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POSITION SUMMARY: Responsible, as part of the Nursing Professional Development team, for the orientation, continued learning, educational counseling and competency of the Patient Care Services (PCS) staff at The Valley Hospital and its affiliates. Interacts with PCS staff and managerial levels of personnel to identify, plan, implement and evaluate educational programs which correlate with the goals and objectives of PCS and those of the Valley Health System. EDUCATION: Registered Nurse, currently licensed in New Jersey. Masters degree required. EXPERIENCE: Minimum 5 years clinical experience and prior experience in teaching the adult learner. SPECIAL SKILLS: National Nursing Certification required (any specialty). Magnet recognized. Job Location The Valley Health System-Ridgewood Shift Day (United States of America) Benefits • Medical/Prescription, Dental & Vision Discount Program (Full Time/Part Time Employees), • Group Term Life Insurance and AD&D(Full Time Employees), • Flexible Spending Accounts and Commuter Benefit Plans, • Supplemental Voluntary Benefits ( e.g. Short-term and Long-term Disability, Whole Life Insurance, Legal Support, etc.), • 6 Paid Holidays, Paid Time Off (varies), Wellness Time Off, Extended Illness, • Retirement Plan, • Tuition Assistance, • Employee Assistance Program (EAP), • Valley Health LifeStyles Fitness Center Membership Discount, • Day Care Discounts for Various Daycare Facilities Salary Joining Valley Health System means becoming part of a dedicated team that values the highest quality of care in a supportive environment. In our commitment to high performance and reliability, we encourage and recognize exceptional individual performance through our industry leading compensation practices including a starting salary and benefits in accordance with your role, experience, education, and licensure. Actual individual salaries vary depending on these factors. The salary listed does not include other forms of compensation or benefits. Pay Range: $55.34 - $69.17 (per hour) EEO Statement Valley Health System does not discriminate on the basis of ancestry, age, atypical hereditary cellular or blood trait, civil union status, color, creed, disability, domestic partnership, gender, gender identity or expression, familial status, genetic information, liability for service in the Armed Forces of the United States, marital status, medical condition or illness, mental or physical handicap, national origin, nationality, perceived disability, pregnancy, race, refusal to submit to genetic testing or make available results of such tests, religion, sex, sexual orientation, veteran’s status or any other protected basis, in accordance with all applicable Federal, State and Local laws. This applies to all areas of employment, including recruitment, hiring, training and development, promotion, transfer, termination, layoff, compensation, benefits, social and recreational programs, and all other conditions and privileges of employment.

Job Description Our organization’s Northern Department of Cardiothoracic Surgery is in search of a dedicated Heart Transplant & Cardiothoracic Surgeon to join the team at Newark Beth Israel Medical Center. As the largest healthcare provider in New Jersey, we are looking for an exceptionally qualified Heart Transplant & Cardiothoracic Surgeon to become part of the Heart Failure and Transplant Program at Newark Beth Israel Medical Center (NBIMC). This role involves delivering comprehensive surgical care across the entire range of adult cardiothoracic surgery, while also acting as a pivotal operative leader in heart transplantation and mechanical circulatory support (MCS). The ideal applicant will have completed a fellowship in cardiothoracic surgery, with specialized knowledge in heart transplantation, ventricular assist devices (VAD), and intricate cardiac procedures. In this clinical role, the surgeon will conduct heart transplant surgeries, engage in donor procurement, and oversee both temporary and durable MCS (LVAD/RVAD/ECMO), while also contributing to the expansion of advanced cardiac surgical services throughout our Northern affiliates. As part of the largest integrated healthcare system in New Jersey, our organization and the program at Newark Beth Israel Medical Center provide a competitive salary and an extensive benefits package, which includes health, life, disability, and malpractice insurance, a 401k/retirement plan, as well as paid time off (PTO) and additional time off for continuing medical education (CME). The position is located in highly sought-after areas featuring excellent schools, picturesque suburban communities, and convenient access to New York City, Philadelphia, and the Jersey Shore. The expected salary range for this role is between $550,000 and $700,000. The final compensation for the selected candidate will be influenced by various factors, including educational qualifications, skills, and professional experience. For more information about this position and other opportunities available throughout New Jersey, please reach out to us. About Newark Beth Israel Medical Center: Founded in 1901, Newark Beth Israel Medical Center is a 665-bed quaternary care teaching hospital that offers extensive healthcare services to the community. With a team of over 800 physicians, 3,200 employees, and 150 volunteers, we are committed to delivering high-quality care to you and your family. Newark Beth Israel is recognized as one of the nation’s ten largest heart transplant centers, housing RWJBarnabas Health’s Heart Failure Treatment and Transplant Program, New Jersey’s sole Advanced Lung Disease and Transplant Program, and a Valve Center that performs the highest number of cardiac valve procedures, including minimally invasive transcatheter aortic valve replacements (TAVRs), in the state. Our medical center boasts the most comprehensive robotic surgery center in New Jersey and was the first in the state to establish an accredited sleep disorders center. The Frederick B. Cohen, MD, Cancer and Blood Disorders Center and the Healthcare Foundation of New Jersey Breast Health Center ensure seamless integration of cancer prevention, specialized care, and treatment options. Newark Beth Israel is well-known for its numerous preventive health initiatives that foster community wellness. As part of RWJBarnabas Health, the largest healthcare delivery system in the state, we have access to cutting-edge technology and a diverse array of medical specialists. About RWJBarnabas Health: RWJBarnabas Health represents the most extensive healthcare delivery system in New Jersey, serving over 3 million patients annually. The system comprises eleven acute care hospitals, including Clara Maass Medical Center in Belleville, Community Medical Center in Toms River, Jersey City Medical Center in Jersey City, Monmouth Medical Center in Long Branch, Monmouth Medical Center Southern Campus in Lakewood, Newark Beth Israel Medical Center in Newark, RWJUH in New Brunswick and Somerville, RWJUH-Hamilton, RWJUH-Rahway, and Saint Barnabas Medical Center in Livingston; three acute care children’s hospitals, a leading pediatric rehabilitation facility (Children’s Specialized Hospital), a standalone 100-bed behavioral health center, ambulatory care centers, geriatric centers, the state’s largest behavioral health network, comprehensive home care and hospice services, fitness and wellness centers, retail pharmacy services, a medical group, multi-site imaging centers, and four accountable care organizations. RWJBarnabas Health is New Jersey’s second-largest private employer, with over 32,000 employees, 9,000 physicians, and 1,000 residents and interns, consistently earning national accolades for its exceptional quality and safety.

Job Description Our organization is in search of a highly qualified and experienced Board-Certified Cardiothoracic Surgeon to become part of our esteemed St. Francis Hospital and Heart Center (SFH) located in Roslyn, NY. This full-time role is situated within one of the premier cardiac facilities in the nation. The ideal applicant will possess advanced skills in cardiothoracic and vascular surgical techniques, emphasizing innovative technologies and minimally invasive methods, including advanced coronary revascularization and robotic capabilities. Hospital Overview St. Francis Hospital, affiliated with our organization, is recognized both nationally and regionally for its outstanding cardiac care. The facility provides a wide array of services, such as structural heart programs, advanced imaging, genetic testing, and both surgical and nonsurgical interventions for heart conditions. Hospital Accolades and Rankings St. Francis Hospital has received numerous awards and rankings that highlight its dedication to excellence in cardiovascular care and overall hospital performance. Accreditations and Ratings • STS 3-Star Rated Programs: SFH is proud to have STS (Society of Thoracic Surgeons) 3-star rated programs in cardiac surgery and structural heart procedures, reflecting exceptional outcomes and quality of care., • Leapfrog "A" Rating: For five consecutive years, SFH has achieved the highest safety rating of "A" from the Leapfrog Group, showcasing our commitment to patient safety, quality, and transparency., • Magnet Designation: SFH has been awarded Magnet Designation for Nursing Excellence for five years in a row, indicating a high level of nursing professionalism, teamwork, and superior patient care.US News & World Report Rankings, • Conduct complex cardiothoracic surgical procedures, focusing on cardiac surgery (75%) and general thoracic surgery (25%)., • Employ advanced technologies, including minimally invasive robotic thoracic procedures, surgical treatment of atrial fibrillation, and lead TAVR and other structural heart programs., • Collaborate with a high-volume, experienced team to ensure exceptional patient care., • Engage in the development and enhancement of cardiac care programs and initiatives., • Provide mentorship and education to residents, fellows, and medical staff., • Potential for leadership roles at the hospital or system level, including Director and Chairperson positions, based on qualifications.Requirements, • Board certification in Cardiothoracic Surgery., • Completion of a fellowship in Cardiothoracic Surgery, preferably with a focus on Structural Cardiac Interventional Fellowship., • Expertise in advanced surgical techniques, including robotic-assisted procedures., • Experience and enthusiasm for program development and innovation., • A comprehensive benefits package that includes various medical plans, life insurance, generous paid time off, and flexible spending accounts., • Tuition reimbursement, an employer-funded pension plan, and multiple savings plan options for future financial security., • Opportunities for professional growth and career advancement within a dynamic healthcare system. This range is a good faith estimate; actual compensation will depend on various factors, including education, training, skills, licensure, certification, competencies, and other relevant experience. The listed salary range does not include bonuses, incentive pay, or other forms of compensation that may apply, nor does it account for the value of benefits. About Our Organization We are a fully integrated health system serving Long Island, NY, with six hospitals, long-term care facilities, home care and hospice services, and programs for individuals with developmental disabilities. With over 17,000 employees, we are committed to employee well-being and work-life balance, offering a supportive and rewarding work environment. Join our team at SFH and help uphold the legacy of excellence in cardiovascular care at one of the nation's leading cardiac centers. We look forward to welcoming a talented and dedicated Cardiothoracic Surgeon to our team.

Job DescriptionOverview Our organization stands as a premier national platform dedicated to women's healthcare, boasting over 900 affiliated practices and 2,500 healthcare providers across 22 states. Currently, our partner in New York, a medical group focused on women's health, is in search of a Full-Time OBGYN physician to join their team at Premier Women’s Health. With facilities located in Manhasset and Woodbury, this group comprises committed specialists offering a comprehensive array of services in women's health, including gynecologic and obstetric care, as well as support during menopause. Position Highlights: • Collaborate with a team of 8 OBGYN physicians and 1 Nurse Practitioner, • Manage a patient load of 20-30 individuals daily, • Enjoy a 4-day work week, • Participate in a favorable on-call schedule: 1 weekday call per week and 1:9 weekend call, • Hold hospital privileges at North Shore University Hospital, • Work across two office locations in Manhasset and Woodbury, just 15 minutes apart, • Provide full-spectrum women’s health services, including low- and high-risk obstetrics, minimally invasive gynecologic surgery, and in-office procedures, • Receive built-in mentorship, • Join a physician-led private group with a partnership track available in year 4, • Experience a family-oriented environment with a strong emphasis on work-life balanceBenefits Highlights:, • Attractive salary with a signing bonus, • 3 weeks of vacation time, • Continuing Medical Education (CME) allowance, • Comprehensive health, dental, and vision insurance, • 401(k) retirement plan As a physician within our network, you will benefit from being part of a large national women’s healthcare organization while retaining the autonomy of clinical governance and decision-making exclusively within the hands of physicians. We are dedicated advocates for the Ob-Gyn medical affiliates in our network, enhancing the business aspects of medicine so that they can concentrate on patient care. Our support includes innovation, expansion, training, and additional resources for practice enhancement. Our medical affiliate maintains a drug-free workplace and is an Equal Opportunity Employer. #LI-Onsite Compensation Minimum Salary: USD $200,000.00 per year Maximum Salary: USD $220,000.00 per year

Job DescriptionOverview Our organization stands as a premier national platform dedicated to women's healthcare. We are currently in search of a Full-Time OB/GYN to join our expanding practice located in the picturesque community of Warren, New Jersey. We are actively looking for a committed and empathetic Board-Certified or Board-Eligible OB/GYN Physician to become part of our well-established and flourishing private practice situated in a serene, family-oriented environment. Both residents and experienced practitioners are encouraged to apply! Position Highlights • Flexible Scheduling: Achieve a healthy work-life balance with a customizable timetable., • Weekend Call: One weekend call per month., • Patient Volume: Manage a daily patient census of 20 to 25., • OB Volume: Handle an average of 15 deliveries each month., • Additional Income: Earn an extra $200,000 by covering in-house call shifts at Robert Wood Johnson University Hospital Somerset., • Support Team: Work alongside a fully licensed medical team and support staff., • Stability: Enjoy long-term stability in private practice with our organization.Compensation and Benefits, • Competitive Salary: Starting compensation of $275,000, commensurate with experience., • Sign-on & Retention Bonus: A total of $60,000 offered!, • CME Reimbursement: Financial support for continuing medical education., • Health Benefits: Comprehensive health, dental, and vision coverage., • Retirement Plan: 401k with matching contributions., • Disability Insurance: Short- and long-term disability coverage, along with company-paid life insurance., • Malpractice Coverage: Company-paid malpractice insurance., • Work Culture: A supportive and appreciative workplace environment.Requirements, • Board Certified or Board Eligible in OB/GYN., • Possession of a current unrestricted state medical license. As a physician within our network, you will benefit from being part of a large national women's healthcare organization while retaining the autonomy of physician governance and clinical decision-making. We advocate for our OB-GYN medical affiliates, enhancing the business aspects of medicine so they can concentrate on patient care. Our support includes innovation, expansion, and the provision of essential tools, training, and resources for practice enhancement. Our medical affiliate maintains a drug-free workplace and is an Equal Opportunity Employer. #LI-Onsite

Atrium is seeking on behalf of our client a Packaging Procurement Specialist based in Congers, NY. A background check may be run only after a conditional offer is made, where permitted by law. Position: Packaging Procurement Specialist Location: Orangeburg, NY Employment Type: Full-time Compensation: $63-75K Position Overview The Packaging Procurement Specialist is responsible for sourcing and procuring primary and secondary packaging materials to meet production, quality, cost, and service goals. This role works closely with suppliers and multiple internal teams to ensure the timely availability of packaging components while optimizing costs and maintaining supply reliability. Responsibilities of the Responsibilities • Oversee procurement of various packaging components, converting material requirements into purchase orders, tracking order progress, and resolving supply challenges., • Support production needs through effective purchasing and coordinate with international partners as needed., • Manage a broad supplier network across multiple packaging materials., • Lead negotiations on pricing, terms, and delivery conditions., • Implement cost reduction initiatives and monitor supplier performance through key metrics and regular assessments., • Collaborate with Planning and suppliers to align packaging supply with demand forecasts., • Optimize inventory levels and safety stock while balancing service and capital efficiency., • Identify and address potential supply risks proactively., • Maintain accurate procurement data and supplier information within ERP systems., • Facilitate supplier onboarding and ensure adherence to procurement policies and audit standards., • Continuously improve purchasing processes and visibility into lead times. Required Experience/Skills • In-depth understanding of packaging materials and procurement processes, • Familiarity with inventory management, lead time coordination, and cost control, • Proficient in Microsoft Office, particularly Excel Preferred Experience/Skills • Experience using MRP and/or ERP systems, • Knowledge of quality, GMP, and regulatory standards, • Exposure to international logistics and global sourcing (Europe/Asia) Education Requirements • Bachelor’s degree in Business Administration, Supply Chain, Packaging Engineering, or other related fields are required. Benefits If eligible under the ACA, medical, dental and vision benefits and time off in accordance with local paid sick time laws will be offered. Additional benefits may include paid holidays, a 401(k)-retirement plan, life insurance, disability coverage, and an employee assistance program, where applicable. Other compensation programs may include overtime, shift differentials, bonuses, commissions, or other incentive compensation, where applicable. Commitment to Diversity As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation. EOE/M/F/D/V/SO Applicant Communication Consent By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to opt out on any message you receive. For more details, please review our Terms of Use and Privacy Policy.

Required Education: • Graduate from accredited college/university with a degree in Dietetics or Foods and Nutrition. Weekly Pay: $2100-$2300/week Responsibilities Required Certifications & Licensure: • For post-acute locations, requirements New York State Certification, issued by the New York State Education Department (NYSED) as a “Dietitian-Nutritionist”., • AHA BLS Experience: • Minimal one (1) year of experience. Limited openings! Click here to apply today! Pride Health is Pride Global's healthcare staffing branch, providing recruitment solutions for healthcare professionals and the industry at large since 2010. As a minority-owned business that delivers exceptional service to its clients and candidates by capitalizing on diverse recruiting, account management, and staffing backgrounds, Pride Health's expert team provides tailored and swift sourcing solutions to help connect healthcare talent with their dream jobs. Pride Global and its affiliates, including Russell Tobin, Pride Health, Pride Now, and Pride One, offer eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors. Equal Employment Opportunity Pride-Health is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Pride-Health is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Physician Affiliate Group of New York (PAGNY) and the Department of Obstetrics and Gynecology at NYC Health + Hospitals/North Central Bronx has an opportunity for a Vice Chairperson, OBGYN. The Department of Obstetrics and Gynecology is a unified Department across the two campuses of Jacobi Medical Center and North Central Bronx (NCB). Both facilities are members of the largest public health system in the country and serve the diverse community in the surrounding neighborhoods of the Bronx and lower Westchester County. Jacobi and NCB are major clinical affiliates and teaching sites of the Albert Einstein College of Medicine and have recently developed a teaching relationship with City University of New York. NCB is a 232-bed community hospital with a loyal patient following. The Mission of NYC Health + Hospitals is to extend equally to all New Yorkers, regardless of the ability to pay, comprehensive health services of the highest quality in an atmosphere of humane care, dignity, and respect. Their Values are built on a foundation of social and racial equity and has established the ICARE standards for all staff. NYC Health + Hospitals is the nation’s largest municipal health care delivery system in the United States. Dedicated to providing the highest quality health care services to all New Yorkers with compassion, dignity and respect, and regardless of immigration status or ability to pay. The faculty represent all specialties within OBGYN including Maternal Fetal Medicine, Genetics, Gynecologic Oncology, Minimally Invasive Gynecologic Surgery, Urogynecology, and Reproductive Endocrinology. The Department focuses on delivering the highest quality care to our patients. We employ multidisciplinary simulation, huddling, and debriefs to promote teamwork and standardize care to continually improve our processes. We have a relatively young faculty that is eager to develop academically and work collaboratively with nurses, midwives and physician assistants to deliver the highest quality care to our patients in a safety net setting. Opportunity Details: Support the Chair in the day to day operations and oversight of clinical functions within the Department and relationships with other services. Clinical Expectation: • 60% Clinical effort., • Clinical coverage will be assigned according to the expertise of the candidate and may include a combination of OBGYN clinical areas such as outpatient practice, inpatient, labor and delivery, and/or GYN surgery., • Responsibilities will include precepting/mentoring of attendings, teaching of residents and medical students, collaboration with midwives, physician assistants and other mid-level providers., • Call coverage will include in house call requirement monthly., • Call coverage may include back up call according to clinical expertise. Academic Expectation: • Promote scholarly activities by faculty and trainees., • Responsibility for the substance, quality, review and evaluation of all research programs within the Department., • Develop and oversee continuing medical education programs for staff at all levels within the Department. Administrative Expectation: • Ensure a culture of open dialogue with all staff, promote healthy team norms, and develop pathways to support staff and promote wellness., • Ensure a culture of diversity and inclusion within the Department. Identify and address areas of inequity by promoting activities that build awareness and acceptance of all individuals., • Ensure faculty meet performance expectations of their services assignment and customer service standards., • Create, implement and maintain defined objectives for OBGYN services for clinical improvement, growth, and the expansion of services. Communication/Change Management Expectation: • Establish appropriate communication channels with physicians, nurse-midwives, NPs, nurses and administration that result in trust, alignment and collaborative working relationships, making patient access to resources a high priority., • Establish open, non-judgmental dialogue, expect a culture of diversity and inclusiveness, welcome constructive criticism from direct reports, admit errors openly, avoid a punitive response to honest mistakes, demonstrate timely responsiveness, and hold others accountable., • Coach, mentor, and develop others to build internal capabilities and the talent that facilitates succession. Qualifications: • Board Certification in General Obstetrics and Gynecology or OBGYN Sub-Specialty, • Minimum 8 years post-residency clinical and administrative experience, • Proven track record of clinical/academic productivity, • Experience working in an academic position with combined clinical, teaching and research experience, • Familiarity with Accreditation Council of Graduate Medical Education (ACGME) requirements for residency education, • Ability/Willingness to cover In-house OB/GYN service call, • Actively involved in faculty recruitment, selection and mentorship, • Demonstrated competence in leadership, management and team building, • Experience leading quality improvement and process improvement work in hospital/healthcare settings, • Must possess strong analytical, interpersonal, and communications skills Wages and Benefits include: Annual Base Salary: $358,955* based on 40-hour work week. The annual total value of the compensation package is estimated at $433,955**, which includes the baseline salary, 401(k) contribution, and other factors as set forth below: • Projected bonus of up to $40,000 (based on previous year’s average), contingent upon meeting quality and productivity targets., • 401(k) Company Contribution (subject to IRS contribution limits):, • Employees are immediately vested in a 3% company contribution of base earnings. No employee match is required., • After one year of service, employees receive an additional 7% company contribution of base earnings. No employee match is required., • Annual Continuing Medical Education (CME) Reimbursement., • Generous Annual Paid Time Off (PTO): Vacation, Sick, Holiday, and CME days., • Medical, Prescription, and Dental Coverage: Top-tier plans with employee contributions significantly below market rates., • Life Insurance and Accidental Death and Dismemberment (AD&D) Coverage: Equal to 2x your salary (up to a maximum of $300,000) provided at no cost to you., • Additional employee-paid Voluntary Life and AD&D coverage is available for you and your family., • Medical Malpractice Coverage (equivalent to occurrence-based): Provided at no cost to the employee., • Healthcare and Dependent Care Flexible Spending Accounts (FSAs)., • Pre-tax employee-paid contributions for commuting expenses. Physician Affiliate Group of New York, P.C. (PAGNY) mission is to provide accountable, responsive, quality care with the highest degree of sensitivity to the needs of the diverse population that lives in our New York community. PAGNY is one of the largest physician groups in the country and directly employs nearly 4,000 physicians and allied health professionals who provide services to NYC Health + Hospitals, the largest municipal health care system in the nation serving more than a million New Yorkers annually. Our providers are highly skilled professionals with outstanding credentials who deliver the highest level of quality healthcare to patients throughout New York City. Physician Affiliate Group of New York, P.C. (PAGNY) is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. We are committed to fostering an inclusive environment where everyone feels valued and respected. Our policies ensure equal opportunities for all. Learn more about our initiatives by visiting our Diversity, Equity, and Inclusion page. *Salary Disclosure Information: The salary listed for this position complies with New York City's Salary Transparency Law for Job Advertisements. The salary applies specifically to the position being advertised and does not include potential bonuses, incentive compensation, or benefits. Actual total compensation may vary based on factors such as experience, skills, qualifications, historical performance, and other relevant criteria. **The annual total value of the compensation package shown is provided as an illustration and is not guaranteed.

At TerrAscend, we don't just grow cannabis — we grow possibility. Whether it's cultivating top-tier flower, supporting patients with trusted therapies, or crafting premium products for adult use, we're here to elevate lives. As a trailblazer in the cannabis industry, our roots run deep and our sights are set high. If you're ready to shape the future of cannabis with a team that believes in quality, care, and community — let's grow together. As a Lead Cultivator, you will work within the Cultivation Department and report to the Cultivation Manager. You will assist the Cultivation Manager by carrying out day-to-day processes within the grow rooms and overseeing the daily activities of assigned cultivation team members, under the guidance and supervision of the Cultivation Manager. The tasks associated with this position include but are not limited to: crop tracking, crop documentation, performing crop production duties, labeling, cleaning, and training in accordance with the state of New Jersey regulations and TerrAscend policies and procedures. Responsibilities include, but are not limited to: • Responsible for increasing operational efficiency and reducing waste through ownership, teamwork, communication, and collaboration in your assigned room/area., • Responsible for overseeing your group assigned processes and capable of performing tasks hands-on in the grow/cultivation area., • Maintaining crop production schedule by ensuring adequate plant inventory., • Demonstrate and promote the company's vision and values., • Responsible for conducting SOP training and refresher training sessions for all team members who are assigned to your department., • Report all equipment, technical, or workload problems immediately to the Cultivation Manager., • Work during assigned hours and overtime, weekends, or holidays when necessary., • Remain in department until all work is complete each day., • Maintain cultivation environment (cleaning and sanitizing workspaces, consumables inventory, media inventory, etc.)., • Adhere to company health and safety policies; including eye protection, ear protection, uniforms, hand protection, and all other PPE., • Follow all company analytical and administrative Standard Operating Procedures (SOPs)., • Oversee daily activities of cultivation team members, under the guidance and supervision of the Cultivation Manager., • Report deficiencies to management., • Ensure 100% compliance involving proper data recording, product tracking, and security throughout all processes., • Ability to perform all Cultivator duties per the Cultivator job description on a daily basis., • Perform all assigned duties required to ensure a clean and safe grow facility., • Ability to thoroughly control and operate all cultivation equipment, including irrigation equipment, in a safe manner and environment., • Other duties as assigned needed/required to meet goals. Qualifications and Education Requirements, • EXPERIENCE & EDUCATION:, • High School diploma or General Education Diploma (GED)., • 1-2 years experience in a similar role or equivalent combination of education and experience., • Must be capable of leading a team and assisting them in job processes when/where required., • Knowledge of growing technologies, such as lights, irrigation, soil, nutrients, and more., • Knowledge of different cultivars and their unique growing demand., • Ability to execute techniques consistently., • Good documentation, inventory, and organization skills., • Ability to keep to a tight schedule., • Ability to maintain excellent punctuality and attendance., • Flexibility with hours and days – must be open to working weekends, holidays, and overtime when necessary., • Excellent verbal interpersonal communication skills to interact with team members., • Basic weights and measurement skills, ability to operate a scale., • Must be at least 21 years of age. $21 - $21 an hour #ENGHP Perks Rolled Just for You (for Benefits-Eligible Roles) • Comprehensive Health Coverage – Medical, dental, vision, and prescription plans available for employees and their dependents., • Mental Health & Wellness Support – Access to the AI-powered Sabender platform, confidential counseling and life coaching through PAS, nutrition coaching, and discounts at Husk Fitness., • Flexible Paid Time Off (PTO) – Generous PTO to support work–life balance (availability may vary by state—ask your recruiter for details)., • Employee Assistance Program (EAP) – Free, confidential support for mental health, financial planning, legal matters, and more., • Paid Parental Leave – Dedicated time to rest, recharge, and care for your growing family., • 401(k) with Company Match – Save for the future with a 4% company match and immediate vesting., • Pet Insurance – Affordable coverage options to keep your pets healthy., • Employee Discounts – Exclusive savings at any of TerrAscend's 39+ dispensary locations., • Recognition Program – Earn points through peer-to-peer recognition and redeem for Amazon rewards or gift cards., • Disability & Life Insurance – Company-paid protection for life's unexpected moments. Environmental Factors: This position requires working in an environment that has a high amount of plant matter and pollen. Areas of the facility reach high/low temperatures with high humidity levels. Employees may have exposure to conditions such as dust, plant matter, and particles that affect the respiratory system, eyes, or skin, depending on department job assignments. Employees are required to wear protective gear and have the option to wear eye and ear protection. Certain areas of the facility use harsh chemicals for cleaning such as bleach and can have repetitive movements. Employees should be comfortable and capable of working under all of the above conditions. Physical Requirements: • Able to push, pull, lift, or move a minimum of 50lbs, • Capable of sitting, standing kneeling, bending, squatting, and/or walking for extended periods of time, • Capable of using hands and fingers to touch, handle, feel and pick, • Ability to work with hazardous chemicals (butane, propane, etc.) following strict safety guidelines, • Utilize chemicals (such as bleach) to clean and maintain facility/equipment, • Must wear PPE (clothing protection), close-toed non-slip shoes, and optional ear/eye protection * Background Check Requirement * As a condition of employment, a complete background investigation will be conducted based on the rules of the specific State in which the employee is hired. Typically, the state investigative process includes a state and federal background check. EEO Statement At TerrAscend, employees and applicants are evaluated based on their qualifications, skills, and ability to perform the duties and responsibilities of the position. TerrAscend is committed to assuring equal employment opportunities to all employees and applicants. TerrAscend is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination based on race, color, religion, creed, gender, pregnancy or related medical conditions, age, national origin or ancestry, physical or mental disability, genetic information, sexual orientation, to include gay, lesbian, bisexual, transgender and gender identity, or any other consideration protected by federal, state or local laws. Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and coworkers. Disclaimer This job description is not an employment agreement or contract. Management has the exclusive right to alter this job description at any time without notice. The list of job responsibilities, skills, duties, requirements, and the like is not exhaustive, rather it is illustrative of the current essential functions required for the position. This organization participates in E-Verify. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. E-Verify Works for Everyone For more information on E-Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS. Esta Organizacion Participa en E-Verify. Este empleador participa en E-Verify y proporcionara al gobierno federal la informacion de su Formulario I-9 para confirmar que usted esta autorizado para trabajar en los ___.. Si E-Verify no puede confirmar que usted esta autorizado para trabajar, este empleador esta requerido a darle instrucciones por escrito y una oportunidad de contactar al Departamento de Seguridad Nacional (DHS) o a la Administracion del Seguro Social (SSA) para que pueda empezar a resolver el problema antes de que el empleador pueda tomar cualquier accion en su contra, incluyendo la terminacion de su empleo. Los empleadores solo pueden utilizar E-Verify una vez que usted haya aceptado una oferta de trabajo y completado el Formulario I-9. Para mas informacion sobre E-Verify, o si usted cree que su empleador ha violado sus responsabilidades de E-Verify, por favor contacte a DHS. Statement on External Recruiting Agencies TerrAscend and all affiliates do not accept blind resume submissions from external recruiting agencies. No fee will be paid to agencies who submit candidates without being under contract for an active search with TerrAscend. Salary $21 USD per hour

Atrium is seeking on behalf of our client an Associate Designer - Men's based in New York, NY. A background check may be run only after a conditional offer is made, where permitted by law. Position: Associate Designer - Men's Location: New York, NY Employment Type: Full-time Compensation: 75,000–80,000 Position Overview The Associate Designer - Men's will support the design team in developing seasonal menswear collections from concept through production. This role collaborates closely with cross-functional teams to ensure designs are innovative, trend-right, and commercially viable. The position requires strong technical skills and creativity to deliver high-quality products on time. Must be legally authorized to work in the United States. Responsibilities • Support the design team in creating seasonal menswear collections, including concept development, sketches, and tech packs., • Collaborate with product development, merchandising, and sourcing teams to ensure designs are production-ready., • Conduct trend research and assist in material selection to keep collections fresh, relevant, and commercially appealing., • Contribute creatively to the team while meeting deadlines and maintaining high-quality standards., • Assist in preparing presentation boards and line sheets for internal and external meetings., • Maintain organized design files and ensure accurate updates throughout the development process. Required Experience/Skills • 2+ years of professional design experience in men's apparel., • Strong technical skills including sketching, CAD, and garment construction., • Highly organized, detail-oriented, and able to manage multiple projects simultaneously., • Collaborative team player who thrives in a fast-paced, hands-on environment., • Experience working on menswear collections from concept to production. Preferred Experience/Skills • Proficiency in Adobe Creative Suite (Illustrator, Photoshop) and PLM systems., • Knowledge of fabrications, trims, and embellishment techniques for men’s apparel., • Strong understanding of market trends and consumer preferences in menswear., • Ability to present design concepts clearly to internal teams and external partners., • Familiarity with fit processes and garment specifications. Education Requirements • Bachelor’s degree in Fashion Design, Textile Design, or a related field preferred., • Coursework or certifications in men’s apparel design is a plus., • Continuing education in trend forecasting or CAD software is advantageous. Benefits If eligible under the ACA, medical, dental and vision benefits and time off in accordance with local paid sick time laws will be offered. Additional benefits may include paid holidays, a 401(k)-retirement plan, life insurance, disability coverage, and an employee assistance program, where applicable. Other compensation programs may include overtime, shift differentials, bonuses, commissions, or other incentive compensation, where applicable. Commitment to Diversity As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please ___ to request an accommodation. EOE/M/F/D/V/SO Applicant Communication Consent By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to opt out on any message you receive. For more details, please review our ___ and ___.

Position Overview Phipps Neighborhoods is seeking a Manager, Special Projects to drive execution across a set of high-priority, cross-functional initiatives that are critical to our growth and impact. This role sits within Phipps’ Roots team. Roots is a cross-functional group that brings together Development, Data & Learning, and Education & Capacity Building to support program quality, performance, and growth across the organization. The Manager will work across all three Roots functions, leading projects within individual teams as well as initiatives that span the full Roots team. The role also partners closely with program staff to ensure strong alignment between planning, implementation, and outcomes. This is an implementation-focused role for a highly organized, solutions-oriented project manager who thrives in dynamic environments and is motivated by turning ideas into action. Salary range for this role is $70-75k This a hybrid role: - 2 days at the Main Office in NYC 1 day in the Bronx, and 2 days remote Key Responsibilities 1. Cross-Functional Project Management (Across Roots) ● Lead day-to-day project management for priority initiatives that span Development, Data & Learning, and Education & Capacity Building ● Create and manage project plans, timelines, and workstreams across multiple teams ● Ensure clarity on roles, responsibilities, and deadlines across stakeholders ● Drive internal accountability by tracking progress and following up to ensure deliverables are completed ● Identify and address risks or bottlenecks to keep projects moving forward 2. Special Grants Implementation & Coordination ● Support implementation of new and “special” grant-funded initiatives with unique outcomes, structures, or reporting requirements (e.g., pilot programs, model expansions) ● Lead internal transition from proposal to implementation (“off-boarding”) by ensuring program teams have clear guidance, tools, timelines, and expectations ● Translate grant commitments into actionable workplans in partnership with program staff and leadership ● Coordinate across Development, Data & Learning, and program teams to track deliverables and maintain alignment between implementation and funder requirements ● Proactively identify gaps or risks in execution and support teams in course correction 3. Special Events & Donor Engagement Support ● Project manage special donor-facing events, including volunteer opportunities and targeted engagement activities ● Coordinate logistics across internal teams and external partners to ensure successful execution ● Support alignment between event execution and broader development goals 4. Organizational Priority Projects ● Support additional cross-cutting projects as organizational needs evolve ● Step into ambiguous or undefined workstreams to bring structure, momentum, and follow-through ● Serve as a reliable “owner” for projects that do not sit neatly within a single team Qualifications ● Bachelor’s degree in a relevant field (e.g., Nonprofit Management, Communications, English, Public Administration, or a related discipline) or equivalent work experience in nonprofit fundraising or administration ● 3–5 years of professional experience, with demonstrated success managing projects involving multiple stakeholders ● Strong organizational and project management skills, with the ability to manage multiple priorities simultaneously ● Experience coordinating across teams and driving work forward in complex, fast-paced environments ● Excellent communication skills, with the ability to work effectively across program, data, and development teams ● Detail-oriented with strong follow-through and a proactive approach to problem-solving ● Comfort with ambiguity and the ability to adapt as priorities shift Preferred Qualifications ● Experience in a nonprofit, education, workforce development, or community-based organization ● Familiarity with program implementation tied to grant-funded initiatives ● Experience coordinating reporting, deliverables, or compliance requirements across teams This role reports to the Director of Development and works closely across the Roots team (Development, Data & Learning, and Education & Capacity Building), with regular collaboration with program staff and organizational leadership. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Phipps Houses and Affiliates is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, citizenship or national origin, ancestry, alienage, citizenship status, age, disability or handicap, sex, marital status, veteran status, pregnancy, gender, sexual orientation, or any other characteristic protected by applicable federal, state or local laws. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

Founded in 2005, CIFC Asset Management LLC (together with its affiliates, “CIFC” or the “Firm”) is a global credit manager with $40+ billion in assets under management. CIFC focuses across multiple disciplines including CLOs, structured credit, corporate credit, and opportunistic credit, as well as direct lending. Headquartered in New York, and serving over 400 investors globally, we have approximately 200 employees with over 95 investment professionals averaging 14 years of credit experience. We are guided by a rigorous investment process, with an acute focus on downside risk protection and bottom-up fundamental credit research applied across our disciplines. For more information, please visit CIFC’s website at ___ The CIFC Administration group reports to the Head Administration Officer and is responsible for providing superior support. The group works together as a team, covering and backing up one another to ensure smooth coverage of all the firms’ needs. Responsibilities: • Greet guests and direct them to appropriate conference rooms, • Contact CIFC host when guests arrive, • Answer incoming calls, • Assist in preparation of marketing materials for meetings (binding books), • Efficiently maintain conference room calendar, • Provide and facilitate catering for meetings, investor luncheons, etc., • Liaise with building regarding issues or needs, communicating directly with building maintenance or support personnel, • Register guests with building security, • Serve beverages to guests, • Obtain ID cards for new employees and replacements as needed, • Order business cards for employees, • Sort and distribute mail and packages, • Mail and FedEx (i.e. postage, airbills, Certified Mail, etc.), • Maintain and tidy copy rooms and pantries, • Orders office supplies and pantry items, • Stock copy rooms and pantries, • Assist other admins with special projects as needed, • Communicate with vendors when equipment repairs are needed, • Assist in coordinating firmwide events Qualifications: • Education: Bachelors Degree, • Financial Services experience a plus, • Organized and has the natural ability to multi-task and balance priorities, • Upbeat disposition, eager to assist employees / clients, • Excellent communicator; both written and verbal, • High attention to detail, and dedication to follow tasks through to completion, • Professional presentation, ability to interface with senior executives, • Strong problem-solving skills and work ethic, • Self-starter, ability to take control and manage tasks appropriately, • Knowledge of Microsoft Office Suite; Word, Excel, and PowerPoint

Position Summary The WIOA Train & Earn Case Manager will regularly meet with participants to address barriers to program completion, including the provision of referrals to other service providers. The WIOA Train & Earn Case Manager will also complete all necessary data entry related to this work and support the larger team with other program activities, such as outreach and recruitment, workshops, post program placements. Salary Range: $50,000 to $55,000 - salary is commensurate with education, training, and experience. Schedule: Monday-Friday 9am-5pm Location: West Farms - Bronx, NY Duties and Responsibilities • Assess each applicant for program fit and support addressing barriers to program completion, • Complete a detailed intake assessment and design a corresponding service plan in collaboration with each qualifying applicant. Complete necessary enrollment paperwork., • Meet with program participants regularly to discuss barriers to program completion leading to a post program outcome., • Support in making external referrals to other service providers as necessary and ensure participants follow through with all referrals., • Complete exit steps at the end of each cohort and assist with the placement into positive outcomes for all youth., • Assure quality, timely data entry into Salesforce database, • Assist in identifying and developing services and programs not currently being offered. Knowledge, Skills and Abilities • Experience working directly with Youth/Young adults who are out of school and out of work (OSOW) and barriers to employment, • A track record in providing comprehensive case management services to young adults. Familiarity with the public and nonprofit organizations within this population., • Proven experience developing programmatic systems to enhance program outcomes., • Establish strong working relationships with team members, colleagues, participants, and external stakeholders., • Experience working on multiple projects and balancing competing priorities., • Bachelor’s degree required. A master’s degree or additional, substantial professional development in a related field preferred., • A minimum of 5-7 years’ experience in a case manager or comparable role. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Phipps Houses and Affiliates is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, citizenship or national origin, ancestry, alienage, citizenship status, age, disability or handicap, sex, marital status, veteran status, pregnancy, gender, sexual orientation, or any other characteristic protected by applicable federal, state or local laws. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

ATR International is hiring an Associate Manager, Medical Information for a major client! Would you like to play a crucial role in developing life-saving therapies? Are you excited to use your pharma business expertise to partner with internal teams and external partners as we strive to cure unmet medical needs? Seeking a Sr. Manager/Associate Director of Medical & Affiliates Research & Development (R&D) Quality to play a pivotal role in reinforcing and sustaining a strong culture of quality, compliance, governance, and risk management for our cross-therapeutic area medical affairs activities. The Sr. Manager/Associate Director will support Medical & Affiliates R&D Quality operations by promoting document management, monitoring initiatives, independent projects and learning solutions that are managed by R&D Quality Process, Documentation and Learning to advance a culture of quality and compliance across Gilead. Primary Responsibilities: Partner with Medical & Affiliates Quality Business Partner team to support the ecosystem of medical affairs and Affiliates’ quality operations, including: • Synthesizing Quality issues arising from deviations, inspections, and audits; supporting the development and maintenance of Medical Affairs (MA) process documentation, • Creating analytic tools to enhance data insights and leadership communications, • Supporting initiatives and projects led by Quality Business Partners in collaboration with the business, • Developing sophisticated presentations to support project execution and decision making, • upport team needs in their conduct audits, inspections, and self-assessment activities in coordination with functional business partners, • Support internal audit and regulatory inspection deliverables, including readiness preparation, inspection execution, and response activities, as needed, • Assist with the resolution of relevant audit and inspection findings and the implementation of corrective actions, • Support the development of reporting capabilities, including an understanding of what metrics R& D Quality possesses, or can develop, that reflect the needs of Medical Governance & Affiliates operations Qualifications • BA/BS with 3+ years’ relevant experience., • Relevant experience in quality, compliance, governance and risk management in the biopharmaceutical or related industry, • amiliarity with post-marketing medical affairs operations and activities, • General understanding of the PhRMA code regulations, standards, and business requirements, • Effective communication and interpersonal skills, to include developing relationships across organizational levels Location: Hybrid in Parsippany, NJ Hourly Rate: $60.00 - $75.00 Benefits Full-time employees (working an average of 30 hours or more) are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, a 401(k) retirement savings plan with employer match (available after 1 year of employment), commuter benefits, employee discount and referral programs, and life and supplemental income insurance. Paid sick leave is provided in accordance with applicable state and local laws. Compensation Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience, as well as the benefits package you select. Work Authorization ATR International, Inc. cannot sponsor work visas (H-1B, F-1 STEM OPT with I-983, or similar). Candidates must have valid U.S. work authorization. ATR International, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$238,050—$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (3 days in office / 2 days remote). About Your Team: Shape the Future of Market Integrity at Interactive Brokers. Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem. What will be your responsibilities within IBKR: • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets, • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations, • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy, • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades), • Evaluate model performance to optimize detection accuracy while minimizing false positives, • Document methodologies to withstand regulatory scrutiny and examination. Which skills are required: Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems. • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field, • Strong programming proficiency in Python, • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance, • Domain expertise in at least one of:, • Large-scale financial data analysis (orders, trades, market data), • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.), • Regulatory-driven feature engineering, • Communication excellence in explaining complex surveillance concepts to diverse stakeholders. Good to haves: • Regulatory background at the SEC, FINRA, or major securities exchanges, • Advanced degree in a quantitative discipline, • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost), • Deep understanding of market microstructure and trading strategies, • Specialized knowledge in AML and market manipulation typologies To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills., • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Lead a team of highly effective research scientists and research engineers on LLM evals., • Conduct research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions, • Remain deeply involved in the research community, both understanding trends, and setting them, • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience supporting and leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals, • Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$264,800—$331,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale is looking for a Quality Lead to ensure top-tier data quality across our Generative AI programs. In this role, you will partner directly with Scale's Delivery teams to ensure that the Quality Team's core operation runs smoothly and that only high-quality data is delivered to our customers. You will: • Lead and develop teams of quality control auditors., • Partner with delivery teams to interpret and improve customer requirements., • Oversee day-to-day operations, including workload allocation and reporting insights., • Establish and uphold scalable best practices., • A Bachelor's degree in Computer Science, Engineering, Operations, or a related field., • 2+ years improving operational/technical processes., • Strong analytical and problem-solving skills (particularly in SQL and Google Sheets / Excel) with attention to detail., • Experience building systems and processes, • A hands-on background in product management, software development, or top-tier management consulting., • Master's degree in Computer Science, Engineering, Operations, or a related field., • A hands-on background in quality assurance, • Experience in AI/ML services., • Experience in a fast-growing, less-structured startup environment., • Experience building teams from the ground up. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$109,600—$137,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,000—$393,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale, we believe that AI will dramatically improve the world, and our mission is to develop reliable AI systems for the world's most important decisions. To help achieve this mission, we are looking for an HR Business Partner to partner with our Gen AI Operations team. Scale AI's Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment.___The data they produced is described as some of the most important work for how humanity will interact with AI. As the HR Business Partner, Operations, you will be deeply embedded within the Gen AI Operations team, advise team members as our business scales, and will support leaders in all people-related matters. You will collaborate closely with cross-functional teams such as HR Operations, Recruiting, Finance, Legal, and IT to make the Operations team as successful as possible. • Provide end-to-end HRBP support across our growing and evolving Gen AI business unit, including directly driving org health initiatives, influencing org structure to effectively scale the team, and developing and implementing creative solutions as the team navigates new markets., • Establish yourself as a trusted advisor and a knowledgeable, reliable, and empathetic partner for our employees and leaders across the Enterprise team, • Coach and advise leaders on best people practices and uplevel manager skill sets, • Lead project management for all people programs for the Enterprise organization, including org planning, onboarding, performance cycles, engagement surveys, and career development efforts, • Drive organization and order for people data and use it to provide insights and recommendations to leaders, • Work in a hybrid work environment (3 days/week) at our San Francisco Headquarters or New York office, • 5+ years of experience working in HR with progression and growth in scope, with 3+ years of experience in an HR Business Partner role at a fast-paced, high-growth company, • Demonstrated experience engaging with executive-level leadership on org-wide initiatives, and ability to partner and build relationships with senior leadership, • Strong ability to relate to, empathize with, and quickly build trust with people from diverse backgrounds, • Proven ability to thrive in a fast-paced, iterative environment and embrace changes in focus and direction as needed, • A passion for building scalable processes in a creative, thoughtful, and organized way, • Experience supporting a global workforce across various job functions, • Strong knowledge of Google Sheets/Excel and demonstrated ability to influence decisions with data. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

We are seeking a highly technical Security Engineer to join our Product Security team. This role is integral to ensuring the security and integrity of our products and services. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities. You will also structure complex problems, diagnose root causes independently, and clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact. You will: • Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem., • Conduct in-depth code reviews to identify and remediate security vulnerabilities., • Evaluate and enhance the security of our product offerings, through RFC and service review., • Implement and maintain CI/CD pipelines with a strong focus on security., • Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code., • Utilize terraform orchestration to ensure secure and efficient infrastructure management., • Guide engineering teams to build robust long-term solutions that consider security and privacy., • Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact., • Influence the security strategy and direction of the team, advocating for best practices and continuous improvement. Ideally, you'd have: • Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction., • Proven experience as a Security Engineer with a focus on product security., • Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes., • Strong understanding of modern Javascript application design., • Production experience operating and securing AWS infrastructure at scale., • Hands-on experience with SAST and DAST tools and methodologies., • Familiarity with terraform orchestration for infrastructure management., • You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input., • Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders., • Demonstrated ability to influence security strategies and drive improvements within a team. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We're building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. The Global Forward Deployments (GFD) organization operates as a critical horizontal layer across Scale, sitting at the intersection of Engineering, Product, Design (EPD), Delivery, and GTM. As our business scales, we are growing the GFD Project Management Office (PMO) to act as the connective tissue that brings structure to ambiguity by aligning teams, organizing cross-functional workstreams, and keeping priorities coordinated across the organization. As a Technical Program Manager within this expanding PMO, you will drive execution across diverse initiatives by partnering closely with Infrastructure & Security, Product, Software Engineering, Machine Learning, Mission/Field Engineering, Delivery, and Go-To-Market (GTM) teams. Your focus will be integrating engineering roadmaps, customer delivery timelines, and security constraints to enable successful deployments in complex, isolated environments. • Lead as a Horizontal PMO Partner: Serve as a central node within the growing GFD PMO, driving alignment across Engineering, Product, and Design (EPD) initiatives and ensuring priorities remain top-of-mind across the organization., • Spearhead Niche Initiatives: Take on Scale's difficult-but-ambiguous problems, breaking them down in a structured way and driving them to successful outcomes. You will dive into both technology and organizational processes to craft effective solutions and gain efficiencies, track resourcing and vendor management, and align internal resources to solve unique organizational, and technical challenges., • Bridge EPD, Delivery, and GTM: Act as the primary technical program manager uniting GFD with Product, ML, Mission & Field Engineering, Delivery, and GTM teams to wrangle contractual deliverables across EPD, unblock complex custom integrations, and drive technical milestones against critical contract checkpoints., • Optimize Cross-Functional Processes: Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success., • Foster Communication: Create an effective feedback loop between all teams within EPD as well as with partner teams like Legal, BizOps, and Partnerships., • Current or past Security Clearance (TS/SCI preferred)., • Proven experience partnering closely with Product and cross-functional Engineering teams to align technical roadmaps, manage dependencies, and drive complex, multi-team initiatives., • Experience in project management, including planning, organizing, and managing resources., • A demonstrated capacity to operate effectively and maintain high-quality output within a high-tempo, ambiguous, or chaotic environment., • Experience in security and compliance, with a focus on cross-departmental collaboration., • Experience in delivering secure and reliable solutions within classified, isolated, and air-gapped environments., • Demonstrated understanding of security practices within cloud environments (e.g., AWS, Azure, GCP)., • Experience in a high growth, fast-paced technology company., • Experience in microservice design and Kubernetes-based container orchestration., • Experience applying AI or Machine Learning., • Strong analytical skills, with experience using data analysis tools or software., • Demonstrated history of fostering cross-functional collaboration with Delivery, Sales, and Engineering teams., • Backlog refinement & roadmapping experience with tools like Linear and JIRA., • Proven experience translating complex SOW requirements into tactical engineering deliverables, • Experience maintaining alignment with organizational capacity planning and delivery timelines. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$136,000—$260,000 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is:$136,000—$260,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Position Overview Reports to: • Dean, Icahn School of Medicine at Mount Sinai You will be responsible for managing the professional and technical operations of the Divisions of the Department of Pathology providing patient services, including Anatomical Pathology, Clinical Pathology, Molecular Pathology, Experimental Pathology, Affiliated Laboratory Affairs, and their various sections in all affiliated hospitals and clinics of the Mount Sinai Health System (MSHS). You will also be responsible for overseeing all educational programs system wide, including Residency and Fellowship Programs, as well as Medical and PhD-Candidate Students Educational Programs as they relate to the Department of Pathology. You will be responsible for the overall research portfolio assigned to intramural and extramural programs, and to have oversight of the Institutional Biorepository operation. Working with the Vice President of Operations, Pathology Site-Chiefs at the MSHS hospitals, as well as Vice-Chairs in Anatomic Pathology, Clinical Pathology, Molecular Pathology, Translational Pathology, and Education you will lead all of the clinical services, education, and research programs for the Department of Pathology, Molecular and Cell-Based Medicine. You will be responsible for the coordination of clinical and research activities between the Departments of Pathology and Genetics & Genomic Sciences, Pathology and Dermatology, and Pathology and Oncological Sciences. Specific responsibilities include, but are not limited to the following: Clinical: • Monitoring the quality and appropriateness of services rendered anywhere in the System Hospitals and outpatient practices as appropriate., • Developing regulations for patient care requirements, patient safety, etc., as appropriate., • Ensuring that the quality and appropriateness of all procedures performed in the Hospital Departments and practices are monitored and evaluated and that appropriate action based on findings is taken when necessary. Research: • Lead and further build the Department’s clinical and basic research enterprise, including grants management, clinical research compliance, and the oversight of core facilities., • Encourage faculty participation, leadership, and grant acquisition in research endeavors. Monitoring progress of investigators., • Further develop and enhance a high quality, accountable, and equitable network of mentorship for investigators and trainees., • Ensure compliance with all governmental and pharmaceutical regulations and appropriate and timely submissions to the Grants and Contracts Office (GCO) and Institutional Review Board (IRB)., • Lead and direct the research and educational functions of the System Departments as defined in the Department’s mission statement., • Encouraging cross-departmental and cross-institute research and training collaborations. Education: • Ensuring high quality settings for the education and training of students, house staff, clinical fellows and postdoctoral fellows., • Securing external funding to support these educational and training programs., • Establishing a program of continuing education for all individuals who have privileges in the Hospital Departments. The program shall include educational conferences such as Grand Rounds, morbidity and mortality conferences, and in-service training, and be based in part on the results of the evaluation of care as appropriate., • Fostering an academic environment conducive to the advancement of faculty through appropriate support, mentoring and faculty development programs. Administrative: • Providing fiscal oversight to ensure the Department is financially sound. Monitoring the financial status of the department on an ongoing basis and develop corrective action plans to address deficit situations. Comparing faculty productivity to appropriate benchmarks and formulating strategies to maximize clinical productivity while maintaining well-being., • Collaborate with other Department Chairs and research Institute Directors to facilitate inter-departmental cooperation and coordination of clinical services, educational programs, and research., • Participating in the development of policies relating to the functioning of all staff and faculty in the Hospital Departments and the administration of various departments/services of the Hospitals, etc., • Oversee the professional conduct of the faculty within the Department across the Health System, its affiliates and the Network., • Recommends faculty appointments, clinical privileges and other employment arrangements as appropriate for individuals with primary responsibility in the Department of Pathology. Clinical privileges shall be processed through established medical staff channels., • Oversee appointments and promotions for all recruitments and existing faculty within the Department and the Network., • Ensuring that space and facilities needed for the Department to carry out its clinical, educational, and research missions are adequate and appropriate throughout the Mount Sinai Health System campuses., • Recommends to the administration and staff in the Department the type and amount of equipment necessary for routine procedures and for related efforts, assuring through at least annual review, that such equipment is available., • Maintain relationships and provide academic leadership as required with the leaders of the Icahn School of Medicine affiliated hospitals., • Maintain excellence in information technology infrastructure and connectivity., • Oversee compliance both internally and externally with regard to all contractual agreements relating to the faculty and staff associated with the Department., • Oversee the Department’s compliance as it pertains to our medical insurance carrier, City, State and Federal regulatory agencies., • Ensuring that Departmental participation and performance in the Mount Sinai Health System is appropriate and productive. Conducting regular system wide faculty meetings. Communicating appropriate information from the school and hospitals to faculty, trainees, and staff in a timely and regular manner., • Identifying opportunities for growth and improvement of the department's clinical, research, and educational programs., • Directly conducting/working with division chiefs to conduct annual performance reviews with faculty., • Responsible for maintaining the quality and efficiency of services provided by the Department and related academic functions for the Mount Sinai Health System including Elmhurst and Queens Hospital Center. Maintain contact and provide academic leadership as required with the leaders of the Icahn School of Medicine at Mount Sinai affiliated hospitals. Philanthropy: • Work closely with the Health System’s and School of Medicine’s Development Office to ensure robust philanthropic support for the Department’s research, educational and clinical programs., • Actively participating and encouraging faculty to engage in fundraising activities with the Development officer assigned to the department. General: • Your responsibilities will be assigned by the Deans, and may be reasonably altered in response to changing institutional needs after a good faith consultation with you. Salary Range: $575,000 - $750,000 If you are interested in being considered for the System Chair role, please send your CV and a statement of interest to Shema Patel at .

Registered Nurse – Clinical Documentation Specialist (CDI) | Remote We are hiring an experienced RN Clinical Documentation Specialist (CDI) for a remote contract opportunity. This role is ideal for nurses with strong clinical knowledge and CDI expertise looking to work in a collaborative, documentation-focused environment. Location: Remote (Must hold NJ License or Compact) Duration: 06/01/2026 – 07/25/2026 Schedule: Day Shift (Monday–Friday, 08:00 AM – 04:30 PM) Pay Rate: $55 – $60/hour Openings: 1 Job Summary: The Clinical Documentation Specialist will review medical records to ensure accurate clinical documentation, support coding accuracy, and improve overall quality of patient data. This role acts as a key liaison between physicians, coders, and clinical teams. Key Responsibilities: • Review and analyze inpatient medical records for documentation accuracy, • Ensure appropriate clinical documentation to support coding and compliance, • Collaborate with physicians, coders, and quality teams, • Clarify documentation through physician queries, • Active NJ RN License or Compact License (required at submission), • Minimum 5 years RN experience, • Strong Clinical Documentation Improvement (CDI) experience (must be current), • Experience with EPIC CDI and Solventum (3M) encoder software required, • Background in critical care, med-surg, ED, or PACU preferred, • Must pass Clinical Competency Exam (Zoom-based) prior to interview *Offered pay rate will be based on education, experience, and healthcare credentials. Pride Health provides a comprehensive benefits package, including medical, dental, and vision insurance, flexible spending accounts, company-paid life and long-term disability insurance, and optional supplemental life insurance for employees, spouses, and children. Additional perks include short-term disability, accident and critical illness coverage, identity theft protection, a 403b retirement plan, and tuition reimbursement of up to $4,000 annually for full-time employees. Interested? Apply now! About Pride Health Pride Health is Pride Global's healthcare staffing branch, providing recruitment solutions for healthcare professionals and the industry at large since 2010. As a minority-owned business that delivers exceptional service to its clients and candidates by capitalizing on diverse recruiting, account management, and staffing backgrounds, Pride Health's expert team provides tailored and swift sourcing solutions to help connect healthcare talent with their dream jobs. Our personalized approach within the industry shines through as we continue cultivating honest and open relationships with our network of healthcare professionals, creating an unparalleled environment of trust and loyalty. Equal Employment Opportunity Statement As a certified minority-owned business, Pride Global and its affiliates - including Russell Tobin, Pride Health, and Pride Now - are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

Who you are: You are a highly motivated self-starter looking to propel your career to the next level in a thriving and collegial professional environment. Who we are: Tarter Krinsky & Drogin LLP (TKD) is an entrepreneurial, growing, and highly supportive firm located in the heart of New York City. Our position as a mid-size firm promotes a work environment that fosters relationship building inside and outside of the office. We care about each other, our clients, the work we do, and the communities in which we live. It’s the kind of environment where every employee can develop into their best professional selves, where everyone’s contributions matter, and where each employee makes a real difference right from the start. TKD is a place to challenge, share ideas, and contribute your ideas and skills as part of an exceptional team. Each day holds an opportunity to make a real impact. What we do: TKD’s French Practice advises French and francophone companies, investors, entrepreneurs, and individuals on their U.S. legal needs. The group provides strategic, transactional, and employment counsel across the full lifecycle of a client’s U.S. presence, from market entry and investment through growth, workforce management, restructuring, and exit. Our attorneys combine deep knowledge of U.S. law with a strong understanding of international business dynamics, allowing us to deliver practical, integrated legal solutions aligned with our clients’ business objectives. Key areas of focus include: • U.S. market entry planning and corporate structuring, • Formation and governance of U.S. subsidiaries and affiliates, • Mergers and acquisitions, including due diligence, transaction documents, and post-closing integration, • Commercial agreements and cross-border transactions, • Employment law counsel (hiring, terminations, internal policy and procedure guidance;, • Intellectual property counsel and portfolio maintenance, • Ongoing corporate governance, compliance, and advisory matters, • Coordination with tax, immigration, labor, and regulatory teams to deliver integrated cross-border solutions What the role entails: We have an exciting opportunity for an Associate to join the French Practice, supporting domestic and international clients with integrated corporate, employment, commercial, and cross-border legal needs. The ideal candidate will have 3-12 years (6+ years preferred) of relevant corporate, commercial, and transactional experience. Essential responsibilities include: • Overseeing M&A and other corporate transactions, including due diligence, document review, identification of legal and commercial risks, drafting, and closing, • Drafting and reviewing corporate and commercial agreements, • Advising French clients on U.S. corporate governance and operational matters, • Handling stock transfer agreements, joint venture arrangements, corporate reorganizations, mergers, “flip” transactions, and other strategic transactions. Reviewing, drafting, and negotiating general terms and conditions of sale, general terms and conditions of use, retail policies, and other B2B and B2C documentation, • Providing practical legal advice on day-to-day company operations, including the sale and purchase of goods and services, employment and contractor relationships, advertising, marketing, online publishing, e-commerce, and privacy and cybersecurity compliance, • Advising on intellectual property matters intersecting with corporate transactions, including reviewing IP ownership provisions, evaluating IP representations and warranties in M&A, assisting with licensing or technology-related commercial agreements, and identifying IP-related risks during due diligence, • Coordinating with colleagues across practices to deliver integrated advice to French and multinational clients operating in the U.S. Qualifications and skills: • Candidates must be admitted to practice in New York, • Fluency in French is strongly preferred, with additional language skills considered a plus., • An entrepreneurial mindset and an interest in cross-border business work are highly valued., • The ideal candidate will be comfortable managing a diverse range of matters simultaneously, with the ability to shift effectively between transactional work, commercial contracting, corporate governance, and ongoing client counseling in a fast-paced practice., • Candidates should demonstrate strong drafting, analytical, and organizational skills, sound business judgment, and the ability to work effectively with international clients and cross-practice teams., • In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. TKD is currently maintaining a hybrid schedule structured as Tuesdays, Wednesdays, and Thursdays in-office with the option to be remote Mondays and Fridays. What you’ll love about us: We care about your professional and personal growth. Training and developing our team members are at the heart of everything we do. We are committed to cultivating development opportunities for you and helping you achieve your targeted career goals. The firm values your unique characteristics. We foster an inclusive and diverse environment where multiple perspectives are appreciated, as we understand that our employees play an intricate role in the expansion and success of our firm. Compensation & benefits: The good faith base annual salary range for this position is a minimum of $130,000 to a maximum of $215,000. The actual salary rate offered to candidates within that range will depend on a variety of factors, including, without limitation, years of relevant experience, applicable bar admissions, office location, and the candidate's overall qualifications for the position as assessed by the Firm. Market and Firm factors are also considered. Our generous benefits package includes medical, dental, vision insurance, 401K, disability, life insurance, and Paid Time Off (PTO). More about the Firm: TKD is a pre-eminent full-service firm focused on serving middle-market and larger business clients. We provide high-quality personalized service based on our clients’ goals. The strength of the firm lies not only in its experienced attorneys and congenial atmosphere but also in our holistic approach to law – serving businesses and individuals through commercial litigation, general corporate, real estate, construction-related matters, trust and estates, employment & labor law, as well as more specialized areas, including securities, not-for-profit and education, taxation, business-related immigration matters, international law, intellectual property, and bankruptcy, among others. Our lawyers have also garnered several prestigious recognitions for their contributions to the profession and their clients. We have been selected by Crain’s NY Business as a Best Places to Work in New York City and listed on the National Law Journal’s Hot List of the top 20 mid-sized firms in the nation. Many of our lawyers are ranked in Chambers USA and included among Best Lawyers and Super Lawyers. TKD is an Equal Opportunity Employer. We embrace equal employment opportunity and inclusiveness. We prohibit discrimination based on, among other characteristics, race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, immigration or citizenship status, age, disability, genetic information (including family medical history), political affiliation, status as a veteran or active military service member, and pregnancy and lactation accommodations, in our employment practices including, but not limited to, recruiting, hiring, and promoting.

Scale's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will operate at the center of Scale's most strategic customer relationships, serving as both a trusted operator and thought partner to the world's leading AI research teams. You are the frontline of Scale's contact with our Gen AI customers, working with and being an advocate for customer data leaders and engineering/operations teams. You have a strong interest in how high-quality data can positively influence Gen AI models. You work towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver. The ideal candidate builds deep relationships with researchers and customer leads, navigates difficult conversations with confidence, and has a track record of earning new work through the quality of their execution and relationships. They are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions. • Own a portfolio of complex, strategic projects with full accountability for delivery, quality, customer sentiment, and commercial outcomes, • Build and maintain deep, trust-based relationships with customer researchers and leads, serving as a thought partner throughout the project lifecycle, • Navigate difficult customer conversations around pricing, quality, and delivery expectations with confidence and clarity, • Identify and develop expansion opportunities through close customer engagement and a strong track record of execution, • 5+ years of work experience, with experience in consulting or as a technical product or program management role, • A proven track record in B2B client-facing roles, including building and expanding relationships and navigating complex customer dynamics, • Ability to understand the ML training lifecycle and discuss use cases meaningfully with technical customers, • A technical background (education or professional experience with CS, Engineering, Economics, Statistics, or another STEM field), • Graduate degree (PhD, MS) or research experience in a STEM field, • Experience at a frontier lab or company developing foundational models, or in a technical role at a high-growth AI company About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions -autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs. You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs. • Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations, • Sell agentic AI solutions by mapping Scale's capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research), • Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy, • Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption, • Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions, • Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production deployments, • Navigate regulatory, security, and procurement processes unique to financial services environments, • Act as the voice of the customer internally-informing product roadmap, agent design, and vertical-specific solutions, • Maintain a strong command of pipeline, forecasting, and deal hygiene using Salesforce, Clari, and related tools, • Operate with urgency and precision in a fast-paced, highly cross-functional environment, • 8-12+ years of enterprise sales experience, with significant focus on financial services (banking, insurance, capital markets, or fintech), • Proven track record of closing and expanding large, complex, multi-million dollar enterprise deals within highly regulated environments, • Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions at a business and technical level, • Deep understanding of financial services workflows (e.g., underwriting, claims, fraud, KYC/AML, research, operations) and how technology transforms them, • Demonstrated success engaging and influencing executive stakeholders, including building and delivering compelling business cases and ROI narratives, • Strong command of enterprise sales methodology, including account planning, multi-threading, and disciplined forecasting, • Ability to navigate ambiguity, long sales cycles, and complex stakeholder landscapes with high ownership and resilience, • Excellent communication and storytelling skills across both technical and non-technical audiences, • High level of business acumen, technical curiosity, and a consultative, customer-first mindset, • Experience selling agentic AI, LLM platforms, or automation solutions into financial services, • Background working with or alongside risk, compliance, or data organizations within large enterprises, • Familiarity with regulatory considerations (e.g., model risk management, auditability, data privacy) in AI deployments About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Enterprise Account Executive (Healthcare & Life Sciences) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic healthcare and life sciences customers. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into health systems, payers, pharma, biotech, and digital health organizations. You will act as a strategic partner to clinical, operational, and technical leaders - helping them transform core workflows such as clinical documentation, prior authorization, revenue cycle, pharmacovigilance, clinical trials, medical affairs, and patient engagement through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, strong executive presence, and the ability to navigate regulatory, compliance, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while quarterbacking cross-functional teams across Solutions Engineering, Product, Research, and Delivery to land and scale high-impact AI programs. • Own and expand relationships with leading healthcare and life sciences organizations (providers, payers, pharma, biotech), focusing on multi-year, strategic AI initiatives, • Sell agentic AI solutions by mapping Scale's capabilities to high-impact workflows (e.g., clinical documentation, prior auth, revenue cycle, patient ops, clinical trials, drug safety, medical review), • Build trusted relationships with executive stakeholders (CIO, CTO, CMIO, Chief Data/AI Officer, Heads of Clinical Ops, R&D, Commercial), • Develop and execute multi-threaded account strategies that drive net-new revenue, expansion, and long-term platform adoption, • Lead complex deal cycles, including ROI modeling, business case development, and mutual close plans across new business, renewals, and expansions, • Partner closely with Solutions Engineering to design and land technically credible pilots, POVs, and production deployments, • Navigate healthcare-specific regulatory and compliance requirements (e.g., HIPAA, GxP, data governance, auditability) throughout the sales process, • Act as the voice of the customer internally - informing product roadmap, agent design, and vertical-specific solutions, • Maintain strong pipeline discipline, forecasting accuracy, and deal hygiene using Salesforce, Clari, and related tools, • Operate effectively in a fast-paced, cross-functional environment with high ownership and attention to detail, • 8-12+ years of enterprise sales experience, with significant focus on healthcare or life sciences (providers, payers, pharma, biotech, or digital health), • Proven track record of closing and expanding large, complex, multi-million dollar deals in regulated environments, • Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions to both technical and non-technical stakeholders, • Strong understanding of key healthcare/life sciences workflows (e.g., clinical operations, revenue cycle, patient engagement, R&D, clinical trials, pharmacovigilance), • Demonstrated success engaging executive stakeholders and building compelling ROI-driven business cases, • Familiarity with regulatory and compliance considerations (e.g., HIPAA, FDA/GxP, data privacy, model governance), • Strong command of enterprise sales fundamentals, including account planning, multi-threading, and forecasting discipline, • Ability to navigate long, complex sales cycles with multiple stakeholders and competing priorities, • Excellent communication, storytelling, and executive presence, • High degree of ownership, intellectual curiosity, and a consultative, customer-first mindset, • Experience selling agentic AI, LLM platforms, or automation solutions into healthcare or life sciences, • Background working with clinical, regulatory, or data organizations, • Familiarity with EHR systems, clinical data, or real-world evidence platforms About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 1-3 years of building with LLMs in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI operates a global two-sided marketplace. On the demand side, AI labs and enterprises need high-quality training data. On the supply side, 500,000+ contributors across 100+ countries perform the annotation, evaluation, and data-generation work that makes frontier AI possible. For example, our contributor network includes Math PHDs from Vietnam, law professors at top colleges and investment bankers modeling efficient capital structures - all in service of training next-gen AIs. Keeping this marketplace trustworthy and free from fraud is foundational - to contributor experience, to customer data quality, and to the health of the business. We are looking for a senior Product Manager to lead Trust & Safety at Scale. This is a high-autonomy, high-impact role. You will own the product strategy for fraud detection, prevention, and remediation across our contributor ecosystem - building the systems that protect our platform from abuse while preserving a fair, transparent experience for legitimate contributors. T&S at Scale intersects every part of the contributor lifecycle: onboarding, task assignment, quality assessment, and payments. The scope is global, the adversaries are sophisticated, and the stakes are real. This role requires deep domain expertise in fraud and trust & safety. You should bring a strong point of view on how to build world-class T&S systems - because you will be the resident expert. You will set the vision for moving T&S from a reactive, fire-fighting posture to a proactive, intelligence-driven function with scalable detection and prevention infrastructure. About the Role: • You will be the most senior T&S product leader at Scale, reporting directly to the Head of GenAI Product. You will have dedicated engineering, data science, and operations partners, and will work closely with EPD leadership and Delivery Ops., • T&S at Scale is not a mature function - it has been built reactively over time in response to specific fraud incidents. The platform needs a cohesive strategy that balances fraud mitigation with contributor growth, reduces false positives, and replaces ad-hoc solutions with scalable systems. You will inherit a patchwork of existing tools, signals and products and shape them into a coherent, defensible platform with mature processes., • The contributor marketplace creates unique fraud vectors: account farming, task manipulation, quality gaming, payment fraud, and collusion - all evolving as AI capabilities change. You need to stay at the leading edge of adversarial behavior in AI-native marketplaces., • Set the product vision and strategy for Trust & Safety at Scale, shifting the function from reactive incident response to proactive, intelligence-driven fraud prevention, • Own the product roadmap for fraud detection, prevention, and remediation systems - including the Risk Engine, data signals intelligence, anomaly detection, and contributor investigation tooling, • Build a balanced approach to fraud mitigation and growth protection - ensuring T&S interventions don't unnecessarily throttle the contributor funnel or create friction for legitimate users, • Investigate and deeply understand contributor behavior patterns to identify emerging fraud vectors before they become material, • Drive cross-functional alignment across Ops, EPD, Finance, and executive leadership - independently handling escalations, stakeholder conflicts, and weekly fire drills without requiring constant HM involvement, • Translate complex fraud patterns into clear product requirements for engineering, and partner with data science to build and improve detection models, • Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, false positive rates, contributor impact, and financial exposure, • Establish business cases quantifying fraud losses and ROI of prevention investments to secure resources and prioritize effectively, • 8-12 years of experience in Product Management in the tech industry, with at least 3-4 years leading Trust & Safety, Fraud, or Risk product teams, • Deep domain expertise in fraud (not security) - specifically consumer product fraud, marketplace fraud, or contributor/gig-economy fraud. FinTech/payments fraud alone is not sufficient; we need someone who understands platform-level abuse and adversarial user behavior, • Track record of building T&S systems at consumer-facing marketplace companies (e.g., Uber, DoorDash, Airbnb, eBay, Instacart) or similar high-growth platforms with global contributor/user bases, • Proven ability to balance fraud mitigation with growth protection - you've made hard tradeoff decisions between blocking bad actors and preserving good UX, • Exceptional stakeholder management skills - you've navigated complex orgs with Ops, Engineering, and leadership stakeholders who have competing priorities and strong opinions. You handle escalations, build trust, and drive alignment independently, • Strong analytical capabilities - you can investigate contributor behavior data, define fraud metrics, and build detection logic. High proficiency in SQL, • Experience setting ambitious product vision and executing against it - you've moved a function from reactive to proactive, • Experience building T&S systems with global/international coverage across diverse contributor populations, • Understanding of AI-enabled fraud vectors and how adversarial behavior evolves as AI capabilities improve, • Experience with contributor/gig-economy platforms specifically (not just consumer marketplaces) About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Build synthetic data pipelines to generate enterprise environments to use for RL post-training, • Create agents to convert traces from production into actionable insights to use to improve agents, • Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms, • 3+ years of building with LLMs in a production environment, • Clear experiences with constructing high quality data to use to improve an LLM/Agent, • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression. You will: • Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins, • Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs, • Build out pipeline infrastructure to ensure quality and efficiency, • Train, coach, and manage dynamic and global teams, • Build analytics to make data-driven decisions, • Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world, • Give regular progress updates to Scale's executive team You Will Have:, • A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes, • 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE, • Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems, • Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$112,000—$190,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. • Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers, • Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal, • Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions, • Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes, • Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency, • Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence, • Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements, • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI builds the data infrastructure that powers the world's most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams - providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable. Scale operates as a two-sided marketplace. On the demand side, our customers - leading AI labs and enterprises - need precisely labeled, expert-curated data to train and evaluate their models. On the supply side, we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale. We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI - with dedicated engineering, design, and data science teams. • Scale's GenAI platform is how the world's leading AI companies - from frontier model labs to Fortune 500 enterprises - create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality., • These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable., • Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end - from strategy to execution to instrumentation. Task UX (Demand Side) - Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models. Multi-Dimensional Quality (Demand Side) - Own Scale's MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on - defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster. Pay & Incentives (Supply Side) - This PM owns the payment and incentive systems that serve Scale's global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction. This role sits at the intersection of marketplace economics, global payments operations, and contributor experience. • Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact, • Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design, • Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users, • Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities, • Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation, • Establish business cases and projected return on investment to identify and prioritize opportunities, • Partner with finance and business leaders to manage impact on the profitability and growth of the overall business, • Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners, • 4-10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4-6 yrs, L5: 6-8 yrs, L6: 8-10+ yrs), • Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments, • Experience translating complex technical systems into clear product strategies - comfort engaging deeply with engineering and data science teams, • Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences, • Experience building products from the ground up and iterating through the scaling journey of a business, • Experience in AI/ML, data infrastructure, or marketplace businesses, • Strong understanding of the AI landscape - model training workflows, data labeling, evaluation, and deployment, • Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment. This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability. The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions. • Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria, • Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans, • Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems, • Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration, • Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations, • Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement, • Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline, • Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production, • Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities, • 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role, • Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact, • Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans, • Strong foundation in statistics, experimentation, causal reasoning, and measurement, • Experience building tools or products, not just analyses - for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications, • Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work, • Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly, • Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives, • High ownership and bias toward shipping in fast-moving environments with incomplete information, • Experience in a forward deployed, solutions, consulting, or other client-facing technical role, • Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, • Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, • Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, • Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, • Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$167,200—$209,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world's leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: • Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies., • Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions., • End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure., • Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation., • Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design., • At least 2 years of relevant experience is preferred, • Proven track record of shipping high-quality products and features at scale., • Strong problem-solving skills and the ability to work independently or as part of a collaborative team., • Desire to thrive in a fast-paced, dynamic environment., • Ability to turn business and product ideas into engineering solutions., • Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Ability to adapt quickly to the ever-changing world of generative AI., • Experience with large-scale data processing and distributed systems., • Familiarity with machine learning and AI concepts., • Experience working directly with enterprise customers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale, we develop reliable AI systems for the world's most important decisions. Scale's product marketing team is responsible for developing and executing strategies that drive awareness and adoption for Scale's offering. We understand our customers' needs and challenges and ensure that their voices are reflected in product development and messaging. We then partner closely with product, engineering, research, sales, comms, and the broader marketing team to create a cohesive customer experience across all our channels. This role sits at the center of Scale's GenAI data products, which power the world's leading AI labs. As one of the largest providers of high-quality AI training data, we've built our reputation on speed, quality, frontier research, and a growing suite of multimodal data capabilities. The market is evolving fast, and we're looking for a marketer who can go on offense to sharpen our narrative and build a playbook that earns the trust of the AI community. The ideal candidate combines strategic thinking with hands-on execution. You will: • Own positioning and messaging for Scale's GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers., • Lead the content and social strategy for ___' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community., • Build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves., • Partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business, • Develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum., • 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences., • Strong technical fluency and passion for AI. You can hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance., • Experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners, • Excellent written communication and storytelling skills - you can make complex technical concepts compelling without oversimplifying them., • Familiarity with the AI training data market, or adjacent data and infrastructure spaces., • An existing network or relationships within the AI research community. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.