Principal Staff Software Engineer
Member, Technical Staff Job In New York, NY
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
LinkedIn Marketing Solutions (LMS) is the largest and fastest growing scaled B2B Advertising Platform in the world. The LMS engineering team is responsible for building and scaling the technology stack that powers our advertising business including advertiser experiences, ad serving platform and ad products.
AFP-short for Assets, Formats, and Placements-is dedicated to maximizing advertiser outcomes by developing innovative, high-performing marketing products that boost both ad demand and supply. We're now looking for a Principal Staff Engineer to partner with the AFP leader in transforming marketing ads, driving higher ROI, breaking into new verticals, and enhancing personalized member experiences. This role requires a blend of technical vision and thought leadership, with the ability to inspire engineers as they tackle complex, end-to-end challenges. You will partner across the company with the entire Ads ecosystem as well as Media Infra, Flagship and internal customer support tooling.
This is a great opportunity to be part of a diverse, inclusive, and high-velocity team, solving highly technical problems with a large surface area, and ship high-impact features. We are looking for highly motivated and self-driven individuals who are passionate in the areas of distributed systems and scalability, database design and development, experimentation, and API design.
As a Principal Staff Software Engineer on the team, you will solve the following type of problems:
• B2B Vertical Products Platform: B2B events product, growing over 53% YoY in revenue. In a TAM of $10B we are just starting to scratch the surface. Sponsored messaging has surpassed its delivery goals consistently. You will be guiding the team to reimagine a platform that follows “No need to write new code” philosophy, you will guide the team to experiment with tangible outcomes.
• Architecture Evolution: We are quickly approaching a supply constrained environment. Adding more supply will lead to introducing undesirable marketplace dynamics. Identify expensive iterative modeling needs, use plug and play approach to experiment faster for baselining initial performance. Introduce higher level abstractions to simplify architecture as the teams are expanding in building vertical products.
• Robust Creative Platform: Advertisers often struggle to find the right creative for the right audience. We have the opportunity to help our customers by providing innovative content generation mechanisms to produce highly relevant creatives to engage the audience.
Responsibilities:
• You will be the primary domain expert to influence technology choices
• You will drive the adoption of cutting-edge solutions and methods to enable innovative marketing solutions products, like generative AI applications using Prompt engineering, RAG, EBR, fine tuning with LLMs.
• You will build and ship software, drive architectural decisions and implementation across LMS teams.
• You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
• You will lead cross team/cross-functional discussions and drive alignment on product/technology strategy.
• You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.
• You will lead by example to build a culture of craftsmanship and innovation.
Basic Qualifications:
• BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience
• 8+ years of programming experience in Java, C++, C# or similar programming languages
• 8+ years of experience building large-scale distributed systems, applications
Preferred Qualifications:
• MS or PhD in Computer Science or related technical discipline.
• 12+ years of relevant work experience.
• Experience in working with ML/AI in consumer/enterprise facing products
• Experience with strategic planning, executing on a long-term roadmap, team development and scaling processes to support business growth.
• Experience designing and building infrastructure and backend services at internet scale.
• Experience building and shipping high quality work while achieving high reliability.
• Experience utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions.
• Experience leading high-impact cross-org initiatives
Suggested Skills:
• Building large scale backend services
• Technical Leadership
• AI/ML expertise in product development
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $203,000 - $333,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Technical Manager, AI Architect
Member, Technical Staff Job In New York, NY
Haptiq is a leader in delivering digital solutions and consulting services that drive value and transform businesses. We specialize in leveraging technology to improve efficiencies and offer comprehensive solutions tailored to meet the unique needs of our clients across various industries. As well as bringing next-generation technology to private capital markets through the Olympus suite of cloud-based solutions designed to empower private equity, and credit funds as well as the firms in which they invest.
The Opportunity
We are seeking a highly skilled AI Architect to lead the design, development, and deployment of advanced AI and machine learning solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), traditional AI/ML methodologies, and strong Python programming skills. You will collaborate with data scientists, engineers, and product teams to create scalable and innovative AI-powered applications.
Responsibilities
Design and implement AI/ML architectures, including LLM-based and traditional ML models.
Develop and optimize AI solutions for scalability, efficiency, and performance.
Evaluate and integrate emerging AI technologies, tools, and frameworks.
Collaborate with data engineers to build robust data pipelines for model training and inference.
Ensure AI systems align with business objectives and technical requirements.
Drive best practices in AI governance and monitoring.
Optimize AI models.
Stay up-to-date with advancements in AI, LLMs, and ML algorithms.
Provide technical leadership and mentorship to software development teams, guiding them on AI architecture and best practices.
Evangelize AI capabilities across the organization and provide strategic guidance on AI adoption.
Foster a culture of innovation and continuous learning within the AI/ML teams.
Advocate for AI-driven solutions and communicate their value to stakeholders.
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
Proven experience designing and deploying AI/ML solutions in a production environment.
Strong expertise in LLMs (e.g., GPT, BERT, LLAMA) and traditional ML techniques.
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools.
Knowledge of data engineering concepts, SQL, and NoSQL databases.
Strong problem-solving skills and ability to communicate complex AI concepts clearly.
Pluses:
Experience with AI-driven applications such as chatbots, NLP, and computer vision.
Familiarity with vector databases and retrieval-augmented generation (RAG).
Understanding of AI security, privacy, and regulatory considerations.
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
Why Join Us?
We value creative problem solvers who learn fast, work well in an open and diverse environment and enjoy pushing the bar for success ever higher. We do work hard but we also choose to have fun while doing it.
We offer:
Flexible work arrangements (including hybrid mode)
Great Paid Time Off (PTO) policy
Comprehensive benefits package
Opportunities for professional growth and development.
A supportive, dynamic, and inclusive work environment.
Staff Software Engineer
Member, Technical Staff Job In New York, NY
Staff Engineer Opportunity - Hybrid - 2 days/week onsite
Are you passionate about building scalable, cutting-edge backend systems that transform complex data into actionable insights? We're working with a fast-growing, innovative technology company revolutionizing how professionals navigate data-intensive tasks. Due to continued growth, we're confidentially searching for two exceptional engineers, a Staff Engineer and a Sr. Backend Engineer, to help build and evolve powerful software systems that redefine industry standards.
Your Impact: You'll join an ambitious team focused on developing high-performance, distributed backend systems, directly contributing to products that streamline critical workflows and decision-making processes. Your efforts will ensure our systems remain reliable, secure, scalable, and adaptable, driving the success and satisfaction of end-users.
Responsibilities:
Write clean, robust code, actively participate in code reviews, and contribute meaningfully to technical design discussions.
Lead design and development efforts for scalable, high-performance backend solutions.
Continuously enhance and fine-tune system performance to meet growing user demands.
Share your knowledge with peers and junior engineers, fostering a culture of excellence, innovation, and continuous improvement.
Desired Qualifications:
10+ years of backend engineering experience developing high-performance, fault-tolerant services.
Proven experience building robust services utilizing relational and non-relational databases.
Skilled in architecting and operating distributed systems with an emphasis on scalability, observability, and reliability.
Comfortable with various software stacks, cloud-native development, and adaptable to evolving technology environments.
Pluses:
Experience with multi-tenancy architectures.
Knowledge of security best practices.
Proficiency in multiple programming languages, such as Python, Kotlin, or Java.
Familiarity with GraphQL (required for Sr. Backend Engineer, preferred for Staff Engineer).
Technologies:
Cloud Platforms: AWS
Databases & Storage: PostgreSQL, Elasticsearch, DynamoDB, Redis
Frameworks & Languages: Kotlin, Python, gRPC, GraphQL
Container & Orchestration: ECS, Kubernetes
Infrastructure as Code: Terraform
Messaging & Events: Kafka
If you're seeking an exciting opportunity to contribute to groundbreaking technology solutions alongside talented colleagues, we'd love to hear from you.
Staff Software Engineer
Member, Technical Staff Job In New York, NY
Greylock has a history of investing in category-defining security companies in the enterprise(Palo Alto Networks, Okta, Sumo Logic, Imperva, Skyhigh, Demisto, Sqreen, Abnormal Security, Cato Networks, Censys, Cribl, Obsidian, Opal, and Rubrik).
We recently invested in a new cybersecurity startup led by a seasoned team of former engineering and product leaders with decades of experience.
This is a rare opportunity to join an experienced team tackling deeply challenging and novel technical problems-this role blends technical expertise, an entrepreneurial mindset, and adaptability. It's an ideal position for someone aspiring to start their own company in the future but hasn't yet found the right idea. This role offers a front-row seat to shaping the company's technology, culture, and long-term success, providing invaluable insights. Additionally, you'll have the opportunity to play a key role in building their New York office
The ideal candidate has at least 7 years of industry experience, preferably as a full-stack engineer. However, we are equally open to individuals with a spike in front-end or back-end development.
The company's tech stack includes TypeScript, Python, and Go.
Since the company is currently in stealth, additional details will be provided to qualified candidates.
Stage: Seed
Team Size: ~15
Location: New York/San Francisco
About Greylock:
Greylock is an early-stage investor in hundreds of remarkable companies, including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, and Palo Alto Networks. More can be found about us here: *********************
About the Greylock Recruiting Team:
As full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to active and upcoming investments to help them grow/succeed (as one of the many services we provide). Our recruiting team, combined, has over 125 years of in-house recruiting experience at successful startups through FAANG's and over 30 years of VC Talent.
Principal Software Engineer
Member, Technical Staff Job In Stamford, CT
Our client is a leading global investment bank in Stamford, CT. They are seeking a talented Principal Software Systems Engineer to own their 2025 Infrastructure EOL Remediation Program. The program is to mitigate storage and backup infrastructure that has reach end of service life. The key objectives are to upgrade 11 devices with global standards for service and support. Other critical project work includes the Sybase to SQL migration, 3PAR upgrades, NetApp EOL bridges & switches, and system development to automate internal and external batch processing/storage workloads.
This will begin as a 6-12 month contract with the potential for extensions and/or conversion. This will be a hybrid schedule (2-3 days per week onsite).
In order to be successful, you should have specific SME skill sets in areas including Perl scripting, JavaScript, Sybase, SQL, Python, Jenkins, GITLab, AutoSys, databases and software development.
Key Responsibilities:
Engineering new solutions to replace EOL storage and batch processing environments.
Developing complex planning cycles to implement solutions without service outages or impacts to applications.
Implementing and production cutover events. Weekend availability is required.
The ideal candidate would need a collaborative style, with ability to rapidly discover our current networking environment, prioritize specific designs that need upgrade, and work closely with a tenured team to complete strategic priorities.
Previous experience in financial companies with heavy batch processing and storage requirements for both on-prem and cloud is preferred. Automation skills are highly desirable.
Preferred Technology Experience:
Perl, Java, SQL, NetApp, 3PAR, Sybase, CI/CD pipelines, Jenkins, GITLab, virtualization, VMWare, Google Cloud Platform/AWS cloud development for batch processing, event based & real time data analytics, data warehousing, automation certifications in Python, Terraform, Ansible or similar.
ID: 43498
Founding Member of Technical Staff - ML Engineering / Research
Member, Technical Staff Job In New York, NY
GreenFoot Technologies is searching for a "Founding Member of Technical Staff - ML Engineering / Research" for our New York City-based Client. Our Client is an open-source platform that creates a feedback loop for optimizing LLM applications - turning production data into smarter, faster, and cheaper models. $200K - $250K
Integrate their model gateway
Send metrics or feedback
Optimize prompts, models, and inference strategies
Watch your LLMs improve over time
It enables a data & learning flywheel for LLMs by unifying:
Inference: one API for all LLMs, with
Observability: inference & feedback → your database
Optimization: from prompts to fine-tuning and RL (& even 🍓?)
Experimentation: built-in A/B testing, routing, fallbacks
Role
Our client is looking for a Founding Member of Technical Staff with a background in ML engineering or research.
Why not “engineer” or "researcher"? They will not make a distinction between engineers and researchers to encourage people to have cross-functional scope and impact. Our CTO has a PhD in reinforcement learning and writes infrastructure code in Rust.
Today, they need help building delightful interfaces, but expect everyone to contribute to the entire project over time. The vast majority of your work will be open source. You'll have an opportunity to continue to master your current skills with the flexibility to learn new ones from scratch.
They Are Looking For
Strong technical background - You've tackled hard technical problems. You're comfortable driving large projects from inception to deployment.
Background in LLMs or RL - You'll complement the team with a strong background and technical leadership. In particular, they are interested in people with experience at the frontier of either LLMs or reinforcement learning.
Hungry for personal growth - There are no speed limits. You're excited about learning and contributing across the stack.
In-person in NYC - They work in-person five days a week in NYC. They work hard and obsess about the craft - but maintain and encourage a healthy lifestyle with a long-term mindset.
What They Offer
Competitive compensation - They believe great talent deserves excellent compensation (salary, equity, benefits), even at an early-stage startup.
Competitive compensation - They believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup.
Open-source contributions - The vast majority of your work will be open source and public.
Learning and growth opportunities - You'll join with a background in ML but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about Rust?).
Small, technical, in-person team - You'll work alongside a 100% technical team and help shape our vision, culture, and engineering practices.
Best-in-class investors - We're lucky to be backed by leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset.
Member, Technical Staff
Member, Technical Staff Job In New York, NY
h3strongA Different Approach to Building Healthcare Technology/strong/h3p style="min-height:1. 5em"At Midstream, we are building software to solve the hardest problems in healthcare business operations and administration. We're developing a data platform to bring true AI-native data operations to core healthcare business functions, from supply chain to managed care to operations, enabling large health systems to massively reduce the administrative burden and shift resources back to patient care.
/pp style="min-height:1.
5em"We are a seasoned founding team, backed by a16z as well as some of healthcare's most well known angel and strategic investors.
/ph3strongPosition: Member, Technical Staff (Data Platform)/strong/h3p style="min-height:1.
5em"This position is for an early, senior-level data engineer with a sustained history of achievement and a passion for building excellent engineering teams and cultures.
Our ideal candidates are excellent engineers who have built large, performant data systems and have led and mentored other engineers on their team.
/pp style="min-height:1.
5em"This is a hybrid position, and can be based in NYC or the Bay Area.
/ph3strongCore Responsibilities/strong/h3ul style="min-height:1.
5em"lip style="min-height:1.
5em"Lead data architecture and design alongside Midstream's founders, senior engineering staff, and advisors/p/lilip style="min-height:1.
5em"Lead the implementation of our core data processing platform, focusing on scalability, reliability, and performance.
/p/lilip style="min-height:1.
5em"Own the design and build of robust data pipelines, enhancing data storage and warehousing solutions, and optimizing ELT processes for maximum efficiency and effectiveness.
/p/lilip style="min-height:1.
5em"Drive ML model deployment infrastructure capabilities, guiding the team on best practices and emerging technologies.
/p/lilip style="min-height:1.
5em"Spearhead code quality initiatives by conducting in-depth code reviews, implementing advanced testing frameworks, and setting coding standards.
/p/lilip style="min-height:1.
5em"Facilitate technical discussions and decision-making processes, serving as a mentor for junior engineers and helping to elevate the team's skill sets.
/p/lilip style="min-height:1.
5em"Act as a primary technical liaison between engineering, product, and business teams, ensuring that solutions are aligned with business objectives.
/p/lilip style="min-height:1.
5em"Help to build the engineering team: Hire, mentor and lead junior engineering team members/p/li/ulh3strongSkills and Qualifications/strong/h3p style="min-height:1.
5em"We value experience that demonstrates:/pul style="min-height:1.
5em"lip style="min-height:1.
5em"Extensive background in data engineering, with a focus on system design and architecture in data-centric and machine learning environments.
Includes expertise in data modeling, warehousing, and processing systems such as Spark.
/p/lilip style="min-height:1.
5em"Experienced in developing and managing reliable, scalable data infrastructure, with a strong emphasis on automation, data pipeline optimization, incident handling, and proactive monitoring.
/p/lilip style="min-height:1.
5em"Have worked with Kubernetes and have a strong background with infrastructure tooling such as Terraform.
/p/lilip style="min-height:1.
5em"Strong understanding of best practices for integrating machine learning techniques into data ecosystems and developing pipelines for ML models.
/p/lilip style="min-height:1.
5em"Experience building ELT to integrate data from diverse enterprise application systems (ERP, EMR, etc.
), with a strong command of ELT processes.
/p/lilip style="min-height:1.
5em"Skilled in data visualization and reporting, capable of delivering actionable insights from complex datasets.
/p/lilip style="min-height:1.
5em"Excellent leadership skills demonstrated by a track record of mentoring junior engineers and effectively collaborating with cross-functional teams.
/p/li/ulp style="min-height:1.
5em"strong We require:/strong/pul style="min-height:1.
5em"lip style="min-height:1.
5em"A bachelor's or master's degree in Computer Science, Engineering, or a related field.
/p/lilip style="min-height:1.
5em"A minimum of 7 years of relevant experience in software engineering.
/p/lilip style="min-height:1.
5em"Expertise in multiple high-level programming languages (e.
g.
, Python, Java, C#), as well as familiarity with cloud data amp; computing platforms and containerization technologies.
/p/lilip style="min-height:1.
5em"Experience with data warehousing (Snowflake, etc…) and data processing technologies/p/li/ulh3strongBeing at Midstream:/strong/h3ul style="min-height:1.
5em"lip style="min-height:1.
5em"A chance to contribute from the ground floor to an AI-native platform that is set to revolutionize healthcare operations and data integration.
Your work will directly impact the efficiency and effectiveness of large healthcare organizations.
/p/lilip style="min-height:1.
5em"Collaborate with a diverse, world-class team that is deeply committed to solving some of healthcare's most challenging problems.
/p/lilip style="min-height:1.
5em"Take ownership of your projects and initiatives, enjoying a high level of autonomy that allows you to make a significant impact on the growth and direction of Midstream.
/p/lilip style="min-height:1.
5em"Competitive compensation package that includes salary and equity options, as well as comprehensive benefits such as health, dental, and vision coverage, unlimited PTO, and a 401(k) plan.
/p/li/ulh3strongTotal Compensation /strong/h3p style="min-height:1.
5em"The estimated salary range for this position is estimated to be $160K - $220K per year, along with meaningful equity in an early stage company.
We provide full benefits (Health, Dental Vision, etc.
.
.
) and an opportunity to participate in the yearly bonus structure.
/pp style="min-height:1.
5em"Midstream is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
/p
Member of Technical Staff, Model Evaluation
Member, Technical Staff Job In New York, NY
Captions is the leading video AI company, building the future of video creation. Over 10 million creators and businesses have used Captions to create videos for social media, marketing, sales, and more. We're on a mission to serve the next billion.
We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. You'll join an early team and have an outsized impact on the product and the company's culture.
We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures (Series C lead), Kleiner Perkins (Series B lead), Sequoia Capital (Series A and Seed co-lead), Andreessen Horowitz (Series A and Seed co-lead), Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
Check out our latest financing milestone and some other coverage:
The Information: 50 Most Promising Startups
Fast Company: Next Big Things in Tech
The New York Times: When A.I. Bridged a Language Gap, They Fell in Love
Business Insider: 34 most promising AI startups
Time: The Best Inventions of 2024
** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
We do not work with third-party recruiting agencies, please do not contact us**
About the role:
Captions is seeking an exceptional Research Engineer (MOTS) to advance the state-of-the-art in large-scale multimodal video diffusion models. You'll conduct novel research on generative modeling architectures, develop new training techniques, and scale models to billions of parameters. As a key member of our ML Research team, you'll work at the cutting edge of multimodal generation while building systems that enable natural, controllable video creation. We're already training large-scale models with demonstrated product impact, and we're excited to continue expanding the scope and capabilities of our research.
We're especially excited about pushing the boundaries of audio-video generation, with a focus on realistic and charismatic human behavior that enables natural storytelling and creative iteration. Our models power creative tools used by millions of creators, and we're tackling fundamental challenges in how to generate compelling human motion, expression, and speech.
Key Responsibilities:
Research & Architecture Development:
Design and implement novel architectures for large-scale video and multimodal diffusion models
Develop new approaches to multimodal fusion, temporal modeling, and video control
Research temporal video editing techniques and controllable generation
Research and validate scaling laws for video generation models
Create new loss functions and training objectives for improved generation quality
Drive rapid experimentation with model architectures and training strategies
Validate research directly through product deployment and user feedback
Model Training & Optimization:
Train and optimize models at massive scale (10s-100s of billions of parameters)
Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron-LM
Design and implement model surgery techniques (pruning, distillation, quantization)
Create new approaches to memory optimization and training efficiency
Research techniques for improving training stability at scale
Conduct systematic empirical studies of architecture and optimization choices
Technical Innovation:
Advance state-of-the-art in video model architecture design and optimization
Develop new approaches to temporal modeling for video generation
Create novel solutions for multimodal learning and cross-modal alignment
Research and implement new optimization techniques for generative modeling and sampling
Design and validate new evaluation metrics for generation quality
Systematically analyze and improve model behavior across different regimes
Requirements:
Research Experience:
Master's or PhD in Computer Science, Machine Learning, or related field
Track record of research contributions at top ML conferences (NeurIPS, ICML, ICLR)
Demonstrated experience implementing and improving upon state-of-the-art architectures
Deep expertise in generative modeling approaches (diffusion, autoregressive, VAEs, etc.)
Strong background in optimization techniques and loss function design
Experience with empirical scaling studies and systematic architecture research
Technical Expertise:
Strong proficiency in modern deep learning tooling (PyTorch, CUDA, Triton, FSDP, etc.)
Experience training diffusion models with 10B+ parameters
Experience with very large language models (200B+ parameters) is a plus
Deep understanding of attention, transformers, and modern multimodal architectures
Expertise in distributed training systems and model parallelism
Proven ability to implement and improve complex model architectures
Track record of systematic empirical research and rigorous evaluation
Engineering Capabilities:
Ability to write clean, modular research code that scales
Strong software engineering practices including testing and code review
Experience with rapid prototyping and experimental design
Strong analytical skills for debugging model behavior and training dynamics
Facility with profiling and optimization tools
Track record of bringing research ideas to production
Experience maintaining high code quality in a research environment
About the Team:
You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where technical innovation and research excellence are highly valued - your success will be measured by your contributions to improving our models and advancing the field, not by your ability to navigate politics. We're a team that loves diving deep into complex technical problems and emerging with practical breakthroughs.
Our team values:
Open technical discussions and collaboration.
Rapid iteration and practical solutions.
Deep technical expertise and continuous learning.
Direct impact on research and product outcomes.
What sets us apart:
Opportunity to advance the state-of-the-art in video generation.
Direct impact on products used by millions of creators.
Access to massive compute resources and diverse, large-scale datasets.
Environment that values both research excellence and practical impact.
Ability to validate research through direct product feedback.
Benefits:
Comprehensive medical, dental, and vision plans
401K with employer match
Commuter Benefits
Catered lunch multiple days per week
Dinner stipend every night if you're working late and want a bite!
Doordash DashPass subscription
Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)
Multiple team offsites per year with team events every month
Generous PTO policy
Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please note benefits apply to full time employees only.
Member of Technical Staff - Python SDK
Member, Technical Staff Job In New York, NY
About Us:
Modal is building the serverless compute platform to support the next generation of AI companies. In order to deliver the developer experience we wanted, we went deep and built our own infrastructure-including our own custom file system, container runtime, scheduler, container image builder, and much more.
We're a small team based out of New York, Stockholm and San Francisco. In just one year, we've reached 8-figure revenue, tripled our headcount, scaled to support thousands of GPUs, and raised over $32M in funding.
Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
The Role:
We're looking for strong engineers with experience building developer tools that users love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful interfaces that enhance developer productivity.
Requirements:
5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software.
Knowledge of advanced Python features, especially async programming.
A strong product sense that manifests as a focus on developer ergonomics and productivity.
A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems.
Ability to work in-person in our NYC or Stockholm office.
Any of the following would be a plus:
Familiarity with modern data / ML / AI tools and workflows
Experience with Typescript, Go, or Rust
Member of Technical Staff - ML Engineering
Member, Technical Staff Job In New York, NY
We're assisting a well-funded startup with their search for a Member of Technical Staff - ML Engineering & Research. Their product is an open-source platform that creates a feedback loop for optimizing LLM applications - turning production data into smarter, faster, and cheaper models. This role will work onsite in their NY office. The role:
The vast majority of your work will be open source. You'll have an opportunity to continue to master your current skills with the flexibility to learn new ones from scratch.
If you joined today, you'd likely work on advanced inference strategies (e.g. MCTS) or new optimization recipes (e.g. different sorts of RL and APE).
What you'll bring:
Strong technical background - You've tackled hard technical problems. You're comfortable driving large projects from inception to deployment.
Background in LLMs or RL - You'll complement the team with a strong background and technical leadership. In particular, they're interested in people who have experience at the frontier of either LLMs or reinforcement learning.
Hungry for personal growth - There are no speed limits. You're excited about learning and contributing across the stack.
In-person in NYC - They work in-person five days a week in NYC. They work hard and obsess about the craft - but maintain and encourage a healthy lifestyle with a long-term mindset.
Member of Technical Staff - Agent Management
Member, Technical Staff Job In New York, NY
About Basis
Basis equips accountants with a team of AI agents to take on real workflows.
We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.
Built in New York City. Read more about Basis here.
Why join
World class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive list
Extremely fast growth: We've partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 months
Be part of building a company: We're scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1
In person & interdisciplinary: We operate on the frontier of what's technically possible. That is why being in-person is a must. We're bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systems
High risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begun
Compensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too
📍 Location: NYC, Flatiron office. In-person team.
About the role
Natural language is the new code. You will be responsible for architecting the system that underpins the prompts we use to program LMs.
You will work closely with our research team to determine ideal prompt structures, iterate on tools to automatically improve context & instructions, and build internal evaluation systems to constantly monitor performance. Your systems will directly power our agents to complete complex accounting workflows, and the tooling you build will allow us to tackle ever-increasing complexity. If building the core language of our AI agents excites you, apply to join us.
An engineering background is a plus, but not required. We look for exceptional reasoners, strong writers, and systematic thinkers. Experience with LLMs, or an interest in information theory is a requirement.
Read more about agent management here
What we look for
Strong logical reasoner: Able to break complex concepts down to their fundamental elements and reason from there
Facility with language: Clear and precise written communicator
Interdisciplinary
:
Willing and interested to jump across multiple disciplines
Company-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scale
Passionate: Genuinely excited about our tech and its impact on accounting, finance, and economy
Curious: Loves to play with new ideas/tech
Office lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYC
All-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generously
In accordance with New York State regulations, the salary range for this position is $100,000-$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.
Member of Technical Staff - Infrastructure
Member, Technical Staff Job In New York, NY
Anterior is on a mission to transform healthcare administration, making it seamless and invisible so clinicians can focus on delivering care. We've built an AI-powered platform designed by clinicians, for clinicians, to simplify administrative workflows and improve patient outcomes. By combining clinical expertise with cutting-edge technology, we're revolutionizing healthcare operations with responsible AI.
We're growing rapidly and are backed by world-class investors including Sequoia, New Enterprise Associates (NEA), and Neo along with notable angels including the founders of DeepMind, Google AI, and Inflection AI. You can learn more about us here.
The Team:
At Anterior, engineers share a strong "sense of product" and solve meaningful problems that simplify healthcare workflows. We collaborate in multidisciplinary teams to deliver secure, scalable, and user-focused solutions guided by best practices and modular design.
We value diverse experiences and skill sets, continually expanding our team to tackle modern healthcare's challenges with creativity and precision.
The Role:
As a Member of Technical Staff on our Infrastructure team at Anterior, you will take ownership of complex technical challenges, delivering impactful solutions that align with our mission. You'll work closely with a multidisciplinary team to shape scalable infrastructure, craft robust backend systems, and co-create transformative tools for clinicians.
Responsibilities:
Lead the design, implementation and maintenance of critical infrastructure
underlying Anterior's services.
Collaborate with product, platform and security engineers to build and manage infrastructure for high-throughput systems with significant user bases.
Leverage expertise in multi-cloud environments, including Azure, AWS, and on-premises architectures.
Apply Infrastructure as Code (IaC) principles using tools like Terraform, Docker, and CI/CD pipelines.
Ensure software quality through best practices, including modular code, testing, and secure design.
Mentor junior engineers and contribute to a culture of growth and innovation.
About You:
Empathy for users: You prioritize end-user feedback, collaborating with Product Managers to deliver intuitive solutions.
Proven expertise: You've built and maintained infrastructure for large-scale projects with substantial revenue or user impact.
Scalability focus: You understand the dimensions of scale and have experience with scalable backend systems and message queues.
Cloud-native mindset: Expertise in multi-cloud environments and tools like Terraform and Docker.
Startup ready: You thrive in self-directed, adaptable environments like early-stage startups or greenfield projects.
Team player: You've led multidisciplinary teams using agile methodologies and fostered a collaborative, innovative culture.
Bonus skills: Experience with data pipelines, enterprise integrations, or AWS/Azure Marketplace offerings is a plus.
Benefits:
📈 Early-Stage Equity
💰 Competitive, top-of-market salary
🫄 100% covered health, dental, and vision insurance
🍲 Catered lunches and a stocked kitchen
🚍 Commuter benefits
💻 Company Laptop along w/ tools you need to succeed
🧠 Learning & development budget
🎤 Team-building events
🌴 Flexible PTO
Hiring Process:
Review: Submit resume
Initial Screen (30 min): A call with one of our team members to talk through your current/past experience, your motivations and tell you more about Anterior
Technical Screen (45 min): Paired programming session to gain a baseline of your technical ability.
Final Round
In-person technical interview (2x 45 min): You'll be given a task to complete in person with two of our engineers to showcase your technical skills
Culture Interview (30 min): You'll have the opportunity to converse with members of the Anterior team, and help evaluate if you're someone we'd like to welcome aboard and if you also perceive us as a team you'd like to be part of
Founder Interview & References
Offer
Founding Member of Technical Staff - Back-end / Systems Engineering
Member, Technical Staff Job In New York, NY
p style="min-height:1. 5em"strong TensorZero is an /stronga class="inline-block" href="*************** com/tensorzero/tensorzero" rel="noopener noreferrer nofollow" target="_blank"strongopen-source/strong/astrong platform that creates a feedback loop for optimizing LLM applications - turning production data into smarter, faster, and cheaper models.
/strong/pp style="min-height:1.
5em"/pol style="min-height:1.
5em"lip style="min-height:1.
5em"Integrate our model gateway/p/lilip style="min-height:1.
5em"Send metrics or feedback/p/lilip style="min-height:1.
5em"Optimize prompts, models, and inference strategies/p/lilip style="min-height:1.
5em"Watch your LLMs improve over time/p/li/olp style="min-height:1.
5em"/pp style="min-height:1.
5em"It enables a strongdata amp; learning flywheel for LLMs/strong by unifying:/pp style="min-height:1.
5em"/pul style="min-height:1.
5em"lip style="min-height:1.
5em"strong Inference:/strong one API for all LLMs, with lt;1ms P99 overhead/p/lilip style="min-height:1.
5em"strong Observability:/strong inference amp; feedback → your database/p/lilip style="min-height:1.
5em"strong Optimization:/strong from prompts to fine-tuning and RL/p/lilip style="min-height:1.
5em"strong Evaluations:/strong compare prompts, models, inference strategies/p/lilip style="min-height:1.
5em"strong Experimentation:/strong built-in A/B testing, routing, fallbacks/p/li/ulp style="min-height:1.
5em"/pp style="min-height:1.
5em"We've strongraised from FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels/strong.
We're lucky to have strongyears of runway/strong, giving us the flexibility to fully focus on open source for now with an ambitious long-term vision.
/pp style="min-height:1.
5em"/ph1strongRole/strong/h1p style="min-height:1.
5em"/pp style="min-height:1.
5em"We are looking for a Founding Member of Technical Staff with a background in systems engineering (esp.
Rust).
The vast majority of your work will be open source.
You'll have an opportunity to continue to master your current skills with the flexibility to learn new ones from scratch.
/pp style="min-height:1.
5em"/pp style="min-height:1.
5em"Our model gateway, written in Rust, is the backbone of the project.
As a preview, if you joined today, you'd work on features ranging from inference-time optimizations (e.
g.
dynamic in-context learning) to advanced experimentation ("built-in Statsig").
You can learn more about our technical roadmap and vision a href="************
tensorzero.
com/docs/vision-roadmap" rel="noopener noreferrer nofollow" target="_blank"here/a.
/pp style="min-height:1.
5em"/ph1strongTeam amp; Culture/strong/h1p style="min-height:1.
5em"/pp style="min-height:1.
5em"We're a small technical teamstrong based in NYC (in person)/strong.
As an early contributor, you'll work closely with us and have a significant impact on the project's future and vision.
/pp style="min-height:1.
5em"/pul style="min-height:1.
5em"lip style="min-height:1.
5em"strong Viraj Mehta (CTO)/strong recently completed his PhD from Carnegie Mellon, with an emphasis on reinforcement learning for LLMs and nuclear fusion, and previously worked in machine learning at KKR and a fintech startup; he holds a BS in math and an MS in computer science from Stanford.
/p/lilip style="min-height:1.
5em"strong Gabriel Bianconi (CEO) /strongwas the chief product officer at Ondo Finance ($10B+ valuation) and previously spent years consulting on machine learning for companies ranging from early-stage tech startups to some of the largest financial firms; he holds BS and MS degrees in computer science from Stanford.
/p/lilip style="min-height:1.
5em"strong Andrew Jesson (MTS) /strongis an ML researcher with deep expertise in Bayesian ML, causal inference, RL, and LLMs.
He's finishing his post-doc at Columbia and previously received a PhD from Oxford, during which he interned at FAIR.
He has 3.
3k+ citations and several first-author papers at NeurIPS and other top ML venues.
/p/lilip style="min-height:1.
5em"strong Aaron Hill/strong strong(MTS) /strongis a back-end engineer with deep expertise in Rust.
He became one of the maintainers of the Rust compiler team… while still in college.
Later, he worked on back-end infrastructure at AWS and Svix.
He's also an active contributor to many notable open-source Rust projects (e.
g.
Ruffle).
/p/lilip style="min-height:1.
5em"strong_____ You?/strong/p/li/ulp style="min-height:1.
5em"/ph1strongWhat We Offer/strong/h1p style="min-height:1.
5em"/pul style="min-height:1.
5em"lip style="min-height:1.
5em"strong Competitive compensation/strong - We believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup.
/p/lilip style="min-height:1.
5em"strong Open-source contributions/strong - The vast majority of your work will be open-source and public.
/p/lilip style="min-height:1.
5em"strong Learning and growth opportunities/strong - You'll join with a background in back-end / systems but will have the opportunity (amp; be encouraged) to expand your skill set way beyond that (curious about ML?).
/p/lilip style="min-height:1.
5em"strong Small, technical, in-person team/strong - You'll work alongside a 100% technical team and help shape our vision, culture, and engineering practices.
/p/lilip style="min-height:1.
5em"strong Best-in-class investors/strong - We're lucky to be backed by leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels.
We have years of runway and a long-term mindset.
/p/li/ulp style="min-height:1.
5em"/ph1strongWe're Looking For/strong/h1p style="min-height:1.
5em"/pul style="min-height:1.
5em"lip style="min-height:1.
5em"strong Strong technical background/strong - You've tackled hard technical problems.
You're comfortable driving large projects from inception to deployment.
/p/lilip style="min-height:1.
5em"strong Background in back-end / systems SWE/strong - You'll complement the team with a strong background and technical leadership (esp.
Rust).
/p/lilip style="min-height:1.
5em"strong Hungry for personal growth/strong - There are no speed limits at TensorZero.
You're excited about learning and contributing across the stack.
/p/lilip style="min-height:1.
5em"strong In-person in NYC/strong - We work in-person five days a week in NYC.
We work hard and obsess about the craft - but maintain and encourage a healthy lifestyle with a long-term mindset.
/p/li/ulp style="min-height:1.
5em"/pp style="min-height:1.
5em"You can find us on Github: a href="***************
com/tensorzero/tensorzero" rel="noopener noreferrer nofollow" target="_blank"***************
com/tensorzero/tensorzero/a/p
Member of Technical Staff - Data Engineer
Member, Technical Staff Job In New York, NY
Overview: As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad - to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It's also inclusive: we aim to make AI accessible to all - consumers, businesses, developers - so that everyone can realize its benefits.
Microsoft AI (MS AI) is seeking an experienced Data Engineer to help architect, design and implement a highly scalable and optimized data platform for processing 50TB/day of data from AI systems. We're looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in data platform and pipeline technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class data platforms that are scalable, maintainable and kept up to date with current tech stacks and design patterns.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
By applying to this U.S. New York, New York position, you are required to be local to the New York area and in office 3 days a week.
Responsibilities:
Thought leader and owner of the architecture blueprint of data platform
Superior coding skills in SPARK using Scala, Python and Java
Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform services and capabilities.
Ship high-quality, well-tested, secure, and maintainable code.
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
Enjoy working in a fast-paced, design-driven, product development cycle.
Embody our Culture and Values.
Qualifications: Required Qualifications:
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8 years experience in software development, data modeling or data engineering work
OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6 year(s) experience in software development, or data engineering work
OR equivalent experience.
5 years of hands experience in building from ground up large scale data processing platforms with more than 100 data pipelines. Use of Apache Hadoop eco system, Kafka Stream/Flink, columnar databases, vector databases, semantic search technologies, RDBMS databases, key value stores, etc.
5 years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.
2 years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
Preferred Qualifications:
10 years technical engineering experience building data platforms that handle large volumes of data in both batch and real time. Coding in languages including, but not limited to, Python, C#, Java, Spark, SQL
Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Data Engineering IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $209,600 - $314,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#copilot #microsoftai
CLICK HERE TO APPLY
Member of Technical Staff (Frontend)
Member, Technical Staff Job In New York, NY
We're hiring a Member of Technical Staff (Frontend) at Gitpod.
You'll build refined interactions and systems that make software development seamless. Working with React, Figma, and Go, you'll solve significant problems for global engineering teams. We're looking for highly ambitious and deeply passionate engineers who combine technical excellence with architectural taste, taking ownership of foundational systems to deliver pragmatic, performant and maintainable results. We deeply care about the product we build and are excited to add someone tot the team that feels the same.
Who we are
Five years ago, we set out to create a world where every software engineer is instantly ready-to-code. With over 1.5 million users, we are now the leading platform for standardized and automated development environments. In 2024, we quadrupled enterprise revenue, signed several seven-figure contracts with F500 companies, launched our AI-first product architecture and, most importantly, discovered our authentic rhythm. In 2025, we amp up our ambition.
We're a talent-dense group of people who transform how software is created, working to empower every company, every team, and every individual to succeed in a software-first world. We care deeply, and for many of us, building Gitpod is our life's work.
This is the best time to join the company. We've found product-market-fit and are scaling with high intensity towards repeatable go-to-market fit. Our operating principles are an honest representation of how we build relationships and make decisions. We choose colleagues carefully based on merit and their authentic alignment with those principles. If this excites you, we would love for you to apply.
Role responsibilities
Our operating principles are the standard that we drive towards. We are collectively accountable for enhancing and preserving our culture in alignment with these principles and expect people to view this as a core responsibility within the scope of their role.
In addition, here are the main areas of focus:
Drive technical initiatives end-to-end. Balance immediate needs with long-term sustainability while maintaining high standards for reliability and simplicity.
Craft pixel-perfect components and refined interactions. Collaborate with product design to deliver impactful features that consider every facet of the user experience.
Own core Gitpod systems. Ensure reliability and continuous evolution of your focus area, whether frontend, backend, or infrastructure.
Elevate engineering best practices. Contribute to code reviews, architecture discussions, and documentation to raise overall quality and consistency
Solve high-impact technical challenges. Identify and address performance bottlenecks, reliability issues, and developer experience improvements across the stack.
At the end of your first 30 days, you will have:
Ship code on day one using Gitpod to build Gitpod
Built deep understanding of Gitpod's core value proposition and architecture through hands-on contribution, user interviews, and key system analysis. Able to articulate main technical and business challenges.
Shipped multiple meaningful improvements across the stack, demonstrating ability to navigate our codebase, deployment processes, and engineering principles effectively
Established strong working relationships within your direct team and adjacent teams (e.g. Go-to-Market, Sales) through collaborative problem-solving and technical discussions. Started contributing to architecture and design discussions.
Shipped a feature that lands on our changelog and is demoed in All Hands
Opened the drawer and challenged the CTO on a design idea
About you
You work in alignment with our operating principles.
You drive pragmatic engineering excellence. You have strong technical judgment that helps you identify the right level of investment for each situation - knowing when to build for scale and when to optimize for speed. You consistently deliver high-quality solutions while remaining pragmatic about trade-offs. Most importantly, you're a generalist who can contribute effectively across our stack while bringing deep expertise in your chosen focus area.
You build high-impact systems. When building systems, you start by deeply understanding the problem space, the designing a solution. You have a track record of delivering outcomes that not only work well technically, but drive meaningful value for users and the business. You think holistically about the entire product experience including performance, documentation, user workflows, and operational concerns.
You lead through execution. You drive results through a combination of technical expertise, clear communication, and strong execution. You're comfortable taking ownership of complex problems and leading them through to completion, bringing others along through influence rather than authority. You have a proven track record of delivering significant technical initiatives while helping raise the bar for the entire engineering organization.
Additionally, we're looking for someone with most of the following:
Track record of shipping and owning production systems at scale
Experience working across the stack effectively
Evidence of pragmatic technical decision-making and leadership
Fast learner with demonstrated ability to pick up new technologies
Design Engineering:
Strong visual and UX design sensibilities
Deep React/TypeScript experience
Track record of building polished, non-simplistic web applications
We use these tools and expect you to have familiarity with most of them:
Notion, Slack
Excel, Google Sheets
Claude, ChatGPT
GitHub, VS Code, Cursor
Observability: Grafana, Prometheus
CI/CD practices
API design (REST, gRPC)
Design Engineering:
Figma
TypeScript, React, Tailwind CSS
Strong knowledge of browser APIs and performance
Git, VS Code extension development (helpful)
Some backend exposure (Go, gRPC, PostgreSQL helpful)
Benefits
Remote-first, flexible work day
Flexible paid time off including holidays that are most meaningful to you
Parental leave for all parents
Employee-friendly equity terms (extended exercise)
Health insurance (country-specific)
Retirement (country-specific)
Wellness allowance
Premium work-from-home equipment
Regular company off-sites
Interview process
We are remote-first and so is our hiring process. Contingent on schedules, we aim to complete the entire process in about 2 weeks. We are conscious of your time and are committed to being as efficient as possible.
We'll kick the process off with an intro call to see if there is mutual interest in moving forward.
Next, you'll complete a series of interviews designed to thoroughly evaluate our mutual compatibility.
CTO
Head of People
Peer chat
Project and panel presentation
CEO
References and background check - Before moving to an offer, we'll set up video calls with 3 direct managers and/or senior leaders that can speak to your performance. Additionally, we will run a full background check (location dependent).
Member of Technical Staff, MLE
Member, Technical Staff Job In New York, NY
Who are we?
Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
As a Member of Technical Staff on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
You'll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You'll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
In this role, you will:
Own and build large new areas within our product.
Work across backend, frontend, and customize Large Language Models.
Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
Work across the entire product lifecycle from conceptualization through production.
This career opportunity may be a good match for you if you have:
3+ years of model training, deployment, and maintenance in a production environment.
Strong skills in NLP and deep learning.
Experience scaling products at hyper-growth startup.
Strong written and verbal communication skills.
Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
Nice to have skills/experiences:
Experience improving LLM performance for custom domains via fine tuning or RLHF.
Experience in Information Retrieval systems for document question answering.
Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
Published research in areas of machine learning at major conferences and/or journals.
If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑 💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
✈️ 6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.
Sr. Staff Software Engineer, Ads
Member, Technical Staff Job In New York, NY
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
LinkedIn Marketing Solutions (LMS) is a leader in B2B digital advertising, helping companies deliver the right message, to the right audience, on a safe and trusted platform. Through our suite of innovative advertising solutions, we provide customers high reach and ROI.
We're looking for a visionary Sr. Staff Engineer to join our Post-Click Outcomes team, where you'll help drive revenue, help accelerate Partner integrations and optimize Ad supply and Lead Generation. In this pivotal role, you'll collaborate with senior engineering and product leads across the organization to set the bold technical direction and inspire your team to tackle complex challenges.
Responsibilities:
• You will set direction to platforms that power multiple teams and products
• You will deliver impact by driving innovation while building and shipping software at scale
• You will provide architectural guidance and mentorship to up-level the engineering organization
• You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7
• You will execute on product and technical workstreams by collaborating with engineering, product managers, designers, other software development teams, and business partners
• You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies
• You will design products/services/tools and code that can be used by others while upholding operational impact of all decisions
• You will identify problems and opportunities and lead teams to architect, design, implement and operationalize systems
• You will work closely with and influence product and/or technology partners regularly to help define a long-term technology roadmap
• You will resolve conflicts between teams within the organization to get alignment and build team culture
• You will create a collaborative work environment that fosters autonomy, transparency, innovation, and learning
• You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship
• You will work with peers across teams to support and leverage a shared technical stack
• You will review others' work and share knowledge
Basic Qualifications:
• BS/BA in Computer Science or related technical field or equivalent technical experience
• 5+ years of industry experience in software design, development, and algorithm related solutions
• 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala
• 2+ years of experience as an architect, or technical leadership position
Preferred Qualifications:
• MS or PhD in Computer Science or related technical discipline
• 10+ years' experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
• 5+ years' experience with large-scale distributed systems and client-server architectures
• 10+ years programming experience in an object-oriented programming language such as Java, C/C++
• Experience with large-scale distributed systems and client-server architectures
• Experience leading by influence, formulating and driving technical strategies across various organizations
• Experience leading a large organization
• Experience with B2B advertising
• Background working on revenue generating product engineering and an understanding of marketing customer lifecycle
• Experience in the design and development of performant, highly available, scalable web applications
• Relevant experience working with engineers across multiple skill sets (e.g. Application/Backend, UI/Frontend, iOS/Android/Mobile)
• Understanding of common performance patterns and anti-patterns in distributed systems
• Active involvement in the creation and execution of technical strategies and roadmaps
Suggested Skills:
• Technical Leadership
• Architectural Mastery
• Code Review
• Cross-organizational Collaboration
• Online Advertising
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $175,000 - $288,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
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We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
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-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
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This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Founding Member of Technical Staff - Back-end / Systems Engineering
Member, Technical Staff Job In New York, NY
GreenFoot Technologies is searching for a Founding Member of Technical Staff - Back-end / Systems Engineering for our New York City based Client. Our Client is an open-source platform that creates a feedback loop for optimizing LLM applications - turning production data into smarter, faster, and cheaper models. $200K - $250K
Integrate their model gateway
Send metrics or feedback
Optimize prompts, models, and inference strategies
Watch your LLMs improve over time
It enables a data & learning flywheel for LLMs by unifying:
Inference: one API for all LLMs, with
Observability: inference & feedback → your database
Optimization: from prompts to fine-tuning and RL (& even 🍓?)
Experimentation: built-in A/B testing, routing, fallbacks
Role
Our client is looking for a Founding Member of Technical Staff with a background in systems engineering (esp. Rust).
Why not “engineer”? They are not going to make a distinction between engineers and researchers to encourage people to have cross-functional scope and impact. Their CTO has a PhD in reinforcement learning but also writes infrastructure code in Rust.
Their model gateway, written in Rust, is the backbone of the project. As a preview, if you joined today, you'd work on features ranging from inference-time optimizations (e.g. dynamic in-context learning) to advanced experimentation ("built-in Statsig").
They Are Looking For
Strong technical background - You've tackled hard technical problems. You're comfortable driving large projects from inception to deployment.
Background in back-end / systems SWE - You'll complement the team with a strong background and technical leadership (esp. Rust).
Hungry for personal growth - There are no speed limits. You're excited about learning and contributing across the stack.
In-person in NYC - They work in-person five days a week in NYC. They work hard and obsess about the craft - but maintain and encourage a healthy lifestyle with a long-term mindset.
What They Offer
Competitive compensation - We believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup.
Open-source contributions - The vast majority of your work will be open-source and public.
Learning and growth opportunities - You'll join with a background in back-end / systems but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about ML?).
Small, technical, in-person team - You'll work alongside a 100% technical team and help shape our vision, culture, and engineering practices.
Best-in-class investors - They are lucky to be backed by leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset.
Member of Technical Staff - Evals
Member, Technical Staff Job In New York, NY
About Basis
Basis equips accountants with a team of AI agents to take on real workflows.
We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.
Built in New York City. Read more about Basis here.
Why join
World class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive list
Extremely fast growth: We've partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 months
Be part of building a company: We're scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1
In person & interdisciplinary: We operate on the frontier of what's technically possible. That is why being in-person is a must. We're bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systems
High risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begun
Compensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too
📍 Location: NYC, Flatiron office. In-person team.
About the role
AI systems require data in order to be monitored and evaluated and to be improved. The more agentic the system, the more sophisticated the system required to guarantee performance and continuously improve.
You will own these systems. You will own data and evaluations across the platform, including overseeing data labeling strategy, synthetic data generation, experiment generation, etc.
You will work closely with our research team to measure performance and with engineering to build out automated systems.
Your systems will directly power our agents to complete complex accounting workflows, and the systems you build will allow us to tackle ever-increasing complexity. If building the fueling system for our AI agents excites you, apply to join us.
We look for strong ability to manipulate data and run experiments, along with exceptional ability to understand business context, own projects, and communicate across disciplines. Experience with ML is a plus. PM experience is a plus, but not required by any means.
What we look for
Experienced: 5-10 years of data-heavy workflows (e.g., data science), experiment design, and managing projects; open to exceptional candidates with fewer years and evidence of exceptional ability
Business context: Quickly pick up context of business use case and can hold this context in mind as working through system
Project owner: Own projects from start to finish, including managing many dependencies
Clear communicator: Precise and thoughtful communicator who can break complex concepts down to their fundamental elements
Systems-thinker: See how all the pieces fit together and develop abstractions to scale
Interdisciplinary
:
Willing and interested to jump across multiple disciplines
Company-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scale
Passionate: Genuinely excited about our tech and its impact on accounting, finance, and economy
Curious: Love to play with new ideas/tech
Office lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYC
All-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generously
In accordance with New York State regulations, the salary range for this position is $100,000-$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.
Member of Technical Staff, MLE
Member, Technical Staff Job In New York, NY
Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
As a Member of Technical Staff on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
You'll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You'll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
In this role, you will:
* Own and build large new areas within our product.
* Work across backend, frontend, and customize Large Language Models.
* Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
* Work across the entire product lifecycle from conceptualization through production.
This career opportunity may be a good match for you if you have:
* 3+ years of model training, deployment, and maintenance in a production environment.
* Strong skills in NLP and deep learning.
* Experience scaling products at hyper-growth startup.
* Strong written and verbal communication skills.
* Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
Nice to have skills/experiences:
* Experience improving LLM performance for custom domains via fine tuning or RLHF.
* Experience in Information Retrieval systems for document question answering.
* Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
* Published research in areas of machine learning at major conferences and/or journals.
If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
️ 6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.