{ "slug": "zyphra", "canonical_name": "Zyphra", "website": null, "ats": "ashby", "top_startup": true, "top_startup_sources": [ "cbinsights_unicorn" ], "total_active_jobs": 14, "verified_benefits": { "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "source_url": null, "verified_count": 0, "last_verified": null }, "awards": null, "jobs": [ { "id": "0940225c0be0a085f34d72bb0fb9f42f", "title": "GTM Engineer", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-19T18:15:32.930Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/02903b3d-21ec-4678-9cef-e3a10ea165e7", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "GTM Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a GTM Engineer , you will be a core builder on Zyphra's GTM team, responsible for designing, deploying, and continuously improving the AI-driven systems that power our go-to-market engine. This is not a traditional sales, sales ops or RevOps role. You will bring direct GTM domain expertise and deep, hands-on proficiency with modern AI tools and you'll use both to build infrastructure that creates lasting commercial leverage. The best candidates for this role have done the hard work of GTM: outbound strategy, customer segmentation, messaging, business development and have also built tangible applications with AI tools. You know where the manual work hides, and you know how to engineer it away. You'll Work Across: - Designing and deploying end-to-end AI-powered GTM workflows spanning prospecting, outreach, enrichment, qualification, and pipeline management - Building and owning the GTM tech stack with tools like Clay, n8n, HubSpot, and custom integrations, and architecting the systems that connect them - Developing and iterating customer segmentation models, ICP scoring frameworks, and signal-based targeting systems using enrichment data and AI - Rapid-prototyping new GTM motions, running structured experiments with real pipeline data, and scaling what works - Using Claude Code, Cursor, and other AI coding tools to build custom automations, scripts, and lightweight applications that accelerate GTM output - Partnering with sales, marketing, and business development to translate business needs into automated systems and measuring the", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "37bd27734eafc679bb5fa2b736743279", "title": "Principal Solutions Architect", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-19T18:08:23.487Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/66f09ab1-f816-4d5b-879e-bed779ddd279", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Principal Solutions Architect San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Principal Solutions Architect , you will serve as the primary technical authority in all partner and customer-facing engagements across Zyphra's full model portfolio and AI agent. You will articulate the technical value and differentiation of each of Zyphra's AI models and agentic systems, guide partners and customers from initial evaluation through successful integration, and act as the face of our research. This is not a support role. You will own the full technical GTM motion: building the narratives, converting strategic relationships, and supporting commercial outcomes. You will also be a critical voice feeding partner and customer intelligence back into Zyphra's research and product roadmap. The best candidates for this role think like researchers, communicate like an industry expert and have the credibility to operate at the highest levels of technical and executive conversation. You'll Work Across: - Serving as the primary technical advisor to strategic partners and customers across Zyphra's full AI model portfolio: including language, vision, audio, brain computer interface and agentic systems from initial discovery through deployment and expansion - Developing and delivering compelling technical narratives, demos, and evaluation frameworks that articulate the differentiation of each Zyphra model to audiences ranging from research teams and engineers to executives and business decision-makers - Leading technical discovery conversations with partners and customers to deeply understand their needs, use cases, and integration requirements, and translating those needs into", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "staff_plus", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "a4d2cd517157ca5376e3e66e2fe35284", "title": "Developer Relations Lead", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-19T18:02:53.811Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/2432117b-dfa8-4438-8564-589d8f28d28b", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Developer Relations Lead San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Developer Relations Lead , you will own the developer community that forms around Zyphra's open-source models and Zyphra's AI agent, Maia from the ground up. You will be the primary face of Zyphra to the global developer community, building and scaling our presence on GitHub, Discord, X, and at the industry events that matter most. This is not a content production role. You are a technically credible practitioner who is also a natural community builder: someone developers trust, follow, and build with. There is an early community already forming around Zyphra's models. Your job is to find it, accelerate it, structure it, and turn it into one of the most active open-source AI communities in the field. You will be a critical member of the GTM team and work in close collaboration with Zyphra's research, engineering, and product teams. You'll Work Across: - Owning the development, expansion, and moderation of Zyphra's developer community end-to-end across all public channels including Discord, GitHub, and Hugging Face while also growing our developer brand across X, LinkedIn, and other technical channels - Representing Zyphra at AI conferences, developer summits, open-source events, academic forums, and community meetups: speaking, demoing, and building relationships that expand our reach and credibility in the developer ecosystem - Driving GitHub adoption metrics across Zyphra's open-source model repositories: stars, forks, issues, pull requests, and active contributor velocity as", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 6, "years_experience_max": 10, "role_function": "marketing", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "0701e4121e0d23bbbd14a788746049fe", "title": "Research Engineer - Model Architectures", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-17T03:55:50.611Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/e509d439-ac21-4740-9989-38f385a37da4", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer - Model Architectures San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Model Architectures , you will be a core contributor to Zyphra's AI Architecture Research Team. This will involve designing and rigorously testing novel model architectures and training methodologies, with a focus on improving core modeling capabilities (e.g., loss per flop or loss per parameter) and addressing fundamental bottlenecks in contemporary models. You will also work extremely closely with our pre-training team, who will integrate your insights into our next-generation models. What We're Looking For / Requirements: - Strong research taste and intuition - The ability to work through a research project from conception to execution to write-up - Strong implementation and prototyping ability can take an idea from conception to experimentation extremely quickly - The ability to work well and cooperate with others in a high-paced research setting - Curiosity, interest, and joy in understanding intelligence. Qualifications / Additional Skills: - Previous experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative approaches to credit assignment - Experience with reinforcement learning, control theory, and signal processing - Generally, a joy in inventing and seriously assessing 'crazy' ideas, and the ability to have a unique perspective on things - Understanding of modern training pipelines and the hardware requirements to design efficient architectures for GPU hardware - Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing - High proficiency", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "cbcef8d98b8dd5b03ccad3b9ead6346b", "title": "Research Engineer - Agency and Reasoning", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-17T03:55:38.998Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/470057a3-171e-49e6-b236-25941e356bf1", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer - Agency and Reasoning San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Agency and Reasoning , you will be a core contributor to Zyphra's Agency and Reasoning Team. You will be involved with performing novel research in reinforcement learning, post-training, and human preference learning, and applying your ideas at scale to our next generation of language models. What We're Looking For / Requirements: - Strong research taste and intuition - The ability to work through a research project from conception to execution to write-up - Strong implementation and prototyping skillset - A researcher who can take an idea from conception to experimentation extremely quickly - The ability to work well and cooperate with others in a high-paced research setting - Curiosity, interest, and joy in understanding intelligence. Qualifications / Additional Skills: - Experience and aptitude with reinforcement learning, either in the context of language model reasoning or more classical RL tasks - Experience with language-model-supervised fine-tuning and preference-learning methods, such as DPO and simPO. - Experience with context-length extension methods - A good intuitive ability to understand model behaviors and correct them through iterative fine-tuning - Interest in grappling in detail with data and spending significant time involved in data engineering and synthetic data generation - Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics) - Previously published machine learning research in well-respected venues - Highly proficient with PyTorch and Python", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "e9adb6dc606df293dd7905c8343d3a11", "title": "Research Engineer - Language Model Pre-Training", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-17T03:55:27.674Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/3d3620c0-430b-4608-b804-4555459de720", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer - Language Model Pre-Training San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Language Model Pre-Training , you'll shape our language model roadmap through end-to-end pretraining development. You will work extremely closely with our pretraining team, who will integrate your insights into our next-generation models. You'll Work Across: - Large-scale training runs and model parallelization - Performance optimization of our pretraining stack - Dataset collection, processing, and evaluation - Architecture and methodology research, including optimizer ablations What We're Looking For / Requirements: - Strong engineering aptitude for rapidly implementing reliable and robust systems - Can rapidly learn new fields and are excited to implement new ideas - Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale Qualifications / Additional Skills: - Deep expertise and intuition for solving machine learning problems and training models - Experience with training on large-scale (multi-node) GPU clusters - Deep understanding of model training pipelines - including model/data parallelism, distributed optimizers, etc. - Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing - Understanding of large-scale, highly parallel data processing pipelines - High proficiency with PyTorch and Python. - Strong ability to dive into large pre-existing codebases and rapidly get up to speed - Published machine learning research in well-respected venues is a plus - Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics) Why", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "be494781b411ff4933f490a00205c01f", "title": "Research Engineer - Audio & Speech Models", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-17T03:55:11.762Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/23a55a60-0e7c-493d-859c-395c1ec4730e", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer - Audio & Speech Models San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra's Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. You will be deeply involved in the entire model training process, from data gathering and processing to designing novel architectures and training methodologies. You'll Work Across: - Large-scale audio training runs - Performance optimization of our training stack - Audio dataset collection, processing, and evaluation - Architecture and training methodology ablations and improvements What We're Looking For / Requirements: - Strong research taste and intuition. The ability to work through a research project from conception to execution to write-up. - Strong implementation and prototyping ability (can take an idea from conception to experimentation quickly) - The ability to work well with others in a high-paced research setting - Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale Qualifications / Additional Skills: - Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models - Experience in training audio autoencoders - Understanding of signal processing, especially of audio signals - Experience with diffusion models, consistency models, or GANs - Experience with training on large-scale (multi-node) GPU clusters - Strong grasp of proper experimental methodology for running rigorous ablations", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "6f51255d1d9558e62f3baefcf909fb29", "title": "Data Engineer - Multimodal Systems", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-17T03:54:44.048Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/21201263-16d1-4765-84a4-86408b25d02c", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Engineer - Multimodal Systems San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Data Engineer - Multimodal Systems , you will be a core contributor to creating, collecting, and improving Zyphra's datasets and data pipelines across a variety of modalities. Your work will intersect with almost every team at Zyphra. You will be involved in collecting large-scale datasets and implementing and optimizing highly parallel data pipelines. You'll Work Across: - Large-scale data collection across a variety of modalities (text, audio, image) - Designing and working with highly efficient, parallelized data processing pipelines across modalities - Designing and running rigorous experimental ablations to demonstrate the impact of new data improvements What We're Looking For / Requirements: - Strong implementation and prototyping ability - Can take an idea from conception to experimentation quickly - The ability to work well with others in a high-paced research setting - Can rapidly learn new fields and are excited to implement new ideas - Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale. Qualifications / Additional Skills: - Experience collecting, handling, and processing large datasets - Experience with parallel Python programming frameworks such as Dask - Understanding of the state-of-the-art in dataset curation across modalities - A generally meticulous nature and a strong interest in actually looking at data and sanity checking things - Strong grasp of proper experimental methodology for running rigorous ablations and other", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "363a18196d06a66f2680469cd76e3688", "title": "Platform Engineer", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-17T03:54:27.592Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/bc101ab7-0440-4795-9b84-6f7efd9430e3", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Platform Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Platform Engineer , you'll be responsible for designing and maintaining the systems that keep Zyphra's infrastructure robust, observable, secure, and scalable. Your work will be essential to ensuring the reliability and reproducibility of ML workloads, the safety and control of deployments, and the long-term maintainability of our compute environments. You'll Work Across: - Building and improving observability systems (monitoring, logging, alerting) - Managing Infrastructure as a Service across the stack along with CI/CD in close partnership with engineering teams - Designing resilient build and deployment systems across research and production environments - Implementing secure release processes with strong auditability and rollback support - Collaborating closely with ML engineers, DevOps, and infra teams to improve system reliability and performance - Leading incident response, root-cause analysis, and postmortems with a focus on learning and prevention - This role is ideal for someone who loves building systems that make other teams faster, safer, and more productive What We're Looking For / Requirements: - Experience in high-performance compute environments, such as ML clusters or GPU farms as well as hyperscaler cloud environments (i.e. AWS, GCP, etc.) - Background in infrastructure as code (i.e., Terraform, Ansible, etc.) - Familiarity with containers (i.e., Docker, Apptainer) and their integration with scheduling systems (i.e., Kubernetes, Slurm) - Familiarity with software release engineering for ML/AI systems is a plus - Experience managing run-books, DRP, change management, and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "f4be674234b13866228e3df09bb68e6b", "title": "Lead Frontend Engineer", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-17T03:54:14.074Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/b1a6f674-290c-4ed9-ad96-b34599186cd4", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Lead Frontend Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Lead Frontend Engineer , you'll lead the design and development of the user-facing side of our agentic system, shaping how users interact with AI across their desktop, browser, and filesystem. You'll work across interface design, component libraries, and frontend infrastructure to craft seamless, accessible, and intuitive user experiences. You'll work closely with engineers, ML researchers, and backend teams to bring intelligent agents to life in a way that's beautifully simple and deeply useful. You'll Work Across: - Design and development of browser-based and desktop interfaces - Building and maintaining component libraries and styling systems - Researching and refining user flows based on real-world usage and feedback - Prototyping and implementing UI features in collaboration with ML, backend, and systems teams - Making a complex AI product feel simple, accessible, and empowering for a wide range of users What We're Looking For / Requirements: - Strong frontend engineering skills with fluency in HTML, CSS, and JavaScript/TypeScript - Experience with modern frontend frameworks such as React - Demonstrated attention to UI detail and usability, with a user-first mindset - Ability to prototype and iterate quickly, both in code and with design tools like Figma - Experience designing and developing responsive, accessible, and high-performance interfaces - Strong intuition for HCI principles, accessibility, and visual clarity - Excellent collaboration and communication skills-especially with engineers, designers, and ML researchers Qualifications / Additional", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "767bebbc83cc000f3fe8c53694c16409", "title": "Full-Stack Software Engineer", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-17T03:53:59.303Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/578a092e-9b9a-4484-adf8-3b4707478588", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Full-Stack Software Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Full-Stack Software Engineer , you will be a core contributor to Zyphra's Agentic Systems and Interaction projects. You will be at the forefront of building a next-generation desktop and browser-based agent (end-to-end) that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans agentic orchestration, frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration. You'll Work Across: - Design and implementation of different agentic system designs capable of interacting with browsers, operating systems, enterprise filesystems, collaboration tools, etc. - Building search and retrieval pipelines across large-scale structured and unstructured data - Build the backend layer for RAG systems and other information context management systems required for agents to operate - Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making - What matters most is your drive to build production-grade software - We value velocity and curiosity, especially in fast-moving and ambiguous environments What We're Looking For / Requirements: - Proficiency in Python and a deep understanding of building and debugging complex end-to-end applications - Experience working with SaaS environment and production workloads, web interfaces, databases, search engines, and queuing systems - Experience developing browser extensions or automation tools with fine-grained control over the browser (mouse, tabs, DOM) - Understanding of LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning - Ability to", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "ec9d04376c742cf21669fe3ca39acfb1", "title": "AI Engineer", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-17T03:53:45.069Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/14b951a0-9c49-4550-887d-491e5170e20f", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a AI Engineer , you will be a core contributor to Zyphra's Agentic Systems and Interaction projects. You will be at the forefront of building a next-generation desktop and browser-based agent that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration. You'll Work Across: - Design and implementation of an agentic system capable of interacting with browsers, operating systems, and enterprise filesystems - Building search and retrieval pipelines across large-scale structured and unstructured data - Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making - Engineering secure virtualized runtimes and backend services for agent execution - What matters most is your drive to build production-grade ML systems that push the boundary of what software agents can do - We value velocity and curiosity, especially in fast-moving and ambiguous environments What We're Looking For / Requirements: - Proficiency in Python and a deep understanding of building and debugging complex ML-driven applications - Experience working with desktop operating systems (Windows and macOS), including APIs for screen reading, file interaction, and accessibility frameworks - Experience developing browser extensions or automation tools with fine-grained control over the browser (mouse, tabs, DOM) - Understanding of LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning - Ability to work across", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "b13e66eea72eec63f10138e673ffcc6f", "title": "Research Engineer - AI Performance & Kernel Optimization", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-16T22:54:23.569Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/c94162cf-d121-43cc-a17f-afb54ae000e8", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer - AI Performance & Kernel Optimization San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - AI Performance & Kernel Optimization , you will improve and optimize the performance of our large-scale language model training and inference stacks. You will work closely with our pretraining and inference teams to identify bottlenecks, design and implement highly optimized kernels, and push the limits of throughput, latency, and hardware utilization across a range of accelerator platforms. This role is suited for someone who enjoys deep systems work, cares about performance at every level of the stack, and is excited to translate low-level optimizations into meaningful gains for frontier-scale AI systems. You'll Work Across: - Kernel development and optimization for large-scale ML workloads, using any level of the stack from PTX/assembly to CUDA, HIP, Triton, or other GPU DSLs - Performance tuning for training and inference stacks across GPUs and other accelerators - Profiling and eliminating bottlenecks in memory movement, communication, scheduling, and compute utilization - Optimizing distributed training and inference systems for large MoE models, including large-scale model parallelism - Portability and optimization across non-NVIDIA hardware, with special interest in AMD hardware such as the MI300x and MI355x - Collaboration with research and infrastructure teams to turn systems improvements into real-world model training and inference gains What We're Looking For / Requirements: - Strong engineering aptitude for building reliable, high-performance systems - Excellent low-level performance intuition and the", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "f696b34744f0cc58c13ec7481cec388b", "title": "Research Engineer - Brain Computer Interface Models", "employer_name": "Zyphra", "employer_slug": "zyphra", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-16T22:39:31.857Z", "apply_url": "https://jobs.ashbyhq.com/zyphra/721f4487-6e5c-44f6-a039-480c104a630f", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer - Brain Computer Interface Models San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Brain Computer Interface Models , you will be a core contributor to Zyphra's BCI work, building the next generation of open-source EEG and brain-computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies. You'll Work Across: - Large-scale EEG model training runs and evaluation - Architecture and training methodology ablations and innovations - Dataset collection and preprocessing for EEG and other BCI modalities - Performance optimization of the training stack - Integration of models into real-world BCI applications What We're Looking For / Requirements: - Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module - Excellent communication and collaboration skills, with clean and concise coding practices - Strong implementation and prototyping skills, with comfort working across both research and engineering at scale - Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain - Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space - Proficiency with PyTorch and Python Qualifications / Additional Skills: - Experience with VAEs, GANs, diffusion models, and contrastive learning - Familiarity", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] } ], "json_ld": [ { "@context": "https://schema.org", "@type": "Organization", "name": "Zyphra", "url": "https://fewerjobs.com/employers/zyphra", "sameAs": [] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Zyphra open jobs", "itemListElement": [ { "@type": "ListItem", "position": 1, "url": "https://fewerjobs.com/jobs/zyphra/gtm-engineer-0940225c", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "GTM Engineer", "description": "

GTM Engineer at Zyphra - San Francisco, California, United States - GTM Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a GTM Engineer , you will be a core builder on Zyphra's GTM team, responsible for designing, deploying, and continuously improving the AI-driven systems that power our go-to-market engine. This is not a traditional sales, sales ops or RevOps role. You will bring direct GTM domain expertise and deep, hands-on proficiency with modern AI tools and you'll use both to build infrastructure that creates lasting commercial leverage. The best candidates for this role have done the hard work of GTM: outbound strategy, customer segmentation, messaging, business development and have also built tangible applications with AI tools. You know where the manual work hides, and you know how to engineer it away. You'll Work Across: - Designing and deploying end-to-end AI-powered GTM workflows spanning prospecting, outreach, enrichment, qualification, and pipeline management - Building and owning the GTM tech stack with tools like Clay, n8n, HubSpot, and custom integrations, and architecting the systems that connect them - Developing and iterating customer segmentation models, ICP scoring frameworks, and signal-based targeting systems using enrichment data and AI - Rapid-prototyping new GTM motions, running structured experiments with real pipeline data, and scaling what works - Using Claude Code, Cursor, and other AI coding tools to build custom automations, scripts, and lightweight applications that accelerate GTM output - Partnering with sales, marketing, and business development to translate business needs into automated systems and measuring the

", "datePosted": "2026-03-19T18:15:32.930Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "0940225c0be0a085f34d72bb0fb9f42f" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/gtm-engineer-0940225c" } }, { "@type": "ListItem", "position": 2, "url": "https://fewerjobs.com/jobs/zyphra/principal-solutions-architect-37bd2773", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Principal Solutions Architect", "description": "

Principal Solutions Architect at Zyphra - San Francisco, California, United States - Principal Solutions Architect San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Principal Solutions Architect , you will serve as the primary technical authority in all partner and customer-facing engagements across Zyphra's full model portfolio and AI agent. You will articulate the technical value and differentiation of each of Zyphra's AI models and agentic systems, guide partners and customers from initial evaluation through successful integration, and act as the face of our research. This is not a support role. You will own the full technical GTM motion: building the narratives, converting strategic relationships, and supporting commercial outcomes. You will also be a critical voice feeding partner and customer intelligence back into Zyphra's research and product roadmap. The best candidates for this role think like researchers, communicate like an industry expert and have the credibility to operate at the highest levels of technical and executive conversation. You'll Work Across: - Serving as the primary technical advisor to strategic partners and customers across Zyphra's full AI model portfolio: including language, vision, audio, brain computer interface and agentic systems from initial discovery through deployment and expansion - Developing and delivering compelling technical narratives, demos, and evaluation frameworks that articulate the differentiation of each Zyphra model to audiences ranging from research teams and engineers to executives and business decision-makers - Leading technical discovery conversations with partners and customers to deeply understand their needs, use cases, and integration requirements, and translating those needs into

", "datePosted": "2026-03-19T18:08:23.487Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "37bd27734eafc679bb5fa2b736743279" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/zyphra/principal-solutions-architect-37bd2773" } }, { "@type": "ListItem", "position": 3, "url": "https://fewerjobs.com/jobs/zyphra/developer-relations-lead-a4d2cd51", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Developer Relations Lead", "description": "

Developer Relations Lead at Zyphra - San Francisco, California, United States - Developer Relations Lead San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Developer Relations Lead , you will own the developer community that forms around Zyphra's open-source models and Zyphra's AI agent, Maia from the ground up. You will be the primary face of Zyphra to the global developer community, building and scaling our presence on GitHub, Discord, X, and at the industry events that matter most. This is not a content production role. You are a technically credible practitioner who is also a natural community builder: someone developers trust, follow, and build with. There is an early community already forming around Zyphra's models. Your job is to find it, accelerate it, structure it, and turn it into one of the most active open-source AI communities in the field. You will be a critical member of the GTM team and work in close collaboration with Zyphra's research, engineering, and product teams. You'll Work Across: - Owning the development, expansion, and moderation of Zyphra's developer community end-to-end across all public channels including Discord, GitHub, and Hugging Face while also growing our developer brand across X, LinkedIn, and other technical channels - Representing Zyphra at AI conferences, developer summits, open-source events, academic forums, and community meetups: speaking, demoing, and building relationships that expand our reach and credibility in the developer ecosystem - Driving GitHub adoption metrics across Zyphra's open-source model repositories: stars, forks, issues, pull requests, and active contributor velocity as

", "datePosted": "2026-03-19T18:02:53.811Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "a4d2cd517157ca5376e3e66e2fe35284" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 72 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/developer-relations-lead-a4d2cd51" } }, { "@type": "ListItem", "position": 4, "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-model-architectures-0701e412", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Research Engineer - Model Architectures", "description": "

Research Engineer - Model Architectures at Zyphra - San Francisco, California, United States - Research Engineer - Model Architectures San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Model Architectures , you will be a core contributor to Zyphra's AI Architecture Research Team. This will involve designing and rigorously testing novel model architectures and training methodologies, with a focus on improving core modeling capabilities (e.g., loss per flop or loss per parameter) and addressing fundamental bottlenecks in contemporary models. You will also work extremely closely with our pre-training team, who will integrate your insights into our next-generation models. What We're Looking For / Requirements: - Strong research taste and intuition - The ability to work through a research project from conception to execution to write-up - Strong implementation and prototyping ability can take an idea from conception to experimentation extremely quickly - The ability to work well and cooperate with others in a high-paced research setting - Curiosity, interest, and joy in understanding intelligence. Qualifications / Additional Skills: - Previous experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative approaches to credit assignment - Experience with reinforcement learning, control theory, and signal processing - Generally, a joy in inventing and seriously assessing 'crazy' ideas, and the ability to have a unique perspective on things - Understanding of modern training pipelines and the hardware requirements to design efficient architectures for GPU hardware - Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing - High proficiency

", "datePosted": "2026-03-17T03:55:50.611Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "0701e4121e0d23bbbd14a788746049fe" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-model-architectures-0701e412" } }, { "@type": "ListItem", "position": 5, "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-agency-and-reasoning-cbcef8d9", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Research Engineer - Agency and Reasoning", "description": "

Research Engineer - Agency and Reasoning at Zyphra - San Francisco, California, United States - Research Engineer - Agency and Reasoning San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Agency and Reasoning , you will be a core contributor to Zyphra's Agency and Reasoning Team. You will be involved with performing novel research in reinforcement learning, post-training, and human preference learning, and applying your ideas at scale to our next generation of language models. What We're Looking For / Requirements: - Strong research taste and intuition - The ability to work through a research project from conception to execution to write-up - Strong implementation and prototyping skillset - A researcher who can take an idea from conception to experimentation extremely quickly - The ability to work well and cooperate with others in a high-paced research setting - Curiosity, interest, and joy in understanding intelligence. Qualifications / Additional Skills: - Experience and aptitude with reinforcement learning, either in the context of language model reasoning or more classical RL tasks - Experience with language-model-supervised fine-tuning and preference-learning methods, such as DPO and simPO. - Experience with context-length extension methods - A good intuitive ability to understand model behaviors and correct them through iterative fine-tuning - Interest in grappling in detail with data and spending significant time involved in data engineering and synthetic data generation - Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics) - Previously published machine learning research in well-respected venues - Highly proficient with PyTorch and Python

", "datePosted": "2026-03-17T03:55:38.998Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "cbcef8d98b8dd5b03ccad3b9ead6346b" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-agency-and-reasoning-cbcef8d9" } }, { "@type": "ListItem", "position": 6, "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-language-model-pre-training-e9adb6dc", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Research Engineer - Language Model Pre-Training", "description": "

Research Engineer - Language Model Pre-Training at Zyphra - San Francisco, California, United States - Research Engineer - Language Model Pre-Training San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Language Model Pre-Training , you'll shape our language model roadmap through end-to-end pretraining development. You will work extremely closely with our pretraining team, who will integrate your insights into our next-generation models. You'll Work Across: - Large-scale training runs and model parallelization - Performance optimization of our pretraining stack - Dataset collection, processing, and evaluation - Architecture and methodology research, including optimizer ablations What We're Looking For / Requirements: - Strong engineering aptitude for rapidly implementing reliable and robust systems - Can rapidly learn new fields and are excited to implement new ideas - Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale Qualifications / Additional Skills: - Deep expertise and intuition for solving machine learning problems and training models - Experience with training on large-scale (multi-node) GPU clusters - Deep understanding of model training pipelines - including model/data parallelism, distributed optimizers, etc. - Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing - Understanding of large-scale, highly parallel data processing pipelines - High proficiency with PyTorch and Python. - Strong ability to dive into large pre-existing codebases and rapidly get up to speed - Published machine learning research in well-respected venues is a plus - Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics) Why

", "datePosted": "2026-03-17T03:55:27.674Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "e9adb6dc606df293dd7905c8343d3a11" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-language-model-pre-training-e9adb6dc" } }, { "@type": "ListItem", "position": 7, "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-audio-and-speech-models-be494781", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Research Engineer - Audio & Speech Models", "description": "

Research Engineer - Audio & Speech Models at Zyphra - San Francisco, California, United States - Research Engineer - Audio & Speech Models San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra's Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. You will be deeply involved in the entire model training process, from data gathering and processing to designing novel architectures and training methodologies. You'll Work Across: - Large-scale audio training runs - Performance optimization of our training stack - Audio dataset collection, processing, and evaluation - Architecture and training methodology ablations and improvements What We're Looking For / Requirements: - Strong research taste and intuition. The ability to work through a research project from conception to execution to write-up. - Strong implementation and prototyping ability (can take an idea from conception to experimentation quickly) - The ability to work well with others in a high-paced research setting - Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale Qualifications / Additional Skills: - Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models - Experience in training audio autoencoders - Understanding of signal processing, especially of audio signals - Experience with diffusion models, consistency models, or GANs - Experience with training on large-scale (multi-node) GPU clusters - Strong grasp of proper experimental methodology for running rigorous ablations

", "datePosted": "2026-03-17T03:55:11.762Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "be494781b411ff4933f490a00205c01f" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-audio-and-speech-models-be494781" } }, { "@type": "ListItem", "position": 8, "url": "https://fewerjobs.com/jobs/zyphra/data-engineer-multimodal-systems-6f51255d", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Data Engineer - Multimodal Systems", "description": "

Data Engineer - Multimodal Systems at Zyphra - San Francisco, California, United States - Data Engineer - Multimodal Systems San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Data Engineer - Multimodal Systems , you will be a core contributor to creating, collecting, and improving Zyphra's datasets and data pipelines across a variety of modalities. Your work will intersect with almost every team at Zyphra. You will be involved in collecting large-scale datasets and implementing and optimizing highly parallel data pipelines. You'll Work Across: - Large-scale data collection across a variety of modalities (text, audio, image) - Designing and working with highly efficient, parallelized data processing pipelines across modalities - Designing and running rigorous experimental ablations to demonstrate the impact of new data improvements What We're Looking For / Requirements: - Strong implementation and prototyping ability - Can take an idea from conception to experimentation quickly - The ability to work well with others in a high-paced research setting - Can rapidly learn new fields and are excited to implement new ideas - Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale. Qualifications / Additional Skills: - Experience collecting, handling, and processing large datasets - Experience with parallel Python programming frameworks such as Dask - Understanding of the state-of-the-art in dataset curation across modalities - A generally meticulous nature and a strong interest in actually looking at data and sanity checking things - Strong grasp of proper experimental methodology for running rigorous ablations and other

", "datePosted": "2026-03-17T03:54:44.048Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "6f51255d1d9558e62f3baefcf909fb29" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/data-engineer-multimodal-systems-6f51255d" } }, { "@type": "ListItem", "position": 9, "url": "https://fewerjobs.com/jobs/zyphra/platform-engineer-363a1819", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Platform Engineer", "description": "

Platform Engineer at Zyphra - San Francisco, California, United States - Platform Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Platform Engineer , you'll be responsible for designing and maintaining the systems that keep Zyphra's infrastructure robust, observable, secure, and scalable. Your work will be essential to ensuring the reliability and reproducibility of ML workloads, the safety and control of deployments, and the long-term maintainability of our compute environments. You'll Work Across: - Building and improving observability systems (monitoring, logging, alerting) - Managing Infrastructure as a Service across the stack along with CI/CD in close partnership with engineering teams - Designing resilient build and deployment systems across research and production environments - Implementing secure release processes with strong auditability and rollback support - Collaborating closely with ML engineers, DevOps, and infra teams to improve system reliability and performance - Leading incident response, root-cause analysis, and postmortems with a focus on learning and prevention - This role is ideal for someone who loves building systems that make other teams faster, safer, and more productive What We're Looking For / Requirements: - Experience in high-performance compute environments, such as ML clusters or GPU farms as well as hyperscaler cloud environments (i.e. AWS, GCP, etc.) - Background in infrastructure as code (i.e., Terraform, Ansible, etc.) - Familiarity with containers (i.e., Docker, Apptainer) and their integration with scheduling systems (i.e., Kubernetes, Slurm) - Familiarity with software release engineering for ML/AI systems is a plus - Experience managing run-books, DRP, change management, and

", "datePosted": "2026-03-17T03:54:27.592Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "363a18196d06a66f2680469cd76e3688" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/platform-engineer-363a1819" } }, { "@type": "ListItem", "position": 10, "url": "https://fewerjobs.com/jobs/zyphra/lead-frontend-engineer-f4be6742", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Lead Frontend Engineer", "description": "

Lead Frontend Engineer at Zyphra - San Francisco, California, United States - Lead Frontend Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Lead Frontend Engineer , you'll lead the design and development of the user-facing side of our agentic system, shaping how users interact with AI across their desktop, browser, and filesystem. You'll work across interface design, component libraries, and frontend infrastructure to craft seamless, accessible, and intuitive user experiences. You'll work closely with engineers, ML researchers, and backend teams to bring intelligent agents to life in a way that's beautifully simple and deeply useful. You'll Work Across: - Design and development of browser-based and desktop interfaces - Building and maintaining component libraries and styling systems - Researching and refining user flows based on real-world usage and feedback - Prototyping and implementing UI features in collaboration with ML, backend, and systems teams - Making a complex AI product feel simple, accessible, and empowering for a wide range of users What We're Looking For / Requirements: - Strong frontend engineering skills with fluency in HTML, CSS, and JavaScript/TypeScript - Experience with modern frontend frameworks such as React - Demonstrated attention to UI detail and usability, with a user-first mindset - Ability to prototype and iterate quickly, both in code and with design tools like Figma - Experience designing and developing responsive, accessible, and high-performance interfaces - Strong intuition for HCI principles, accessibility, and visual clarity - Excellent collaboration and communication skills-especially with engineers, designers, and ML researchers Qualifications / Additional

", "datePosted": "2026-03-17T03:54:14.074Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "f4be674234b13866228e3df09bb68e6b" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/lead-frontend-engineer-f4be6742" } }, { "@type": "ListItem", "position": 11, "url": "https://fewerjobs.com/jobs/zyphra/full-stack-software-engineer-767bebbc", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Full-Stack Software Engineer", "description": "

Full-Stack Software Engineer at Zyphra - San Francisco, California, United States - Full-Stack Software Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Full-Stack Software Engineer , you will be a core contributor to Zyphra's Agentic Systems and Interaction projects. You will be at the forefront of building a next-generation desktop and browser-based agent (end-to-end) that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans agentic orchestration, frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration. You'll Work Across: - Design and implementation of different agentic system designs capable of interacting with browsers, operating systems, enterprise filesystems, collaboration tools, etc. - Building search and retrieval pipelines across large-scale structured and unstructured data - Build the backend layer for RAG systems and other information context management systems required for agents to operate - Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making - What matters most is your drive to build production-grade software - We value velocity and curiosity, especially in fast-moving and ambiguous environments What We're Looking For / Requirements: - Proficiency in Python and a deep understanding of building and debugging complex end-to-end applications - Experience working with SaaS environment and production workloads, web interfaces, databases, search engines, and queuing systems - Experience developing browser extensions or automation tools with fine-grained control over the browser (mouse, tabs, DOM) - Understanding of LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning - Ability to

", "datePosted": "2026-03-17T03:53:59.303Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "767bebbc83cc000f3fe8c53694c16409" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/full-stack-software-engineer-767bebbc" } }, { "@type": "ListItem", "position": 12, "url": "https://fewerjobs.com/jobs/zyphra/ai-engineer-ec9d0437", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "AI Engineer", "description": "

AI Engineer at Zyphra - San Francisco, California, United States - AI Engineer San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a AI Engineer , you will be a core contributor to Zyphra's Agentic Systems and Interaction projects. You will be at the forefront of building a next-generation desktop and browser-based agent that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration. You'll Work Across: - Design and implementation of an agentic system capable of interacting with browsers, operating systems, and enterprise filesystems - Building search and retrieval pipelines across large-scale structured and unstructured data - Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making - Engineering secure virtualized runtimes and backend services for agent execution - What matters most is your drive to build production-grade ML systems that push the boundary of what software agents can do - We value velocity and curiosity, especially in fast-moving and ambiguous environments What We're Looking For / Requirements: - Proficiency in Python and a deep understanding of building and debugging complex ML-driven applications - Experience working with desktop operating systems (Windows and macOS), including APIs for screen reading, file interaction, and accessibility frameworks - Experience developing browser extensions or automation tools with fine-grained control over the browser (mouse, tabs, DOM) - Understanding of LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning - Ability to work across

", "datePosted": "2026-03-17T03:53:45.069Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "ec9d04376c742cf21669fe3ca39acfb1" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/ai-engineer-ec9d0437" } }, { "@type": "ListItem", "position": 13, "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-ai-performance-and-kernel-optimization-b13e66ee", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Research Engineer - AI Performance & Kernel Optimization", "description": "

Research Engineer - AI Performance & Kernel Optimization at Zyphra - San Francisco, California, United States - Research Engineer - AI Performance & Kernel Optimization San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - AI Performance & Kernel Optimization , you will improve and optimize the performance of our large-scale language model training and inference stacks. You will work closely with our pretraining and inference teams to identify bottlenecks, design and implement highly optimized kernels, and push the limits of throughput, latency, and hardware utilization across a range of accelerator platforms. This role is suited for someone who enjoys deep systems work, cares about performance at every level of the stack, and is excited to translate low-level optimizations into meaningful gains for frontier-scale AI systems. You'll Work Across: - Kernel development and optimization for large-scale ML workloads, using any level of the stack from PTX/assembly to CUDA, HIP, Triton, or other GPU DSLs - Performance tuning for training and inference stacks across GPUs and other accelerators - Profiling and eliminating bottlenecks in memory movement, communication, scheduling, and compute utilization - Optimizing distributed training and inference systems for large MoE models, including large-scale model parallelism - Portability and optimization across non-NVIDIA hardware, with special interest in AMD hardware such as the MI300x and MI355x - Collaboration with research and infrastructure teams to turn systems improvements into real-world model training and inference gains What We're Looking For / Requirements: - Strong engineering aptitude for building reliable, high-performance systems - Excellent low-level performance intuition and the

", "datePosted": "2026-03-16T22:54:23.569Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "b13e66eea72eec63f10138e673ffcc6f" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-ai-performance-and-kernel-optimization-b13e66ee" } }, { "@type": "ListItem", "position": 14, "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-brain-computer-interface-models-f696b347", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Research Engineer - Brain Computer Interface Models", "description": "

Research Engineer - Brain Computer Interface Models at Zyphra - San Francisco, California, United States - Research Engineer - Brain Computer Interface Models San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Brain Computer Interface Models , you will be a core contributor to Zyphra's BCI work, building the next generation of open-source EEG and brain-computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies. You'll Work Across: - Large-scale EEG model training runs and evaluation - Architecture and training methodology ablations and innovations - Dataset collection and preprocessing for EEG and other BCI modalities - Performance optimization of the training stack - Integration of models into real-world BCI applications What We're Looking For / Requirements: - Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module - Excellent communication and collaboration skills, with clean and concise coding practices - Strong implementation and prototyping skills, with comfort working across both research and engineering at scale - Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain - Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space - Proficiency with PyTorch and Python Qualifications / Additional Skills: - Experience with VAEs, GANs, diffusion models, and contrastive learning - Familiarity

", "datePosted": "2026-03-16T22:39:31.857Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zyphra", "value": "f696b34744f0cc58c13ec7481cec388b" }, "hiringOrganization": { "@type": "Organization", "name": "Zyphra" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zyphra/research-engineer-brain-computer-interface-models-f696b347" } } ] } ] }