredited program with at least one academic term to complete post-internship</div></li><li><div>
Proven experience in machine learning, with a focus on motion generation or character animation</div></li><li><div>
Strong programming skills in Python and familiarity with machine learning frameworks like TensorFlow or PyTorch</div></li><li><div>
Experience conducting research and publishing results</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
Previous publications in the field of motion generation</div></li><li><div>
Experience with Transformer and Diffusion-based models</div></li><li><div>
Experience developing for character animation tools like Maya or 3ds Max</div></li><li><div>
Passion for and experience in the character animation and/or visual effects industry</div></li></ul><div></div><div>
Learn More</div><div></div><div>
About Autodesk</div><div>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</div><div></div><div>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</div><div></div><div>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</div><div></div><div><div><div><div><div><div><div><div>
Salary Transparency</div></div></div></div></div></div></div></div><div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience, educational level, and geographic location, and can exceed this range.</div><div></div><div>
For U.S.-based roles, we expect a starting annualized intern base salary to be between:</div><ul><li>
$47,840 and $95,680 (undergraduate students)</li><li>
$72,800 and $118,500 (Masters/MBA students)</li><li>
$118,560 and $162,240 (PhD students)</li></ul><div></div><div>
Equal Employment Opportunity</div><div>
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.</div><div></div><div>
Diversity &amp; Belonging<br>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: <div>https://www.autodesk.com/company/diversity-and-belonging</div></div></div>

PhD Intern, AI Research Scientist, Motion Generation

Charles Schwab

<p></p><div><p>San Francisco, CA
</p><p>Requisition ID 2025-115962</p>
<p>Category Data Analytics and Strategy</p>
<p>Position type Regular</p>
<p>Pay range USD $184,000.00 - $276,000.00 / Year</p>
<p>Application deadline 2025-10-15</p></div>
<br><div><div><p>Your opportunity</p><br>
<p>
At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do.</p><p>
Schwab&rsquo;s AI Strategy &amp; Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As an AI Researcher on AI.x, you will play a key role in bringing these priorities to life by advancing cutting-edge AI research and developing innovative solutions.</p><p>
This role is more than a research position. It is an opportunity to join a high-profile team shaping Schwab&rsquo;s future with AI, to create research that matters to millions of clients, and to grow your career in one of the most exciting areas of technology today.</p><p>
As an AI Researcher, you will design, investigate, and develop novel AI models and algorithms that enhance client experience and create business value. You will work closely with architects, engineers, and business leaders to align research efforts with Schwab&rsquo;s enterprise strategy. You will mentor and coach junior researchers, helping to build strong scientific practices and foster a culture of continuous learning. You will lead by example in tackling complex technical challenges, advancing research standards, and driving rapid experimentation from concept to application. Above all, you will bring curiosity, creativity, and technical depth to help shape the next generation of AI at Schwab.</p><p>
What you have</p><br>
<p>
Required Qualifications:</p><ul><li>
 A master&rsquo;s or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry experience</li><li>
7+ years of experience in AI / ML research and development using Python</li><li>
7+ years of experience building data pipelines and data analyses that interface with large datasets</li><li>
3 + years of experience using AI models to deliver business value</li><li>
Advanced expertise in machine learning, natural language processing, and / or generative AI</li></ul><p>
Preferred Qualifications:</p><ul><li>
Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python</li><li>
Strong computer science fundamentals, including experience writing unit tests</li><li>
Experience working with LLMs and shipping LLM-powered applications to production</li><li>
Ability to solve complex problems with ambiguous or incomplete data</li><li>
Experience working with and mentoring engineers, through presentations, clear feedback and code reviews</li><li>
Curiosity about new technologies and processes &ndash; you always seek to improve yourself and everyone around you and proactively seek and share knowledge with others on your team</li><li>
Strong communication skills &ndash; you balance written and verbal communication to clearly share your perspective with others on the team</li><li>
Demonstrated mindset of continuous learning and improvement</li><li>
Demonstrated business domain knowledge related to all products you have worked on</li></ul><p>
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.</p><div><p><br>
What&rsquo;s in it for you</p><p>
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.</p><p>
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:</p><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><p></p><div><br>
<p></p>
</div></div><div><p>Eligible Schwabbies receive</p>
<ul><div><p>Medical, dental and vision benefits</p>
</div><div><p>401(k) and employee stock purchase plans</p>
</div><div><p>Tuition reimbursement to keep developing your career</p>
</div><div><p>Paid parental leave and adoption/family building benefits</p>
</div><div><p>Sabbatical leave available after five years of employment</p></div></ul></div></div>

Senior AI Researcher

Tonic.ai

<div><p>Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. You'll join a small, experienced team working at the intersection of LLMs, data privacy, and applied AI &mdash; developing and fine-tuning models that detect and redact sensitive information across diverse datasets.</p><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h2><ul><li><p><b>
Build and ship models.</b> Fine-tune and evaluate transformer-based models (e.g., RoBERTa, Gemma, LLaMA) to support PII redaction, entity extraction, and synthetic data generation.</p></li><li><p><b>
Own the ML lifecycle.</b> From dataset curation and experiment tracking to model deployment and monitoring &mdash; you&rsquo;ll own the full path from prototype to production.</p></li><li><p><b>
Collaborate cross-functionally.</b> Partner with Product and Design to shape how ML models drive user-facing features, and work with the broader engineering team to integrate them into scalable systems.</p></li><li><p><b>
Experiment responsibly.</b> Document your experiments, evaluate results rigorously, and help push the frontier of safe and explainable AI for data privacy.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Bring</b></h2><ul><li><p>
3+ years of professional experience in applied ML or data science with a focus on NLP</p></li><li><p>
Proficiency in <b>Python</b> and deep learning frameworks such as <b>PyTorch</b> and <b>Hugging Face Transformers</b></p></li><li><p>
Hands-on experience with <b>experiment tracking</b> (e.g., Weights &amp; Biases), <b>distributed training</b> (e.g., Accelerate), and <b>model serving</b> (e.g., vLLM)</p></li><li><p>
Comfort working independently and iterating quickly &mdash; you enjoy the mix of research, engineering, and product thinking</p></li><li><p>
Strong communication and collaboration skills</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Bonus Points For:</b></h2><ul><li><p>
Experience with supervised and reinforcement learning fine-tuning (e.g. TRL)</p></li><li><p>
Familiarity with data privacy, PII redaction, or healthcare data</p></li><li><p>
A public portfolio, blog, or open-source contributions that demonstrate your technical depth and curiosity</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Why You&rsquo;ll Love It Here</b></h2><ul><li><p>
High autonomy and meaningful ownership &mdash; your models will ship to production, not sit in a notebook</p></li><li><p>
Small, collaborative team with deep expertise in NLP and privacy</p></li><li><p>
Opportunity to work with real-world, high-impact data in domains like healthcare and financial services</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li><p>
Competitive salary and company equity</p></li><li><p>
Unlimited PTO and generous parental leave</p></li><li><p>
Medical, dental, and vision insurance</p></li><li><p>
401(k) with employer contribution</p></li><li><p>
Remote-friendly work environment</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About Tonic.ai</b></h2><p>
Tonic.ai creates safe, high-quality synthetic data that helps developers move fast while protecting sensitive information. Thousands of engineers rely on Tonic-generated data daily to power development, testing, and CI/CD pipelines across industries including healthcare, financial services, logistics, and education. We&rsquo;re growing fast and looking for builders who want to make privacy practical.</p></div>

Machine Learning Engineer (NLP)

Verge Genomics

<div><p><b>Who We Are</b></p><p>
Technology has transformed almost every single aspect of our lives. Yet, it still takes 12 years to develop a single drug. Thousands of diseases affecting hundreds of millions of people have no effective treatment. Accelerating the pace of bringing effective, new medicines to patients is one of the greatest opportunities for humanity. The biggest driver of rising drug development timelines today are the high rates of drug failures in clinical trials.</p><p>
Our mission is to develop better drugs, faster using AI to improve clinical success rates. CONVERGE, our AI drug discovery engine, houses one of the field&rsquo;s largest proprietary multi-modal human tissue datasets. We use machine learning to map the complex causes of disease, discover new targets with a greater probability of success, and de-risk development decisions.</p><p>
We have delivered 2 new targets from data to clinical drugs, discovered 282 new targets, and signed 2 commercial partnerships with Eli Lilly and AstraZeneca totalling $1.6B. We have raised $180M from top tier investors (e.g. BlackRock, Eli Lilly, Merck, Section 32, Threshold Ventures, Y Combinator, etc.). We are a team of engineers, neuroscientists, and drug developers united around an audacious vision: to build the next Genentech of the digital age.</p><p></p><p><b>
Your Mission</b></p><p>
We are looking for a 0-to-1 technical product leader to drive the evolution of CONVERGE, our AI-powered discovery engine, into new revenue-generating product lines and transform how biotech leverages human data.</p><p></p><p><b>
Your 12 Month Outcomes</b></p><ul><li><p>
Launch new Insights as a Service product that books $3M in year one revenue</p></li><li><p>
Develop 3 year product strategy to scale ARR to &gt;$30M</p></li><li><p>
Ship an MVP self-service software platform leading to a 50% reduction in service-hours/project</p></li><li><p>
Deliver a biology foundation model with AI partners that outperforms public evals</p></li><li><p>
Grow Verge&rsquo;s proprietary tissue dataset by 30% in Y1 by developing a capital-efficient growth flywheel for human tissue</p></li></ul><p></p><p><b>
You Will Own</b></p><ul><li><p><b>
Product Strategy &amp; Execution
</b></p><ul><li><p>Own the full lifecycle of CONVERGE&rsquo;s product evolution&mdash;vision, roadmap, delivery, and iteration</p></li><li><p>
Translate corporate strategy into a phased product plan (0 1 N) that sequences services, self-serve SaaS, and data licensing opportunities</p></li><li><p>
Define and track core product KPIs: usage, margin uplift, time-to-value, and revenue per customer</p></li><li><p>
Distill messy inputs from customers into focused product insights and monetizable workflows</p></li><li><p>
Maintain and prioritize a live backlog of technical product experiments ranked by ROI and velocity</p></li><li><p>
Build early scrappy prototypes that clarify product direction</p></li><li><p>
Drive strategy to expand proprietary datasets with cost efficiency</p></li><li><p>
Audit Verge's engineering capabilities; recruit, mentor, and up-level a small, high-performing team with a culture of rapid iteration and product excellence</p></li><li><p>
Establish a tight product-engineering operating cadence (continuous discovery, frequent shipping)</p></li></ul></li><li><p><b>
AI Innovation</b></p><ul><li><p>
Work closely with AI tech partners to co-develop new bio foundation models, including defining data requirements, evals, model objectives, and driving commercial alignment</p></li><li><p>
Drive rapid iteration from off-the-shelf models to proprietary multimodal models integrating Verge's proprietary datasets</p></li><li><p>
Build agentic workflows that translate model outputs into actionable insights for drug developers</p></li><li><p>
Continuously scout emerging AI technologies (e.g. multi-modal models, agentic frameworks) and adapt quickly</p></li></ul></li><li><p><b>
Customer Delivery</b></p><ul><li><p>
Lead the delivery of CONVERGE-powered services to pharma and biotech customers</p></li><li><p>
Ensure output quality, turnaround time, and customer satisfaction exceed expectations</p></li><li><p>
Embed within BD and translate customer feedback into scalable products</p></li><li><p>
Automate internal workflows to improve engineer productivity and throughput</p></li><li><p>
Deliver products that are intuitive, impactful, and well-integrated into pharma/biotech workflows</p></li></ul></li></ul><p></p><p><b>
Requirements</b></p><ul><li><p>
6+ years of product or engineering experience with 2+ years in AI/ML or data-centric product areas</p></li><li><p>
Shipped 0 to 1 products - ideally in AI/ML, life sciences, or enterprise SaaS</p></li><li><p>
Experience working directly with foundation models, including designing evals and deploying fine-tuned/custom models</p></li><li><p>
Experience building internal tools for cross-functional stakeholders</p></li><li><p>
Technical fluency: Can build early demos yourself (Python, LangChain, vector stores, ML Ops) and set engineering direction</p></li><li><p>
Strategic thinker: Fluency in SOTA in AI/ML with sophisticated perspective on future directions and vertical applications</p></li><li><p>
Business acumen: Understanding of enterprise business models (e.g. SaaS, IaaS)</p></li><li><p>
Strong product sense: ability to turn ambiguous customer problems into elegant solutions</p></li><li><p>
Track record of managing technical teams</p></li><li><p>
Founder or entrepreneurial mindset - bias to action, thrives in uncertainty, ruthless prioritization</p></li><li><p>
Nice to have but not required: Exposure to pharma, biotech, or life sciences settings</p></li></ul><p></p><p><b>
What&rsquo;s In It for You</b></p><ul><li><p>
An opportunity to leverage your technical skills to help millions of patients suffering from the biggest medical challenges of our time</p></li><li><p>
Ability to set your own hours &ndash; we care more accomplishing great work, not how many hours or where you work</p></li><li><p>
Opportunity to rewrite the standard biotech business playbook and shape new strategies for integrating multimodal datasets and AI into drug discovery workflows</p></li><li><p>
Stunning colleagues who are pioneers in AI-enabled drug discovery</p></li><li><p>
A drama-free culture steeped in authenticity, transparency, and vulnerability</p></li><li><p>
A true strategic and thought partnership with the CEO</p></li><li><p>
Ground floor seats at a high growth company during a critical inflection point</p></li></ul><p></p><p>
Finally, we seek candidates who embrace our values and way of working:</p><ul><li><p>
Ability to thrive in uncertainty with frequently changing priorities</p></li><li><p>
Deep alignment with our values</p></li><li><p>
A passion for making an impact on patients</p></li></ul></div><p></p>

Head of Product & Engineering

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