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Location: Astana, Kazakhstan; Moscow, Russia Müller's Solutions is seeking a talented BMC Helix Consultant Developer to join our innovative team. In this role, you will leverage your expertise in BMC Helix to design, develop, and implement solutions that improve IT service management and operational efficiency for our clients. Your technical skills will be essential in configuring and customizing BMC Helix applications to meet specific client needs. Key Responsibilities: Develop, configure, and customize BMC Helix applications to fulfill client requirements. Collaborate with clients to understand business processes and translate them into effective Helix configurations. Participate in all phases of the software development lifecycle, including requirements gathering, design, development, testing, and deployment. Perform troubleshooting and issue resolution to ensure optimal functioning of BMC Helix applications. Integrate BMC Helix with third-party solutions and services, using REST APIs and other integration methods. Conduct testing, code reviews, and documentation to maintain high-quality standards. Provide ongoing support and maintenance for BMC Helix applications to optimize performance and user satisfaction. Stay informed about the latest features and enhancements within the BMC Helix ecosystem. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum 3-5 years of experience as a Developer, specifically working with BMC Helix products. Strong knowledge of ITSM processes and frameworks, including Incident Management, Change Management, and Problem Management. Experience in configuring and customizing BMC Helix applications, including but not limited to Helix ITSM and Helix Digital Workplace. Proficiency in programming languages relevant to BMC Helix development (e.g., Java, JavaScript). Understanding of web services and integration techniques (e.g., REST, SOAP). Excellent analytical and problem-solving skills with attention to detail. Strong communication and interpersonal skills for effective collaboration with clients and team members. Experience with agile development methodologies and tools. BMC certifications relevant to Helix ITSM or related modules are a plus. Preferred Qualifications: Familiarity with database technologies and SQL scripting. Experience in implementing or managing cloud-based solutions. Knowledge of DevOps tools and practices.

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: 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: Mohandeseen, Giza Workplace: onsite We are looking for a dedicated Call Center Agent to handle inbound and outbound customer interactions, resolve inquiries efficiently, and ensure a seamless customer journey. What you will do: Handle inbound and outbound customer calls professionally and efficiently. Respond to customer inquiries regarding financing solutions, payment plans, and account details. Provide accurate product and service information while maintaining high-quality standards. Resolve customer complaints, requests, and escalations with empathy and efficiency. Log all customer interactions accurately in the CRM system. Follow up on pending cases to ensure timely resolution. Collaborate closely with team leaders to improve call quality and enhance the customer experience. Promote Klivvr's financing services and guide customers through the application process. Ensure compliance with company policies, data privacy regulations, and Central Bank of Egypt requirements. Strive to meet and exceed individual and team KPIs, including call handling time, customer satisfaction, and resolution rates. To succeed in the role, you’ll need to have: Bachelor’s degree in Business Administration, Commerce, or a related field. 0–2 years of experience in customer service, preferably in financial services, banking, or telecom. Strong problem-solving skills and the ability to handle customer concerns effectively. Active listening and conflict-resolution skills. Excellent communication and interpersonal skills in both Arabic and English. Basic computer proficiency, including Microsoft Office and CRM tools.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking an Associate to join the Platform Operations team. This role sits at the center of iCapital's mission, focusing on enhancing operational scalability, driving innovation, and ensuring the delivery of exceptional support experiences to iCapital clients and partners. This individual will become an expert and advisor on the iCapital platform while striving for operational excellence. The ideal candidate will build strong client relationships and become a strategic problem solver together with team Leads and Associates. This role is highly collaborative, with a strong focus on improving iCapital’s clients' overall satisfaction and operational processes as a team. Responsibilities Develop an in-depth understanding of all interfaces on the iCapital platform, ensuring the seamless launch of fund launches, recurring client activities, and ongoing health of our alternative clients with key relationships with wirehouses, RIAs, and IBDs. Execute end-to-end technical and operations deliverables on recurring platforms, manage daily workflows to ensure consistent, high-quality service delivery, and maintain a client-first approach in all operational activities. Partner closely with Product and Technology teams to investigate platform behavior, troubleshoot complex issues, and support root-cause analysis across workflows, integrations, and data dependencies. Operate confidently within technical systems and tools that support the iCapital platform, including configuration management, workflow logic, and issue triage across multiple platform interfaces. Act as the primary contact for clients, managing inquiries and optimizing their platform experience while also prioritizing and categorizing requests for efficient resolution. Meet and exceed service level agreements and performance targets through effective queue management. Work with internal teams to escalate and resolve high-priority issues, ensuring quick resolution. Enhance and maintain product documentation and internal resources to support platform users. Maintain fund collateral and offerings to keep the platform updated with varying alternative investment products. Qualifications 2-5+ years of experience in a client-facing role within the finance industry Bachelor’s degree is required Experience analyzing complex technical problems, breaking them down into actionable steps and driving them toward a resolution Able to thrive in a fast-paced, dynamic environment, demonstrating flexibility and the ability to quickly adjust to new challenges and priorities Proactive team member who seeks ways to improve client satisfaction and operational efficiency, contributing positively to our team culture and client success Experience with support ticketing tools and a strong foundation in technical troubleshooting with the ability to take a patient and client-centric approach to delivering technical and platform support Strong verbal and written interpersonal skills with the ability to explain complex concepts to clients and internal parties with limited knowledge of the topic Able to convey complex concepts clearly and concisely to a diverse audience High attention to detail with the ability to manage complex workflows, identify discrepancies, and ensure accuracy across platform operations and client deliverables Self-starter with a strong sense of ownership; able to work independently, prioritize effectively, and proactively drive issues through resolution Strong technical aptitude, including comfort working “under the hood” of platforms to understand system behavior, workflows, and dependencies Ability to analyze technical and operational issues using structured problem-solving, including reviewing data, logs, or system outputs to identify root causes Comfort translating technical concepts and platform behavior into clear, actionable explanations for both clients and non-technical internal partners Benefits The base salary range for this role is $70,000 to $85,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: San Francisco, United States About Us Whizz is transforming delivery services by being a reliable and affordable provider of electric bicycle solutions. Our vision is to provide the most affordable transportation in history. Our principles include caring for our customers and addressing any issues. With simplified sign-up and usage processes and affordable prices, we create an environment where riders earn more, stay safe, and strengthen their community connections. Whizz is already the #1 e-bike subscription provider for riders in the U.S. Your Role As a Team Leader, you will manage and support our sales team, promoting Whizz’s e-bike services to riders. You will train, mentor, and motivate the team to achieve ambitious sales targets while establishing Whizz in a brand-new market. Key Responsibilities: Sales: Identify potential clients, present and sell our e-bike solutions, and consistently meet weekly and monthly goals. Onboarding & Training: Deliver in-field training, mentor team members, and support continuous growth. Management & Coaching: Oversee daily operations, create schedules, and optimize sales processes. Reporting: Track sales performance, analyze data, and provide regular reports to management. Requirements Proven experience in active sales (field sales, cold calling, B2B or B2C). Understanding of immigrant communities (personal experience or strong connections). Results-oriented, proactive, and open to learning from mistakes. Comfortable working in a startup environment, adaptable and flexible. Strong communication and leadership skills to build and motivate a high-performing team. Experience running your own business is an asset. Familiarity with the delivery industry and the e-bike market is a plus. Legally authorized to work in U.S Benefits Competitive Pay: Base salary plus performance-based bonuses. Bonuses & Incentives: Rewards for both individual and team achievements. Comprehensive Training: Continuous support and professional development. Flexible Schedule: Approximately 20 hours per week with flexibility to manage tasks. Startup Culture: An opportunity to make an impact, implement ideas, and grow with the company. Supportive Environment: Work with a motivated and collaborative team.

Location: Stavanger, Norway Vi er EnerMech, et spesialistfirma som leverer sikre, integrerte løsninger for komplekse energiprosjekter. I over 50 år har vi gitt energi til våre kunder over hele verden med enestående ekspertise, utstyr og teknologi som støtter hele levetiden til eiendeler - både offshore og på land. Vi muliggjør fremgang gjennom våre tre globale forretningsområder: Energiløsninger, Infrastruktur- og Industrielle Løsninger og Løfteløsninger. Innen disse områdene tilbyr vi et bredt spekter av tjenester, inkludert kraner, løfting, hydraulikk, opplæring, utleie av utstyr, rørledninger og subsea, prosess og ventiler - alt designet for å hjelpe våre kunder med å optimalisere ytelse, forbedre pålitelighet og øke effektiviteten. Med fokus på operasjonell dyktighet, leverer vi verdi gjennom våre tilpassede integrerte løsninger. Denne tilnærmingen reduserer risiko og forbedrer effektiviteten, og gjør oss til en ledende og pålitelig partner hvert steg på veien. Rolle og Ansvar EnerMech søker å ansette en Offshore Kranmekaniker på fast basis for å bli med i vårt ad hoc flygende team med base i Norge. Som mekaniker vil du bli med i et team av mekanikere og også jobbe praktisk med vedlikehold og inspeksjon av kraner og løfteutstyr offshore. Andre arbeidsoppgaver og ansvar vil inkludere; ·       Service og vedlikeholdsaktiviteter på kraner og løfterelatert utstyr offshore ·       Reparasjoner og oppgraderinger ·       Årlig vedlikehold ·       Undersøkelse, feilsøking, inspeksjon og tilstandsrapportering Kravene For å lykkes i denne stillingen må du ha relevant faglig/sertifisert utdanning. For eksempel: maskiningeniør, industritekniker, bilmekaniker osv. Det er avgjerande at du har relevant erfaring frå servicearbeid på fartøy/offshore kraner. Du må ha ein sikkerheitsfokus og være flytande i norsk/engelsk, både skriftleg og munnleg. Eit offshore sikkerheitssertifikat og medisinsk attest er påkrevd for denne rollen. Mangfald & inkludering Hos EnerMech ønskjer vi å skape ein mangfaldig og inkluderande organisasjon og vekse saman for å bygge ein levande verksemd. Vi er ikkje der enno, men ønsket er fast, så vurder gjerne ei karriere hos oss i ein organisasjon der forskjellar i bakgrunn, kultur, utdanning, arbeidsmåte og mindre tydelege forskjellar blir respektert og feira.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Poland; Ukraine; Georgia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. What you will do - Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking. - Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions. - Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences. - Contribute to analytical planning and ensure alignment with overall business objectives. - Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value. - Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives. What you bring - Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing). - Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation. - Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). - Experience leading or mentoring analytics teams and coordinating with business stakeholders. - Excellent communication skills, able to translate between technical and business perspectives effectively. - Solid understanding of business processes and data structures. - Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value. - Fluency in English for meetings with international clients. Nice to have - Hands-on experience with deep learning, computer vision, or generative AI projects. - Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. - Experience with data visualization or BI tools for communicating insights. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About GalaxyOne: GalaxyOne is designed for individual investors who want the best of both traditional and digital markets. Its core offerings include competitive yield on cash deposits for U.S.-based individual investors and 8.00% yield through Galaxy Premium Yield for U.S. accredited investors, as well as seamless access to crypto and equities trading and the ability to reinvest earned interest into bitcoin or other supported crypto, all in one precision-built platform. GalaxyOne, backed by Galaxy Digital Inc (NASDAQ/TSX: GLXY), benefits from the firm's proven financial expertise, risk management and white-glove client service. Additional information about GalaxyOne is available at galaxy.app and you can learn even more here: " The Launch of GalaxyOne with Zac Prince " and " GalaxyOne on FOX Business ." Who You Are: This role is a Senior Back End Developer ( Lending/Commercial) for an exciting new business initiative at Galaxy. In this position, you’ll design, develop, and optimize robust, scalable software back end that powers our web and mobile applications for a new product offering. You will join a team of back-end developers, ensuring the reliability, security, and performance of our platforms while collaborating with front-end, product, and infrastructure teams. Your expertise will help drive the architecture of our product offerings, supporting Galaxy’s mission to innovate in the crypto economy. This role is office-based and candidates must be based in Mumbai, India , to qualify. What You’ll Do: Design, develop, and maintain high-performance back-end systems, APIs, and databases that support the business’s web and mobile applications. Help foster a culture of technical excellence, collaboration, and continuous learning. Collaborate with front-end developers, product managers, and DevOps teams to ensure seamless integration and delivery of features and services. Architect scalable, secure, and efficient server-side solutions that meet fintech industry standards and handle high transaction volumes. Implement best practices for code quality, testing, and deployment, including code reviews and automated testing frameworks. Stay current with emerging technologies and trends in back-end development, blockchain, and fintech to recommend innovative improvements. What We’re Looking For: Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience). 7+ years of experience in back-end development, with at least 2 years in a senior role. Hands-on development experience in Node, Express, TypeScript and related frameworks like Nest.js to build REST API's and other services. Strong experience with SQL and some exposure to NoSQL is nice to have. Experience with Microservices and Event based architecture. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) Experience in using Caching and Messaging Queues like Kafka. Experience using Postman and Git / Bitbucket. Bonus Points: Prior experience working in a startup, taking a product from zero to one. Experience in financial markets or brokerages. What We Offer: Competitive base salary and discretionary bonus Competitive paid time off Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching sessions through Headspace Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues *Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

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: Rome, Italy; Lisbon, Portugal; Berlin, Germany; Paris, France; Madrid, Spain Müller's Solutions is looking for an enthusiastic BMC Helix Support / Technical Support Analyst to join our remote team. In this vital role, you will deliver superior technical support to our clients using BMC Helix, assisting them with troubleshooting and resolving various technical challenges related to the software. This position requires a proactive approach in providing solutions while ensuring a high level of customer satisfaction. Key Responsibilities: Provide efficient first-level technical assistance to clients using BMC Helix, addressing and resolving inquiries promptly. Troubleshoot issues related to BMC Helix, including installation, configuration, and operational challenges. Guide clients through the implementation process, ensuring effective usage of the BMC Helix platform. Document technical problems and solutions systematically to build a robust knowledge base for future reference. Collaborate with product teams to communicate customer feedback and assist in routine software updates. Participate in training sessions and webinars to educate users on best practices within the BMC Helix environment. Contribute to process improvement initiatives that enhance customer support experiences. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or related discipline. Minimum of 2 years of technical support experience, ideally within a software or IT service environment. In-depth knowledge of BMC Helix and experience with ticketing systems. Strong analytical and troubleshooting skills, with attention to detail. Excellent verbal and written communication abilities to convey complex information clearly. Ability to work independently in a remote setup while managing efficiency and productivity. Customer-oriented mindset with a dedication to exceeding client expectations. Preferred Qualifications: Experience in ITIL frameworks or IT service management processes. Familiarity with other IT service management tools and methodologies. Prior experience in a remote technical support role. Relevant certifications in BMC Helix or IT support services are a plus. Capability to prioritize tasks effectively and work under minimal supervision.

Location: Rome, Italy; Lisbon, Portugal; Berlin, Germany; Paris, France; Madrid, Spain Müller's Solutions is looking for a talented BMC Helix Integration / Automation Specialist to join our dynamic team remotely. In this pivotal role, you will be tasked with creating and implementing automation solutions using BMC Helix integration tools. Your contributions will be essential in streamlining operations and enhancing client satisfaction through effective integration strategies. Key Responsibilities: Develop and implement integration solutions utilizing BMC Helix to facilitate smooth data exchanges across various applications. Create automation workflows aimed at improving operational efficiencies and reducing manual tasks. Engage with clients to understand their unique requirements and translate these into technical specifications for integration. Perform ongoing monitoring and troubleshooting of integration systems to ensure continuous improvement and reliability. Document and maintain detailed records of integration processes, workflows, and operational guidelines. Keep abreast of new features and best practices related to BMC Helix and integration technologies. Requirements Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related discipline. 3+ years of experience in integration or automation roles, specifically with BMC Helix. Comprehensive understanding of integration frameworks, methodologies, and tools. Proven experience in creating automation scripts and workflows. Proficiency in programming languages such as Python, Java, or equivalent. Familiarity with RESTful APIs, web services, and data exchange protocols. Strong analytical, troubleshooting, and problem-solving capabilities. Exceptional communication skills to collaborate effectively with clients and team members. A self-starter who can work independently and manage multiple tasks effectively in a remote setting. Experience with cloud services and platforms is advantageous.

Location: Rome, Italy; Lisbon, Portugal; Berlin, Germany; Paris, France; Madrid, Spain Müller's Solutions is looking for a talented BMC Helix Developer to join our dynamic team remotely. In this position, you will focus on the design, development, and enhancement of applications within the BMC Helix framework to address our clients' unique business challenges. Your expertise will drive the customization and optimization of Helix solutions, ensuring seamless integration and user experience. Key Responsibilities: Develop, configure, and maintain applications on the BMC Helix platform. Collaborate with business analysts to gather and translate requirements into functional solutions. Customize Helix functionalities to improve performance and user engagement. Conduct testing and debugging to ensure high-quality deliverables. Participate in code reviews and contribute to best practice discussions within the team. Document development processes and application designs for future reference. Keep up-to-date with the latest updates in BMC Helix and relevant technologies. Requirements Requirements: Bachelor's degree in Computer Science, Software Development, or a related discipline. Proven experience with BMC Helix or similar IT service management tools. Strong knowledge of programming languages such as Java, C#, or Python. Understanding of RESTful APIs and service-oriented architecture. Experience with database management systems, including SQL databases. Proficiency in version control systems like Git. Ability to work collaboratively in a remote team environment. Strong analytical skills with a problem-solving mindset. Preferred Qualifications: Certification in BMC Helix development or related IT certifications. Familiarity with Agile methodologies and DevOps practices. Experience in system performance tuning and optimization techniques. Excellent communication skills and the ability to interact with various stakeholders.

Location: Madrid, Spain; Paris, France; Berlin, Germany; Lisbon, Portugal; Rome, Italy As a BMC Helix Administrator (Remote) at Müller’s Solutions, you will play a vital role in maintaining and optimizing our BMC Helix environments. This remote position requires extensive knowledge of the BMC Helix platform, where you will be responsible for administering system configurations, managing user access, and ensuring high availability of our service management processes. You will collaborate with technical teams and stakeholders to implement best practices and streamline operations. Key Responsibilities: Administer BMC Helix applications, including workflows, dashboards, and reports, ensuring optimal performance and reliability. Monitor system health and performance, proactively identifying and resolving issues to minimize downtime. Provide technical support and training to end-users, facilitating the effective use of the platform. Manage system upgrades, patches, and configuration changes in collaboration with cross-functional teams. Document system configurations, maintenance procedures, and best practices for future reference. Analyze system functionalities and stakeholder needs to recommend enhancements and improvements. Stay up-to-date on BMC Helix developments and contribute to the continuous improvement of our IT service management solutions. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3-5 years of experience in administering BMC Helix or similar IT Service Management platforms. Strong knowledge of BMC Helix architecture, components, and administration. Experience with incident, problem, and change management workflows within BMC Helix. Excellent problem-solving skills and the ability to work independently in a remote setting. Strong communication skills to collaborate effectively with remote teams and stakeholders. BMC certifications or relevant training in ITSM are a plus. Preferred Qualifications: Familiarity with scripting languages for automation (e.g., Python, Ruby). Understanding of Agile methodologies and experience in an Agile environment. Experience with integration of BMC Helix with other enterprise applications. Proven ability to mentor and train junior staff. Proactive approach to system optimization and user support.

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. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling You may be a good fit if you: Have 5-10+ years of experience building software Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions Prefer fast-moving collaborative projects to extensive solo efforts Are curious about interpretability research and its role in AI safety (though no research experience is required!) Care about the societal impacts and ethics of your work Are comfortable working closely with researchers, translating research needs into engineering solutions. Strong candidates may also have experience with: Optimizing the performance of large-scale distributed systems Language modeling fundamentals with transformers High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges Representative Projects: Building Garcon , a tool that allows researchers to easily instrument LLMs to extract internal activations Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) Role Specific Location Policy: This role is based in the 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: $315,000 — $560,000 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.