Location: Canada; Toronto
Workplace: OnSite
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia and the government. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
Key Responsibilities:
- Design, build and scale agentic AI systems for serving mission critical use cases.
- Research, implement, and experiment with ideas on our supercompute and data infrastructure.
- Learn from and work with the best researchers in the field.
- Execute across the full AI stack and ship products to serve public interest.
Qualifications:
- Canadian citizenship and eligibility for security clearance (required for this role).
- Extremely strong software engineering skills.
- Proficiency in Python and related ML frameworks.
- Experience training, evaluating, and using (as an end-user) LLMs.
- Experience using large-scale distributed (GPU) LLM training strategies.
- Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
ОфисCanada; Toronto; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
RESPONSIBILITIES
- Feature development: You will be owning features on our web platforms – currently the Phantom Extension https://phantom.app/download and our website.
- New initiatives and products: You will be leading initiatives to add support for other blockchains to Phantom, and to launch new complementary products or infrastructure.
- Interfacing with users: You will be interfacing directly with end-users and developers building on Phantom – supporting them and collecting feedback to inform the direction of the product.
- Team building: You will be working with the team to create and foster a culture of raising the bar with each new hire.
QUALIFICATIONS
- Bachelors degree in Computer Science or related technical field or equivalent practical experience
- 5+ years full-time software engineering experience with some of the following technologies:
- React / Typescript / React-Query
- Solana web3.js / ethers.js
- Demonstrated interest in open and community-driven platforms
- English language proficiency
- Nice-To-Have: experience in a blockchain based project
The target base salary for this role will range between $180,000 to $220,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Location: Field - New Jersey
At Clover Health, our mission is simple but powerful: to improve every life by delivering care that is high-quality, accessible, and rooted in compassion and innovation. Our Clover Care Services (CCS) team brings this mission to life by offering personalized, proactive support to our members while partnering closely with providers to elevate outcomes across the community. Powered by Clover Assistant, our advanced data-driven platform, we combine technology with the heart of caregiving, empowering patients, supporting providers, and transforming the way care is delivered.
We are seeking compassionate and driven
Lead Physicians
and
Staff Physicians
to join our dynamic Clover Home Care team across
Southern, New Jersey
. This is a unique opportunity to provide comprehensive primary and supportive care directly in the homes of our most vulnerable members, improving both health outcomes and quality of life.
As a Staff Physician, you will:
Oversee the care and outcomes for a patient cohort, managing cases directly and in collaboration with our team of nurse practitioners.
Conduct in-home and telehealth visits for Medicare Advantage members, leveraging our technology (Clover Assistant and EMR) to deliver high-quality, preventive care.
Coordinate with members' interdisciplinary care teams and other providers to create personalized care plans and actively close gaps in care.
In addition to the responsibilities outlined above, the Lead Physician will:
Provide clinical leadership and mentorship by guiding and supporting nurse practitioners, fostering professional growth, and ensuring the delivery of high-quality, compassionate care across the Clover Home Care team.
Advance clinical excellence and outcomes by leading quality improvement initiatives, conducting assurance reviews, and collaborating with the Medical Director and Practice Manager to optimize care processes and performance.
You should get in touch if:
You hold an MD or DO degree and are board-certified in Internal Medicine, Family Medicine, or Geriatric Medicine.
You are excited about practicing in New Jersey, we welcome the opportunity to support relocation for exceptional providers looking to make this region their home.
You are (or are willing to become) licensed in New Jersey, with DEA and CDS registrations, we will support you in obtaining these if needed.
You bring a minimum of five years of advanced clinical practice experience, with proven expertise in chronic disease management and a strong commitment to improving the lives of vulnerable senior populations.
You have prior experience in home care (preferred).
You are excited about technology and embrace its use to drive high-quality clinical care and improve member outcomes.
Benefits Overview
:
Financial Well-Being:
Our commitment to attracting and retaining top talent begins with a competitive hourly rate. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
Support for Our Clinicians:
Professional liability (malpractice) coverage, Clover-branded scrubs, Personal Protective Equipment (PPE), mileage reimbursement at the IRS rate, license and certification renewal reimbursement, and WiFi reimbursement for select roles.
Physical Well-Being:
We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
Mental Well-Being:
We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as company holidays, access to mental health resources, and a generous time-off policy.
Full-time employees accrue up to 18 days of vacation per year.
Clover recognizes 10 federal holidays, including New Year's Day, Juneteenth, and Christmas. There are also 4 additional paid holidays, and 1 floating holiday.
Professional Development:
Developing internal talent is a priority for Clover. We offer paid Continuing Medical Education (CME) days, a role-based CME allowance, learning programs, mentorship, and regular performance feedback and reviews.
Additional Perks:
Reimbursement for office setup expenses
Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
Paid parental leave for all new parents
And much more!
About Clover:
We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-ONSITE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an
E-Verify
company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$250,000
—
$280,000 USD
Location: Istanbul
Workplace: onsite
The international technology company Ajax Systems opens a full-cycle production facility in Türkiye.
Ajax Systems is the largest developer and manufacturer of security systems in Europe. The back office, R&D department, and two full-cycle production facilities are located in Ukraine. The company has branch offices worldwide: UAE (Dubai), Italy, Spain, Germany, Poland, Canada, and many other regions. Ajax team has more than 2,200 employees, including 500 developers and 1,200 production workers. Attracting local expertise in each key market enables us to scale the product globally and grow fast.
We invite Production Engineers to join the production management team and oversee all the production processes in line with the company’s quality standards and manage the production team. This position is a key strategic role in the company contributing to sustaining and growing business to achieve long-term success at Ajax.
Location: Istanbul, DESBAS(Tuzla)
Responsibilities
Ensures the implementation of the devices that are planned to be introduced on the line.
In case of violation or defect detection, s/he blocks the product lot or stops the line until the nonconformities are corrected.
Informs the management about detected nonconformities, violations and defects by using nonconformity protocols.
Monitors changes in route operational maps (MOC) and technological
instructions.Participates
in the technological control of drawings regarding material accuracy and size
selection.Organizes
experiments and tests of new materials and semi-finished products.
Participates in the improvement of input control and technological control of production and product quality.
Participates in studies on the definition and selection of optimal parameter control methods.
Participates in the standardization of control materials.
Ensures that the department works according to the requirements of the Quality Guidelines.
Participates in determining the priority targets of the department that can be measured in the field of
quality.Implements
and provides a process approach to the implementation of production activities while performing official
duties.Participates
in the analysis of the effectiveness of actions implemented in the field of process and product quality.
Develops their qualifications by participating in seminars and trainings,
Works in accordance with working and industrial discipline, internal working regulation rules and hygiene rules,
Complies with occupational health and safety instructions,
Fulfills the requirements, management decisions and instructions of the current legislation
Ajax Systems is a big team of professionals and open-minded people who share ambitious goals. Join in!
Location: São Paulo, Brazil
SENIOR MEDIA BUYER
Our Mission is to be able to say - “Anyone in the World below $15M should fire their Agency tomorrow as nobody can beat this Value & Service at this Price”
We’re looking for a results-driven and experienced Senior Media Buyer to join our team.
As a Senior Media Buyer at Common Thread Collective (CTC), you will be instrumental in driving client success through strategic media buying, precision optimization, and data-driven forecasting. You will lead the development of accurate, insight-driven forecasts, ensuring that every strategy is executed seamlessly to transform projections into tangible, scalable growth for our clients. Your actions and decisions consistently resonate with the core values of CTC Global, serving as a beacon for these principles. At CTC, your trained expertise is invaluable, covering the entire spectrum of CTC’s Strategic Forecasting methods and the foundational principles of media acquisition.
Your role goes beyond delivering measurable business outcomes—you will be a proactive partner in client success, maintaining clear and transparent communication about performance, strategy adjustments, and key optimizations. This ongoing engagement builds trust, strengthens client relationships, and positions CTC as a strategic leader in performance marketing.
You stand as a representative and zealous
advocate for CTC's unique approach to media acquisition and its accompanying tools.
As a Senior Media Buyer, you set a high standard, ensuring efficiency, scalability, and a results-focused approach.
You thrive in fast-paced environments, take ownership of performance outcomes, and are committed to continuous learning and innovation. We embrace the mantra, “Everyday in Everyplay, Count on Me,” meaning we take responsibility, execute with excellence, and see strategies through to success.
WHAT WE LOOK FOR
This place isn’t for everyone, but it might be for you if…
Our core values are the heart and soul of this incredible Company. The right person for this role will appreciate each of these values, personally subscribe to them, and understand why each is critical to having a great business.
To give ourselves our best shot at accomplishing Our mission, we organize all of our decisions — from recruiting, to hiring, to raises, to promotions, to how we spend our time and money — in the direction of three committed values.
We recognize these values aren't for everyone.
They're challenging. In fact, they're so challenging, that's why we invest so much in supporting our team and why we tend to attract people who are craving the opportunity to do more at work than get a paycheck. We're looking for those who are interested in making their work significant.
AUTODIDACT
Naturally curious and an autodidact, able to absorb information quickly and effectively, like osmosis. Your commitment to learning sets you apart, absorbing information swiftly and more effectively than your peers
.
Your openness to both offer and embrace feedback as an opportunity for growth and implement it proactively, without needing constant direction.
Demonstrates resourcefulness, and independently refine your skills without being prompted.
Thrives in a self-managed environment, showing autonomy, initiative, and a commitment to continuous improvement and not requiring task lists built by their managers and constant oversight.
UNIMPEACHABLE CHARACTER
Embodies a character that inspires pride in both personal and professional associations.
Consistently honest, with the courage to acknowledge and communicate hard truths, and the humility to accept them, even when uncomfortable, and never lie in any situation.
Displays a high level of self-awareness, taking full ownership of outcomes without resorting to a victim mindset.
Values constructive feedback and integrates it, understanding nothing great is built without feedback.
COMPETITIVE GREATNESS
Performs at their best when it matters most, The Enjoyment of Hard Challenges.
Demonstrates an unyielding determination to get things done, regardless of obstacles, time constraints, skills needed, or resources.
Adapts to changing circumstances, recognizing that true success is about not just meeting, but exceeding what is required.
Possesses a deep passion for their work, using creativity and resilience to overcome any hurdle.
What Success Looks Like
NECESSARY SKILLS
KICK OFF PERIOD
Be willing to put in the hard work required and be hungry enough to go through the kick off.
Being ready and prepared for this to be the hardest job you have ever worked, as you would fundamentally develop a high-leverage new skill.
The ability to take feedback and implement it fast.
Finish the work to the fullest with quality and on time.
Perseverance.
Remember and learn from the repetitive doing of the exercises.
ONBOARDING
Align with the team and contribute to the team called Brain Trust for Ideas across clients.
Manage, align & work with the team members of your pod including Google strategist, Creative Strategist, and Email Strategist.
Ability to organize, prioritize, and manage multiple tasks with great attention to detail.
Upkeep of data integrity of your clients across Statlas.
Be responsible for the execution of the Prophet system for your clients
Building a Growth Forecast for your clients
Building a Growth map using the Prophet System
Data Analysis required for the Map
Marketing calendar alignment and upkeep with clients
The Daily Execution and Actualisation vs the Forecast.
You make tactical deconstructions and actualize the projections each day to adjust them to meet KPIs
Combine data analysis and feedback from clients to develop strategic plans for the future.
When it’s time to pivot you are among the first early adopters
Take a lead in situations that present any obstacle to execution.
An insatiable curiosity, and an inability to leave a problem alone until you’ve found one or many different potential solutions.
Responsible for the implementation of CTC’s Meta best practices
Build campaigns using our structure and best practices
Upkeep and management of our ideologies and processes throughout the account.
Monitoring active campaigns, and adjusting budgets and strategy to ensure the best possible chance of hitting the Daily Projected Targets
Implementing tests in your accounts in an effort to beat your best-performing campaigns.
ENSURING AND HOLDING THE STANDARD OF QUALITY OF WORK
Ensuring you are within a 5% Delta to the Forecast
Ensuring daily alignment with the client vs the forecast & strategy
Ensuring above benchmark client satisfaction rate feedback
Ensuring following the Prophet system execution to 100% within the timeline required.
Ensuring all the work is delivered based on the timeline assigned with optimal quality & attention to detail.
Client Communication
You are a champion of communication, ensuring the client is aligned on the Growth Map goals and next steps, while making sure everybody on your team has clarity on what is required with exact deadlines.
Responsible for sending daily performance updates to the client
Ensure alignment across Strategy and Forecast with the client for every day of the week.
Providing weekly updates on the Weekly Strategy Call.
CONTRIBUTING BACK
Contributing your learnings back to the system for feedback and continuous improvement
Contributing & collaborating in ideas and learning across teams
Contributing to ideas and learning in future company content production.
NEXT-LEVEL SKILLS
Communication Skills
Fluent in English, with a proven ability to communicate persuasively and present ideas clearly to various stakeholders.
Skilled in crafting thoughtful, empathetic client messaging that resonates, demonstrating a high level of emotional intelligence.
Strong presentation skills, capable of delivering compelling presentations that drive engagement and decision-making.
Great Data Analysis skills
Strong raw talent for data analysis, with an eagerness to learn and improve.
Familiarity with data tools, including Google Sheets, with the flexibility to develop advanced skills through on-the-job experience.
Past Experience
Historical expertise that compounds to bring a well-rounded perspective and adds value to the role.
A breadth of experience from any of the multiple domains, including mathematics, data analytics, business operations, retail, finance, media buying, etc
Critical Thinking
Ability to approach challenges with structured thinking, utilizing logical frameworks to effectively solve complex problems.
Naturally adept at dissecting issues and proposing practical, impactful solutions.
Impact
Passionate about e-commerce and eager to contribute to a high-performing team at the forefront of the industry.
Highly motivated and hardworking, with a strong desire to learn, grow, and make a meaningful impact.
Thrives in environments where they can see the direct results of their actions on the business, with a strong preference for roles that offer full accountability and autonomy.
Results
You will merge the Finance and Marketing sides of a business to build a forecasted strategy to help the business achieve its goal.
Achieve certification and confidence in our ideology by the end of the kick off, enabling precise execution of the Prophet system to ensure top-quality results for clients.
Consistently deliver high-accuracy performance within a 5% delta across the Prophet system’s Growth Map and Statlas.
Lead and collaborate with your team to optimize productivity and maintain high-performance standards.
Apply best practices in media buying to drive outstanding results, ensuring no one could achieve better outcomes in your role.
Maintain client satisfaction levels above benchmark rates, aligning daily on forecasts to exceed client expectations.
Adhere to rigorous quality standards in client feedback, forecasting, media buying decisions, and system execution.
Meet all deadlines and budget requirements, ensuring timely and on Target Performance.
Contribute valuable ideas to team discussions and company-wide content, supporting growth and innovation.
DOMAIN
MANAGEMENT
Your supervisor would be Joy Sharma, The Director of the CTC Accelerator Program.
You’ll report directly to
Joy Sharma
—a leader known for his relentless pursuit of excellence and an unmatched passion for growth strategy. Joy is a rare mentor, often described as the closest you’ll come to learning directly from Taylor Holiday himself. With a career built on his own rigorous, self-driven learning, Joy has transformed numerous team members into top-tier strategists, instilling in them the values of dedication, precision, and continuous improvement.
Working under Joy's guidance will push you to your limits in the best possible way. He models the value of hard work, and learning from him feels like “drinking from a firehose”—you’ll absorb knowledge quickly and consistently, experiencing tremendous growth. Joy is committed to personally ensuring you reach your full potential as a Senior Media Buyer, supporting your journey every step of the way.
ORIENTATION
This role will be client-facing.
WHAT’S IN IT FOR ME?
SALARY RANGE
First month: $2,000
Second month: $4,000
Third month (on average): $7,000 a month
1st Year Annual Range: $64,000-$76,000
2nd Year Annual Range: $100,000-$120,000
This will depend on the amount of clients and the quality of work.
Growth, Transparency, and Fairness in Career Development
Progress is Clearly Defined
Depends primarily on your experience with the system & quality of execution against it. Following a well-defined path for the first 12 months and how exactly you can grow to be promoted to the next level.
Fairness and transparency are prioritized
Access a weekly performance dashboard to see exactly where you stand compared to team members on both objective and subjective metrics.
Pay transparency is upheld for all team members
With consistent contract terms and a clear roadmap for increasing earnings, ensuring everyone understands the path to greater compensation. We will also talk monthly about how you can progress.
My Commitment to You:
You will work harder, learn more than ever before, and “make more than you ever have.” You will gain a diverse skill set while actively contributing to the continuous development of new tools and improvements within our system. In doing so you will have an incredible opportunity for rapid career progression.
We will continue to provide you mentorship through every step of your development in the role and promotion from it. We will then continue to provide feedback against the expectation and evaluate against it.
Location & Environment
Fully remote with the ability to pick your schedule.
Embrace autonomy as a core value, with clear expectations, regular 1:1 feedback sessions, and measurable quality benchmarks to support personal growth. Exceptional work is recognized and rewarded, with weekly check-ins for accountability, ensuring you’re consistently challenged and engaged with new opportunities daily.
Location: Europe, Remote
About Zencoder
At
Zencoder.ai
, we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks.
The Opportunity
We’re looking for a passionate
Senior Software Engineer
to collaborate on building the next-generation AI coding platform. This is a rare opportunity to join an early-stage company founded by Andrew Filev (founder of a unicorn startup) — to help scale it into a thriving, world-changing business. Together, we’re shaping the future of software development — closing the gap between idea and reality, and influencing not only how code is written, but how progress happens across every field that depends on software.
Key Responsibilities
You’ll take ownership of designing and building key features. Our stack currently consists of TypeScript and Kotlin and you may be expected to work across all of them. This is not a “just code what’s assigned” role — we’re looking for people with a product mindset, who think deeply about users, bring ideas for product growth, and aren’t afraid to propose and launch new things.
We value people who make things happen through their own enthusiasm, rather than waiting for managers to tell them what to do. Here, individual contributors hold the highest status — they are the driving force behind the company’s progress. You’ll work alongside top professionals in an environment that celebrates curiosity, creativity, and results.
Essential Qualifications
10+ years of experience building complex, production-grade applications, including deep expertise in backend development in Java / Kotlin / TypeScript.
Strong computer science foundation combined with a deep understanding of modern software architecture and design principles — and a proven record of applying them effectively in real-world, user-facing products.
Product mindset — you think beyond code, care about the “why” behind the feature, and proactively contribute ideas that make the product better for users.
Strong sense of ownership — you take initiative, drive projects from concept to launch, and thrive when given autonomy and accountability for outcomes.
Deep familiarity with AI assistants, a solid grasp of the evolving AI landscape, and the ability to translate trends and capabilities into practical product improvements.
Proven ability to collaborate effectively within a fast-moving, cross-functional team — communicating clearly, sharing context, and supporting others to achieve shared goals.
Passion for continuous learning, experimentation, and innovation — you stay curious, adapt quickly, and always look for ways to push the boundaries of what’s possible.
Comfort working in dynamic, fast-changing environments — ideally with prior experience in start-ups or early-stage teams where clarity must often be created, not awaited.
Experience or a strong interest in building collaborative, real-time systems is beneficial.
Why Join Zencoder?
Shape the Future of Software Creation:
We’re not just improving how developers write code — we’re redefining how ideas turn into reality. By closing the gap between concept and execution, we’re creating tools that will influence every industry that relies on software.
Massive Impact, Real Ownership:
At Zencoder, you’ll have full visibility into how your work moves the product and the company forward. You’ll ship features that matter, see the immediate impact of your decisions, and get feedback directly from users — fast.
ICs Are the Core:
Individual Contributors are the highest-status role at Zencoder. Our culture celebrates those who lead by doing — who create momentum, inspire others, and turn ideas into shipped products.
High-Caliber Team & Founder:
Work alongside exceptional AI and software engineers, and learn directly from Andrew Filev, founder of a unicorn startup, who brings deep expertise in scaling world-class technology companies.
Global & Flexible:
We hire talent, not coordinates. Work from wherever you’re happiest and most productive — as long as you bring the energy, focus, and results.
Aligned Incentives:
Our equity plan ensures that when we succeed, you succeed. Your impact compounds as the company grows.
Zencoder is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE:
We’re looking for a Senior Product Marketing Manager to help accelerate the growth of Replit Agent— a core part of our mission to allow anyone to build software, without any coding experience.
This role sits at the crossroads of product, engineering, and go-to-market, ensuring that every new feature we ship lands with clarity, excitement, and impact. You’ll work closely with our engineers, PMs and Partnership teams to understand the product roadmap, then translate those innovations into compelling narratives that resonate with builders of all kinds — from solo builders to enterprise teams. You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives.
Replit moves fast — we ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We’re looking for someone who thrives in that environment: part strategist, part storyteller, and part operator.
WHAT YOU’LL DO:
- Lead Product Marketing for our Launches
Develop and operationalize Replit’s launch motion — from early roadmap planning through public release. Create repeatable frameworks that keep launches fast, clear, and coordinated.
- Shape Messaging & Positioning
Craft technically fluent, developer-first narratives that highlight how Replit’s AI coding agent accelerates creativity and productivity. Tailor messaging to different developer segments and channels.
- Create Sales & Growth Enablement
Build the first generation of enablement materials (decks, demos, battlecards, FAQs) that empower GTM teams and partners to tell Replit’s story confidently.
- Lead Competitive and Market Insights
Stay ahead of the fast-moving landscape in AI coding assistants and app development platforms. Identify key trends, threats, and whitespace opportunities that shape how Replit stands out.
- Co-market with our Partner ecosystem
You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives
- Analyze & Learn
Define metrics, gather insights, and feed back learnings from the field and community to inform product and marketing strategies.
YOU'LL BE A GOOD FIT IF YOU:
- Have 8+ years of work experience, including 6+ years in product marketing (ideally within the app development space)
- Love building from scratch — frameworks, processes, teams, and strategy
- Excellent written communication and storytelling skills, with the ability to simplify complexity
- Are equally comfortable writing a launch announcement, building a competitive teardown, or running a cross-functional sync
- Have a founder mindset: you identify gaps and fill them, move quickly, and don’t wait for someone else to define the playbook
- Proven ability to partner directly with engineers and product managers, turning technical concepts into simple, powerful stories
- Strong project management skills — you can juggle multiple launches and keep teams aligned under pressure
- Experience with sales enablement and competitive positioning for technical audiences
- A collaborative, low-ego approach and willingness to dig into the details
BONUS POINTS:
- Experience in app development space or marketing to product managers, designers, sales, marketing or operations teams
- Experience with Partner/Ecosystem Marketing- to start with, we are looking for a generalist who can also help out with Partner Marketing
- Experience at a startup or high-growth environment where speed and adaptability matter
- Understanding of AI and machine learning technologies
- A track record of successful launches for developer-facing products
EXAMPLE PROJECTS:
- Establishing a repeatable launch rhythm for major features and smaller updates
- Building a competitive intelligence framework for the AI coding assistant space
- Developing persona-driven messaging for builders across different segments and company sizes
- Launching and executing co-marketing initiatives with Replit’s partner ecosystem
- Coordinating cross-functional launches with engineering, product and marketing
- Defining metrics and feedback loops between product, marketing, and the our builder community
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: New York, United States
At Whizz, we are transforming how delivery riders access affordable and reliable mobility. As a Sales Hunter, you will be the friendly and professional face of our company, building trust and excitement around Whizz’s e-bike solutions. This role is not only about sales but also about storytelling, relationship-building, and becoming a true advocate for our mission.
Requirements
Hardworking: Hustler mentality with strong work ethic and goal driven;
People Friendly: Excellent interpersonal and communication skills to build rapport with clients;
Organized: Strong organizational skills to manage multiple leads and sales activities efficiently;
Disciplined: Self-motivated and able to work independently with minimal supervision;
Authorized to work in the US;
Knowledge of foreign languages: (French, Spanish, Arabic) is a big plus
Benefits
Flexible hours
that work around your schedule;
Potential to earn around
$1,500/week
;
Apply and
work in your preferred language
;
Fast career track
with chances to move into leadership;
Training and proven sales strategies to help you succeed quickly.
Location: San Francisco, United States
At Whizz, we are transforming how delivery riders access affordable and reliable mobility. As a Sales Hunter, you will be the friendly and professional face of our company, building trust and excitement around Whizz’s e-bike solutions. This role is not only about sales but also about storytelling, relationship-building, and becoming a true advocate for our mission.
Requirements
Hardworking: Hustler mentality with strong work ethic and goal driven;
People Friendly: Excellent interpersonal and communication skills to build rapport with clients;
Organized: Strong organizational skills to manage multiple leads and sales activities efficiently;
Disciplined: Self-motivated and able to work independently with minimal supervision;
Authorized to work in the US;
Knowledge of foreign languages: (French, Spanish, Arabic) is a big plus
Benefits
Flexible hours
that work around your schedule;
Potential to earn around
$1,500/week
;
Apply and
work in your preferred language
;
Fast career track
with chances to move into leadership;
Training and proven sales strategies to help you succeed quickly.
Location: Chicago, United States
At Whizz, we are redefining mobility for delivery riders by providing them with reliable, affordable, and accessible e-bike solutions. As a Field Sales Coordinator, you will play a key role in managing and driving our sales efforts in the field. This position is perfect for someone who enjoys both organizing processes and engaging directly with people. You’ll coordinate daily sales activities, support our field agents, and personally interact with potential clients to grow our community of riders.
Requirements
Hardworking: Hustler mentality with strong work ethic and goal driven;
People Friendly: Excellent interpersonal and communication skills to build rapport with clients;
Organized: Strong organizational skills to manage multiple leads and sales activities efficiently;
Disciplined: Self-motivated and able to work independently with minimal supervision;
Authorized to work in the US;
Knowledge of foreign languages: (French, Spanish, Arabic) is a big plus
Benefits
Flexible schedule with 3–5 shifts per week;
Earn around
$1,500/week
through sales and bonuses;
Apply and
work in any language
(French, Spanish, Arabic a plus);
Fast career track with leadership opportunities;
Access to proven sales strategies and training to launch quickly.
Location: New York, United States
At Whizz, we are redefining mobility for delivery riders by providing them with reliable, affordable, and accessible e-bike solutions. As a Field Sales Coordinator, you will play a key role in managing and driving our sales efforts in the field. This position is perfect for someone who enjoys both organizing processes and engaging directly with people. You’ll coordinate daily sales activities, support our field agents, and personally interact with potential clients to grow our community of riders.
Requirements
Hardworking: Hustler mentality with strong work ethic and goal driven;
People Friendly: Excellent interpersonal and communication skills to build rapport with clients;
Organized: Strong organizational skills to manage multiple leads and sales activities efficiently;
Disciplined: Self-motivated and able to work independently with minimal supervision;
Authorized to work in the US;
Knowledge of foreign languages: (French, Spanish, Arabic) is a big plus
Benefits
Flexible schedule with 3–5 shifts per week;
Earn around
$1,500/week
through sales and bonuses;
Apply and
work in any language
(French, Spanish, Arabic a plus);
Fast career track with leadership opportunities;
Access to proven sales strategies and training to launch quickly.
Location: San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams.
Responsibilities:
Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack
Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities
Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents
Review Incident Response metrics and procedures and drive continuous improvement
Work cross functionally with other security and engineering teams
Note: This position will require participation in an on-call rotation
You may be a good fit if you:
3+ years of software engineering experience, with security experience a plus and/or
5+ years of detection engineering, incident response, or threat hunting experience
A solid understanding of cloud environments and operations
Experience working with engineering teams in a SaaS environment
Exceptional communication and collaboration skills
An ability to lead projects with little guidance
The ability to pick up new languages and technologies quickly
Experience handling security incidents and investigating anomalies as part of a team
Knowledge of EDR, SIEM, SOAR, or related security tools
Strong candidates may also have experience with:
Experience performing security operations or investigations involving large-scale Kubernetes environments
A high level of proficiency in Python and query languages such as SQL
Experience analyzing attack behavior and prototyping high quality detections
Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics
Experience contributing to a high growth startup environment
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote
We are looking for
a Trading Operations Specialist
to support our algorithmic trading activities. Your main responsibility will be to ensure that trading runs smoothly, reliably, and safely, through careful execution of operational checks, real-time monitoring, and timely escalation. This is a hands-on role, not a management track - ideal for someone detail-oriented, disciplined, and motivated to work in a regulated algo-trading environment
What You’ll Be Doing:
Execute
pre- and post-session checks
to confirm system readiness and close out procedures
Monitor
intrasession invariants
(positions, connectivity, latency, market data consistency, error rates) and promptly escalate deviations
Follow
escalation procedures
to involve the right people at the right time when anomalies arise
Contribute to
continuous improvement
of anomaly detection quality, incident reaction times, and communication efficiency
Keep accurate operational records and logs for auditability and learning
Shift-based schedule, ensuring reliable coverage across required trading hours.
What We Look For In You:
Bachelor’s degree in Finance, Economics, Mathematics, or related field (or equivalent practical experience)
3 years in trading operations, trade support, or market surveillance (experience in algo/electronic trading is a plus, but not required)
Solid understanding of how financial markets and trading systems operate
High attention to detail and ability to stay calm under pressure
Comfortable following structured procedures while also spotting where they can be improved
Clear communicator in English, able to escalate effectively and work with multidisciplinary teams
Why Should You Join Our Team?
Join an international team of highly qualified professionals
Work remotely from an eligible location within the UTC−11 to UTC−5 time zone range.
40 paid days off
Competitive salary
УдалённоWork remotely from an eligible location within the UTC−11 to UTC−5 time zone range
Location: JP - Tokyo, Japan
UXデザイナー - 新位置情報モバイルゲーム
The UX Design team of Scopely Explore (formerly known as Niantic) delivers innovative mobile experiences that inspire "exploration, exercise, and connection" for players around the world. In this position, you will tackle unique design challenges set in the real world, always placing the player’s perspective at the center of your UX design.
For your assigned game title, you will drive the UX design process from concept to completion. You will handle a broad scope of work—including UX flows, wireframes, and UI design—to shape intuitive and user-friendly experiences. Additionally, a crucial part of this role involves validating ideas using mockups and prototypes to clearly visualize and refine design concepts.
In development, you will collaborate closely with a diverse group of experts—including Engineers, Product Managers, User Researchers, and Artists—to co-create unique Scopely Explore experiences that blend the real and digital worlds. You will actively participate in brainstorming and new feature planning, contributing directly to the product's direction.
Additionally, you will communicate your design intent visually to internal and external stakeholders using wireframes and specifications. Your goal is to foster a shared understanding while building out the design.
If the prospect of exploring the future of real-world interactive experiences that make a positive experience in people's lives sounds exciting, we'd love to hear from you!
What you will do
Lead UX design efforts from concept to implementation for one or more player facing experiences
Develop mockups, wireframes, prototypes, and detailed design documentation to clearly describe interaction flows and design concepts.
Clearly communicate UX designs to all stakeholders.
Actively participate in team rituals to conceptualize and brainstorm new features.
Collaborate with cross-functional team members and partners, including regular and reliable attendance and participation in meetings.
Required in-office 3 days on Tuesday, Wednesday, and Thursday.
What you will need
3+ years of professional experience in UX/UI design.
A portfolio demonstrating interaction design for mobile applications.
Proficiency in designing effective user flows and wireframes.
Strong visual design skills with professional experience using design tools such as Figma.
Ability to create sketches and designs for design validation (prototyping).
Experience in mobile application or game development.
Fluent in Japanese, with the ability to smoothly communicate verbally and in writing.
業務内容
Scopely Explore のUXデザインチームは、世界中のプレイヤーに「発見・エクササイズ・つながり」をもたらす革新的なモバイル体験を提供しています。本ポジションでは、リアルワールドを舞台としたユニークなデザインの課題に取り組み、常にプレイヤー視点を中心に据えてUXを設計していただきます。
担当となるゲームタイトルでは、コンセプト立案からUXデザインを推進します。UXフロー、ワイヤーフレーム、UIデザインなど幅広い領域を担当し、直感的で使いやすい体験を形にしていきます。また、モックアップやプロトタイプを活用してアイデアを検証し、デザインコンセプトを明確に具体化することも重要な役割です。
開発では、エンジニア、プロダクトマネージャー、ユーザーリサーチャー、アーティストなど、多様な専門メンバーと密接に協力し、リアルとデジタルが融合したScopely Exploreならではの体験を共に作り上げます。新機能の企画やブレインストーミングにも積極的に参加し、プロダクトの方向性づくりにも貢献します。
加えて、社内外のステークホルダーには、ワイヤーフレームや仕様書を用いてデザイン意図を視覚的に分かりやすく説明し、共通理解を形成しながらデザインを構築していきます。
週3(火、水、木)での出社が必須となります。
必須条件
3年以上のUX/UIデザイン実務経験
モバイルアプリのインタラクションデザインを含むポートフォリオをお持ちの方
ビジュアルデザインに強みがあり、Figmaなどデザインツールを用いたデザイン実務経験がある方
ユーザーフローやワイヤーフレームを適切に設計できる方
アイディアのスケッチやデザインを制作できる方
モバイルアプリまたはゲームの開発経験のある方
日本語での文書作成・口頭コミュニケーションがスムーズに行える方
※英語でこれらのことができればなお歓迎します
変化の早い環境に柔軟に適応し、実用的な課題解決ができる方
多職種との協働経験があり、対面・オンライン問わず円滑なコミュニケーションができる方
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.
This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.
We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.
No ML or Research experience is required
Responsibilities
Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
Create reusable platforms and tools that accelerate the development of new research applications
Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
Contribute to technical strategy and architectural decisions for research tooling
Mentor other engineers and help establish best practices for research application development
You may be a good fit if you
Have 5+ years of software engineering experience with a strong focus on full-stack development
Excel at rapid iteration and shipping—you can move from concept to working prototype quickly
Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
Demonstrate high agency and ability to operate independently in ambiguous environments
Can quickly develop deep understanding of complex technical domains
Have strong product instincts and can identify the right problems to solve
Are proficient with modern web technologies (React, TypeScript, Python, etc.)
Have a track record of building user-facing applications that are actually used and loved by their target audience
Communicate effectively with both technical and non-technical stakeholders
Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have
Experience building research tools, scientific software, or experimentation platforms
Background in machine learning, AI research, or working closely with ML researchers
Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
Built open-source tools or platforms with active user communities
Experience with data visualization, interactive interfaces, or novel interaction paradigms
Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
Experience leveraging AI/LLMs to build more powerful or efficient tools
Previous work in creative tools, artist tools, or other domains requiring deep user empathy
Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment
Representative projects
Building interfaces for collecting and managing human feedback on model outputs at scale
Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs
Developing visualization tools that help researchers understand model behavior and identify failure modes
Designing reusable components and frameworks that enable rapid development of new research applications
Building sandboxed execution environments for safely running AI-generated code
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York; San Francisco; Toronto; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads.
Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.
Job Responsibilities:
As an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures.
Qualifications:
- 5+ years of experience writing high-performance, production-quality code
- Strong programming skills in C++ or Python (Rust/Go also welcome)
- Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.)
- Ability to diagnose and resolve performance bottlenecks across the model execution stack
- A strong bias for action — you ship fast, measure impact, and iterate
It’s a big plus if you have experience with:
- GPU programming, CUDA, or low-level systems optimization
- Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations)
- Scaling performance-critical distributed systems (e.g., computation, search, storage)
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts.
People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer".
A few places to learn more about our work and team at a high level are
this introduction to Interpretability
from our research lead,
Chris Olah
; a
discussion of our work
on the
Hard Fork podcast
produced by the New York Times, and this
blog post
(and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include
A Mathematical Framework for Transformer Circuits
,
In-context Learning and Induction Heads
,
Toy Models of Superposition
,
Scaling Monosemanticity
, and our Circuits’
Methods
and
Biology
papers. This work builds on ideas from members' work prior to Anthropic such as the
original circuits thread
,
Multimodal Neurons
,
Activation Atlases
, and
Building Blocks
.
We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our
vision post
). In the short term, we have focused on resolving the issue of "superposition" (see
Toy Models of Superposition
,
Superposition, Memorization, and Double Descent
, and our
May 2023 update
), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent
work
found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks.
We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an
Interpretability Architectures project
that involves collaborating with Pretraining.
Responsibilities:
Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights
Design and run robust experiments, both quickly in toy scenarios and at scale in large models
Create and analyze new interpretability features and circuits to better understand how models work.
Build infrastructure for running experiments and visualizing results
Work with colleagues to communicate results internally and publicly
You may be a good fit if you:
Have a strong track record of scientific research (in any field), and have done
some
work on Interpretability
Enjoy team science – working collaboratively to make big discoveries
Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away
You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results
You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null
To learn more about the skills we look for and how to prepare for this role, see our blog post –
So You Want to Work in Mechanistic Interpretability?
Familiarity with Python is required for this role.
Role Specific Location Policy:
This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of
Research Engineers
and
Research Scientists
. If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply.
About the Interpretability team
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe.
People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer".
We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our
vision post
). We have focused on resolving the issue of "superposition" (see
Toy Models of Superposition
,
Superposition, Memorization, and Double Descent
, and our
May 2023 update
), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent
work
which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our
most recent work
, we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks.
A few places to learn more about our work and team are this
introduction to Interpretability
from our research lead,
Chris Olah, Stanford CS25 lecture given by Josh Batson, and
TWIML AI podcast
with Emmanuel Ameisen.
Some of our team's notable publications include and our Circuits’
Methods
and
Biology
papers,
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
,
Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
,
A Mathematical Framework for Transformer Circuits
,
In-context Learning and Induction Heads
, and
Toy Models of Superposition
. This work builds on ideas from members' work prior to Anthropic such as the
original circuits thread
,
Multimodal Neurons
,
Activation Atlases
, and
Building Blocks
.
About the role
As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally.
Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline.
If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our
Research Scientist
or
Research Engineer
roles instead.
Key responsibilities
Partner with a research lead on direction, project planning and execution, hiring, and people development
Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively
Coach and support team members to have more impact and develop in their careers
Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing
Help identify and support opportunities for collaboration with other teams across Anthropic
Communicate team updates and results to other teams and leadership
Maintain a deep understanding of the team's technical work and its implications for AI safety
You may be a good fit if you
Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams
Have a background in machine learning, AI, or a related technical field
Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles
Have strong project management skills, including prioritization and cross-functional coordination and collaboration
Have managed technical teams through periods of ambiguity and change
Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research
Are a strong communicator both in speaking and in writing
Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well
Strong candidates may also have
Experience scaling engineering infrastructure
Experience working on open-ended, exploratory research agendas aimed at foundational insights
Some familiarity with our work and mechanistic interpretability
Role-Specific Location Policy
This role is expected to be in our SF office for 3 days a week.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
УдалённоseniorWe strongly encourage candidates of all backgrounds to apply
leadСША; You are excited about practicing in New Jersey, we welcome the opportunity to support relocation for exceptional providers looking to make this region their home; Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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ГибридseniorСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
JP - Tokyo, Japan
San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA
УдалённоNew York; San Francisco; Toronto; Montreal; We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility; You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities